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ORCIDExpert Systems - The Journal of Knowledge Engineering, Volume 42
Volume 42, Number 1, January 2025
Review
- Mariana Coelho, Martin Cerný
, João Manuel R. S. Tavares:
Deep learning methods to detect Alzheimer's disease from MRI: A systematic review. - Anuradha Dahiya, Sukhdip Singh, Gulshan Shrivastava:
Android malware analysis and detection: A systematic review.
Original Article
- Shanza Rasham, Habib Ullah Khan, Fahad Maqbool, Muhammad Saad Razzaq, Sajid Anwar, Muhammad Ilyas:
Structured knowledge creation for Urdu language: A DBpedia approach. - Maria-Alexandra Paun, Mihai-Virgil Nichita, Vladimir-Alexandru Paun, Viorel Puiu Paun:
Fifth-generation fractal antenna design based on the Koch Snowflake geometry. A fractal theory application. - Fahad Maqbool, Muhammad Fahad, Muhammad Ilyas, Hajira Jabeen:
Graph colouring using evolutionary computation: A case study of blind naked mole-rat algorithm. - Varun Ganjigunte Prakash, Manu Kohli, Aragulla Prasad Prathosh, Monica Juneja, Manushree Gupta, Smitha Sairam, Sadasivan Sitaraman, Anjali Sanjeev Bangalore, John Vijay Sagar Kommu, Lokesh Saini, Prashant Ramesh Utage, Nishant Goyal:
Video-based real-time assessment and diagnosis of autism spectrum disorder using deep neural networks. - Gousia Habib, Shaima Qureshi:
Compressed lightweight deep learning models for resource-constrained Internet of things devices in the healthcare sector. - Aparna Gopalakrishnan, Narayan P. Kulkarni, Chethan B. Raghavendra, Raghavendra Manjappa, Prasad B. Honnavalli, Sivaraman Eswaran:
PriMed: Private federated training and encrypted inference on medical images in healthcare. - Majed S. Balalaa, Anouar Ben Mabrouk:
A wavelet multifractal model for quality of life index measuring during pandemics and crises. - Selim Reza, Marta Campos Ferreira, José J. M. Machado, João Manuel R. S. Tavares:
A citywide TD-learning based intelligent traffic signal control for autonomous vehicles: Performance evaluation using SUMO. - José Machado, Carla Rodrigues, Regina Sousa, Luís Mendes Gomes:
Drug-drug interaction extraction-based system: An natural language processing approach. - Divager Balasubramaniyan, Nor Azura Husin, Norwati Mustapha, Nurfadhlina Mohd Sharef, Teh Noranis Mohd Aris:
Flock optimization induced deep learning for improved diabetes disease classification. - Sarhang Salahadin Saleh, Khairi Ali Auso:
The role of transformational leadership in enhancing competitive advantage for E-business analysis in organisational practices. - Sabrine Arfaoui, Nidhal Ben Abdallah:
Robustness and sensitivity of some wavelet multifractal models in fractal data modelling. - Maragoni Mahendar, Arun Malik, Isha Batra:
Emotion estimation model for cognitive state analysis of learners in online education using deep learning. - Madala Guru Brahmam, R. Vijay Anand:
MBRSDTC: Design of a multimodal bioinspired model to improve resource scheduling efficiency with differential task-level constraints. - Belhassen Akrout:
Deep facial emotion recognition model using optimal feature extraction and dual-attention residual U-Net classifier. - Sagnik Sarkar, Shaashwat Agrawal, Aditi Chowdhuri, Ramani Selvanambi:
Progressive search personalization and privacy protection using federated learning. - Joshua Samual, Masnida Hussin, Nor Asilah Wati Abdul Hamid, Azizol Abdullah:
Frequency aware task scheduling using DVFS for energy efficiency in Cloud data centre. - Felipe Buitrago, Luis Fernando Castillo Ossa, Jeferson Arango-López:
Automatic detection surface defects based on convolutional neural networks and deflectometry. - Nuha Qais Abdulmajeed, Belal Al-Khateeb, Mazin Abed Mohammed:
Voice pathology identification system using a deep learning approach based on unique feature selection sets. - Allan Messeder Caldas Bretas, Alexandre Mendes, Stephan K. Chalup, Martin Jackson, Riley Clement, Claudio Sanhueza:
Addressing deadlock in large-scale, complex rail networks via multi-agent deep reinforcement learning. - Bàrbara Llacay, Gilbert Peffer:
Categorical surrogation of agent-based models: A comparative study of machine learning classifiers. - Dalila Durães, Flávio Arthur O. Santos, Francisco Supino Marcondes, Niklas Hammerschmidt, Paulo Novais:
Applying multisensor in-car situations to detect violence. - Zichen Wu, Jingyi He, Siyuan Hu, Jiabao Wen:
The prediction of two-dimensional intelligent ocean temperature based on deep learning. - Haitao Hu, Piercarlo Cattani, Shuli Mei:
Hermite-Shannon-Cosine spectral method for fractional partial differential equations. - Vishwanath Madhava Shervegar:
A robust sliding window adaptive filtering technique for phonocardiogram signal denoising. - Huosong Xia, Yaqi Tian, Justin Zuopeng Zhang, Yulong Liu:
Exploring the impact of online news sentiment and relevance on stock market risks: A signalling theory perspective. - Borja Bordel, Ramón Alcarria, Tomás Robles:
Interferenceless coexistence of 6G networks and scientific instruments in the Ka-band. - Jun Ju, Hanna Kurniawati, Dirk P. Kroese, Nan Ye:
Model-based offline reinforcement learning for sustainable fishery management. - S. Nagarajan, P. Shobha Rani, M. S. Vinmathi, V. Subba Reddy, Angel Latha Mary Saleth, D. Abdus Subhahan:
Multi agent deep reinforcement learning for resource allocation in container-based clouds environments. - Xiaotong Wu, Jiaquan Gao, Muhammad Bilal, Fei Dai, Xiaolong Xu, Lianyong Qi, Wanchun Dou:
Federated learning-based private medical knowledge graph for epidemic surveillance in internet of things. - Yanzhe Ma:
Deep learning-based image processing for financial audit risk quantification in healthcare. - R. Mythili, B. Sathya bama, P. Santhosh Kumar, Sanchali Das, Ramya Thatikonda, Syed Inthiyaz:
Radial basis function networks with lightweight multiscale fusion strategy-based underwater image enhancement. - J. Syed Nizamudeen Ahmed, M. Mohamed Sathik, Krishnan Nallaperumal, Senthamarai Kannan Kaliaperumal, Parasuraman Kumar, T. Arumuga Maria Devi:
Deep learning techniques on 3D-MRI lung images for detection and segmentation of COVID-19 virus. - Ali Alqahtani, Nayef Alqahtani, Abdulaziz A. Alsulami, Stephen Ojo, Prashant Kumar Shukla, Shraddha V. Pandit, Piyush Kumar Pareek, Hany S. khalifa:
Classifying electroencephalogram signals using an innovative and effective machine learning method based on chaotic elephant herding optimum. - Bhagyashri Devi, M. Mary Synthuja Jain Preetha:
Facial emotion recognition using convolutional neural network based krill head optimisation. - Fábio Caiado, Joana Fonseca, Joana Silva, Soraia Neves, Ana Moreira, Ramiro Gonçalves, José Martins, Frederico Branco, Manuel Au-Yong-Oliveira:
The impact of digital influencers on product/service purchase decision making - An exploratory case study of Portuguese people. - Okan Buyuktepe, Cagatay Catal, Gorkem Kar, Yamine Bouzembrak, Hans J. P. Marvin, Anand Gavai:
Food fraud detection using explainable artificial intelligence. - Suvarna Joshi, Stephen Ojo, Sangeeta Yadav, Preeti Gulia, Nasib Singh Gill, Hassan Alsberi, Ali Rizwan, Mohamed M. Hassan:
Object detection and classification from compressed video streams. - Kapil Aggarwal, Bui Thanh Khoa, K. V. Daya Sagar, Ruchi Agrawal, Mallika Dhingra, Jagrit Dhingra, Lakshmana Kumar:
Marketing information system based on unsupervised visual data to manage transportation industry using signal processing. - Mamoune Benaida, Ibtissam Abnane, Ali Idri:
Deep learning based one step and multi-steps ahead forecasting blood glucose level. - Yibo Wang, Meng Xi, Yubo Weng:
Intelligent path planning algorithm of Autonomous Underwater Vehicle based on vision under ocean current. - Thanh Manh Le, Nguyen Thi Dinh, Thanh The Van:
Developing a model semantic-based image retrieval by combining KD-Tree structure with ontology. - Hasnae Zerouaoui, Ali Idri, Omar El Alaoui:
DHHoE: Deep hybrid homogenous ensemble for digital histological breast cancer classification. - R. Thilagavathy, J. Jagadeesan, A. Parkavi, M. Radhika, S. Hemalatha, Mohammad Gouse Galety:
Digital transformation in healthcare using eagle perching optimizer with deep learning model. - Mahesh Boddu, Soumitra Kumar Mandal:
VLSI implementation of image compressor using probabilistic run length coding. - Aaishwarya Khalane, Rikesh Makwana, Talal Shaikh, Abrar Ullah:
Evaluating significant features in context-aware multimodal emotion recognition with XAI methods. - Qi Yang, Songhu Liu, Tianzhuo Gong:
Improve the application of reinforcement learning and multi-modal information in music sentiment analysis. - Azath Mubarakali, A. Shobanadevi, Hazhar Omer Mohammed, Rahul Pradhan, Vuyyuru Lakshma Reddy, B. Bizu, V. Praveena:
Advancements in business processes to improve business marketing processes through advanced signal processing. - Jing Nie, Jiachen Jiang, Yang Li, Huting Wang, Sezai Ercisli, LinZe Lv:
Data and domain knowledge dual-driven artificial intelligence: Survey, applications, and challenges. - Saurabh Agarwal, K. V. Arya:
CXRNet: CNN-attention based CXR image classifier. - S. Sreelakshmi, V. S. Anoop:
A deep convolutional neural network model for medical data classification from computed tomography images. - Guiling Song, Wei Xu:
A method of automatic field of view generation and path planning for automated x-ray inspection. - Dongxia Zheng, Yi Yuan:
Pose recognition of dancing images using fuzzy deep learning technique in an IoT environment. - Bahareh Amirshahi, Salim Lahmiri:
Investigating the effectiveness of Twitter sentiment in cryptocurrency close price prediction by using deep learning. - Ahmed Alkhayyat, Ali Mahdi Zalzala, Asaad A. M. AL-Salih, Anwar Ja'afar Mohamad Jawad, Wameedh Riyadh Abdul Adheem, Jamshed Iqbal, Ibraheem Kasim Ibraheem, Waleed K. Ibrahim, Mustafa Musa Jaber, Asaad Shakir Hameed:
A novel class of adaptive observers for dynamic nonlinear uncertain systems. - Antonio Bruno, Davide Moroni, Massimo Martinelli:
Efficient adaptive ensembling for image classification. - Fuxian Ning, Jiahui Jin, Lingling Zhang, Da Wang:
Risk analysis of China's financial market collapse based on cloud computing and machine learning algorithms. - Vivekanandan Dharmalingam, Lakshmi Harika Palivela, Pugazhendi Elangovan:
Effective dehazing of night-time images using open dark channel prior and wavelet transform. - Jinjing Chi:
Speech recognition and artificial intelligence based on the development of music system. - Marinko Skare, Beata Gavurova, Volodymyr Polishchuk:
A large-scale decision-making model for the expediency of funding the development of tourism infrastructure in regions. - Huinan Liu, Mohd Feroz Shah De Costa bin Mohd Faris De Costa, Megat Al-lmran Bin Yasin, Qijie Ruan:
A study on how social media influences on impulsive buying. - Weiguang Liu, Abdulmajeed Alqhatani, Fatima Asiri, Ely Salwana:
Customer preference analysis towards online shopping decisions based on optimized feature extraction. - Zheng Xu, Yuzan Dai, Ji Liu:
An empirical study of blockchain-based models of interest margin of secondary capital bond issuance in the internet of things environment. - Himanshu Kumar Singh, Kedar Nath Singh, Amit Kumar Singh:
Secure transmission of ocean images using deep learning-based data hiding. - Meng Liu, Zhao Min, Li Li, Piercarlo Cattani, Shuli Mei:
Shannon-Cosine wavelet precision integration method for image enhancement based on fractional partial differential equations. - Ashwani Kumar Dubey, Jibi G. Thanikkal:
Deep learning based identification of aquatic and semi aquatic plants. - Wenli Shan:
Optimal pricing strategies and decision-making systems in e-commerce using integrated fuzzy multi-criteria method. - Muhammad Farman, Ali Akgül, Harish Garg, Dumitru Baleanu, Evren Hincal, Sundas Shahzeen:
Mathematical analysis and dynamical transmission of monkeypox virus model with fractional operator. - Mengrui Zhu, Jiankun Wang:
Exploration and practice of data thinking in the application of E-Commerce art design course under the background of big data. - Martin Fyvie, John A. W. McCall, Lee A. Christie, Alexander E. I. Brownlee, Manjinder Singh:
Towards explainable metaheuristics: Feature extraction from trajectory mining. - C. Thangaraj, D. Easwaramoorthy, G. Muhiuddin, Bilel Selmi, Vladimir V. Kulish:
Fractal based automatic detection of complexity in COVID-19 X-ray images. - Jian Pi:
Electronic music composition thinking using visual learning and visual sensing technology. - Alexandru Capatina, Adrian Micu, Angela-Eliza Micu, Samuel Ribeiro-Navarrete:
Knowledge maps for large-scale group decision making in social media content analysis. - Jesús Ángel Román Gallego, María Luisa Pérez-Delgado, Marcos Luengo Viñuela, María-Concepción Vega-Hernández:
Artificial Intelligence Web Application Firewall for advanced detection of web injection attacks. - Arslan Naseer, Muhammad Muheet Khan, Fahim Arif, Waseem Iqbal, Awais Ahmad, Ijaz Ahmad:
An improved hybrid model for cardiovascular disease detection using machine learning in IoT. - Carlos Fernandez-Basso, Karel Gutiérrez-Batista, Juan Gómez-Romero, M. Dolores Ruiz, María J. Martín-Bautista:
An AI knowledge-based system for police assistance in crime investigation. - Momina Meer, Muhammad Attique Khan, Kiran Jabeen, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Mohammad Shabaz, Faheem Khan:
Deep convolutional neural networks information fusion and improved whale optimization algorithm based smart oral squamous cell carcinoma classification framework using histopathological images. - Shuang Guo, Kun Wu, Seunggil Jeon, Xiaomin Yang:
IETAFusion: An illumination enhancement and target-aware infrared and visible image fusion network for security system of smart city. - Shitharth Selvarajan, Achyut Shankar, Mueen Uddin, Abdullah Saleh Alqahtani, Taher Al-Shehari, Wattana Viriyasitavat:
A smart decentralized identifiable distributed ledger technology-based blockchain (DIDLT-BC) model for cloud-IoT security. - Jeferson Arango-López, Gustavo A. Isaza, Fabian Ramirez, Néstor D. Duque, Jose Montes:
Cloud-based deep learning architecture for DDoS cyber attack prediction. - Chao Hua, Zhenhua Zhang, Jianjun Miao, Jingwei Han, Zhiyuan Zhu:
Spatial coordination and industrial pollution of urban agglomerations: Evidence from the Yellow River Basin in China. - Collins Ogundipe, Alex Ellery:
Adaptive solution to transfer learning of neural network controllers from earth to space environments. - Philippe Chassy, Jon Cole, Chloe Brennan:
Evolution of confrontation and cooperation in simple organisms as a function of environmental resources and cost of a conflict. - Shtwai Alsubai, Ashit Kumar Dutta, Abdul Rahaman Wahab Sait, Yasser Adnan Abu Jaish, Bader Hussain Alamer, Hussam Eldin Hussein Saad, Rashid Ayub:
Enhanced slime mould optimization with convolutional BLSTM autoencoder based malware classification in intelligent systems. - Andrea Vázquez-Ingelmo, Alicia García-Holgado, Francisco José García-Peñalvo, Roberto Therón, Ricardo Colomo Palacios:
A new frontier in dashboard design: Evaluating an innovative meta-modelling approach through expert insights. - Jairo Ivan Vélez Bedoya, Manuel González Bedia, Luis Fernando Castillo Ossa, Jeferson Arango-López, Jaime Díaz Arancibia:
Exploring deep learning techniques for illuminance estimation. - Manu Kohli, Arpan Kumar Kar, Shuchi Sinha, Swati Kohli:
Stakeholder perception towards a machine-learning-based digital platform for detection and management of autism spectrum disorder. - Yuhuan Kong:
Preventing and mitigating risks of rumours during major pandemics in the era of artificial intelligence: A perspective on vulnerability. - Hamad Naeem, Farhan Ullah, Gautam Srivastava:
Classification of intrusion cyber-attacks in smart power grids using deep ensemble learning with metaheuristic-based optimization. - Anbar Hussain, Wajid Ali, Awais Ahmad, Muhammad Shahid Iqbal, Syed Atif Moqurrab, Anand Paul, Sohail Jabbar, Sheeraz Akram:
Enhancing COVID-19 misinformation detection through novel attention mechanisms in NLP. - Ramesh Kait, Sarbjit Kaur, Purushottam Sharma, Chhikara Ankita, Tajinder Kumar, Xiaochun Cheng:
Fuzzy logic-based trusted routing protocol using vehicular cloud networks for smart cities. - Junlin Qiu, Yongshan Shen, Jianchu Lin, Yuxin Qin, Jian Yang, Hengdan Lei, Minghui Li:
An enhanced method for surface defect detection in workpieces based on improved MobileNetV2-SSD. - Dipika Jain, Akshi Kumar:
AI unveiled personalities: Profiling optimistic and pessimistic attitudes in Hindi dataset using transformer-based models. - Pinki, Rakesh Kumar, S. Vimal, Norah Saleh Alghamdi, Gaurav Dhiman, Subbulakshmi Pasupathi, Aarna Sood, Wattana Viriyasitavat, Assadaporn Sapsomboon, Amandeep Kaur:
Artificial intelligence-enabled smart city management using multi-objective optimization strategies. - Jing Liang, Yan Gong:
Security and privacy protection protocol based on edge computing in smart campus. - Khalid Haseeb, Tanzila Saba, Amjad Rehman, Naveed Abbas, Pyoung Won Kim:
AI-driven IoT-fog analytics interactive smart system with data protection. - José Alejandro Mosquera Asimbaya, Gabriel M. Ramirez, Jaime Díaz Arancibia:
Advancing democratic processes in Ecuador: A case study on neural network-driven OCR for election report verification. - Mohanad R. Aljanabi, Keivan Borna, Shamsollah Ghanbari, Ahmed J. Obaid:
Integrating singular value decomposition with deep learning for enhanced travel time estimation in multimodal freight transportation networks. - Xiaohong Liu, Chengzhen Xu, Yinghao Pan, Xingchen Li, Qingyuan Zhu:
Data-driven allocation of renewables quota among regional power industries under the policy of renewable electricity standard. - Sami J. Habib, Paulvanna Nayaki Marimuthu:
Extracting the explore-exploit intelligence of Physarum to manage the sustainability of an enterprise network. - Shynar Mussiraliyeva, Milana Bolatbek, Gulshat Baispay:
Investigating long short-term memory approach for extremist messages detection in Kazakh language. - Fakhri Alam Khan:
Cloud-based provenance framework for duplicates identification and data quality enhancement. - Uday Mittal, Shivam Goyal, Egna Praneeth Gummana, Vinay Chamola, Shivi Agarwal, Trilok Mathur:
FoodBlock: A secure and cost-optimal framework for online food ordering using blockchain. - Chi Ho Lau, Sammy Chan:
Comparison on resilience and energy efficiency of authentication schemes in IoT networks. - Fancy Chelladurai, Nagappan Krishnaraj, K. Ishwarya, G. Raja, Chandrasekaran Shyamala:
Modelling of healthcare data analytics using optimal machine learning model in big data environment. - Gintautas Dzemyda, Olga Kurasova, Viktor Medvedev, Ausra Suboniene, Aiste Kielaite-Gulla, Arturas Samuilis, Dziugas Jagminas, Kestutis Strupas:
Deep learning-based aggregate analysis to identify cut-off points for decision-making in pancreatic cancer detection. - Shumaila Khan, Iqbal Qasim, Wahab Khan, Khursheed Aurangzeb, Javed Ali Khan, Muhammad Shahid Anwar:
A novel transformer attention-based approach for sarcasm detection. - Limin Zhang:
Prediction of Liaoning province steel import and export trade based on deep learning models. - Chao Zhong, Pengjun Li, Jinlong Wang, Xiaoyun Xiong, Zhihan Lv, Xiaochen Zhou, Qixin Zhao:
Enterprise violation risk deduction combining generative AI and event evolution graph. - Ke Meng, Zhiyong Wu, Muhammad Bilal, Xiaoyu Xia, Xiaolong Xu:
Blockchain-enabled decentralized service selection for QoS-aware cloud manufacturing. - Madallah Alruwaili, Muhammad Hameed Siddiqi, Muhammad Idris, Salman Alruwaili, Abdullah Saleh Alanazi, Faheem Khan:
Advancing Disability Healthcare Solutions Through Privacy-Preserving Federated Learning With Theme Framework. - Mohammed Salem Atoum, Ala Abdulsalam Alarood, Eesa Abdullah Alsolmi, Areej Obeidat, Moutaz Alazab:
Predictive Analysis of Global Terrorist Attacks Using Lexical Patterns Across Multiple Datasets.
Survey Article
- Alejandro Platas-López, Alejandro Guerra-Hernández, Marcela Quiroz-Castellanos, Nicandro Cruz-Ramírez:
A survey on agent-based modelling assisted by machine learning. - Fátima Leal, Bruno Veloso, Benedita Malheiro, Juan C. Burguillo:
Towards adaptive and transparent tourism recommendations: A survey.
Volume 42, Number 2, February 2025
Review
- Mourad Jbene, Abdellah Chehri, Rachid Saadane, Smail Tigani, Gwanggil Jeon:
Intent detection for task-oriented conversational agents: A comparative study of recurrent neural networks and transformer models. - Qasem Abu Al-Haija, Ayat Droos:
A comprehensive survey on deep learning-based intrusion detection systems in Internet of Things (IoT). - Huanling Tang, Yulin Wang, Yu Zhang, Quansheng Dou, Mingyu Lu:
TS-Mixer: A lightweight text representation model based on context awareness. - Charaf Ouaddi, Lamya Benaddi, El Mahi Bouziane, Abdeslam Jakimi, Abdellah Chehri, Rachid Saadane:
DSL-Driven Approaches and Metamodels for Chatbot Development: A Systematic Literature Review.
Original Article
- Lakmini Herath, Dulani Meedeniya, Janaka Marasinghe, Vajira Weerasinghe, Tele Tan:
Autism spectrum disorder identification using multi-model deep ensemble classifier with transfer learning. - Allabaksh Shaik, Shaik Mahaboob Basha:
Leveraging YOLOv5s with optimization-based effective anomaly detection in pedestrian walkways. - Sultan Alfarhood:
Soutcom: Real-time sentiment analysis of Arabic text for football fan satisfaction using a bidirectional LSTM. - Habib Ur Rahman, Muhammad Asif Habib, Shahzad Sarwar, Awais Ahmad, Anand Paul, Yazeed Alkhrijah, Waeal J. Obidallah:
Al-based energy aware parent selection mechanism to enhance security and energy efficiency for smart homes in Internet of Things. - Ameer N. Onaizah, Yuanqing Xia, Ahmed J. Obaid, Khurram Hussain:
Deep learning based brain tumour architecture for weight sharing optimization in federated learning. - Jing Wang, Rundong Xin, Osama Alfarraj, Amr Tolba, Qitao Tang:
Privacy preserving security using multi-key homomorphic encryption for face recognition. - Alexânder Araújo Reis, Rafael Angelo Santos Leite, Cicero Eduardo Walter, Igor Bezerra Reis, Ramiro Gonçalves, José Martins, Frederico Branco, Manuel Au-Yong-Oliveira:
The hierarchical importance of patent's characteristics to licensing: An analysis through Random Forest. - Rahul Chiranjeevi Veluri, Shakir Khan, Senthil Pandi Sankareswaran, Mohammad Shabaz, Ahmed Farouk, Nisreen Innab:
Modified M-RCNN approach for abandoned object detection in public places. - Onkar Singh, Ajay Jaiswal, Nitin Kumar, Naveen Kumar:
Random permutation-based linear regression for cancelable biometrics. - Ashwani Kumar Dubey, Jibi G. Thanikkal, Puneet Sharma, Manoj Kumar Shukla:
A unique morpho-feature extraction algorithm for medicinal plant identification. - Hunish Bansal, Basavraj Chinagundi, Prashant Singh Rana, Neeraj Kumar:
Time series generative adversarial network for muscle force prognostication using statistical outlier detection. - Haojie Zhao, Shuang Guo, Gwanggil Jeon, Xiaomin Yang:
A multi-focus image fusion network deployed in smart city target detection. - Jiahai Dai, Huimin Li, Shan Jiang, Hongwei Yang:
An efficient object tracking based on multi-head cross-attention transformer. - Eduardo M. Rodrigues, Yassine Baghoussi, João Mendes-Moreira:
KDBI special issue: Explainability feature selection framework application for LSTM multivariate time-series forecast self optimization. - Lei Shi, Han Wu, Xu Ding, Hao Xu, Sinan Pan:
A generative adversarial network-based client-level handwriting forgery attack in federated learning scenario. - Moolchand Sharma, Aryan Bhatia, Akhil, Ashit Kumar Dutta, Shtwai Alsubai:
Optimizing hybrid deep learning models for drug-target interaction prediction: A comparative analysis of evolutionary algorithms. - Jueun Jeon, Byeonghui Jeong, Seungyeon Baek, Young-Sik Jeong:
TMaD: Three-tier malware detection using multi-view feature for secure convergence ICT environments. - Ezaz Mohammed Al-dahasi, Rama Khaled Alsheikh, Fakhri Alam Khan, Gwanggil Jeon:
Optimizing fraud detection in financial transactions with machine learning and imbalance mitigation. - Kyung-yeul Kim, Young-bo Yang, Mi-ra Kim, Jihie Kim, Ji Su Park:
Predicting early depression in WZT drawing image based on deep learning. - Afonso Baldo, Paulo J. S. Ferreira, João Mendes-Moreira:
Sampling approaches to reduce very frequent seasonal time series. - Jian Zheng, Seunggil Jeon, Xiaomin Yang:
GRDATFusion: A gradient residual dense and attention transformer infrared and visible image fusion network for smart city security systems in cloud and fog computing. - Reda Salama:
Integrating spotted hyena optimization technique with generative artificial intelligence for time series forecasting. - Fakhri Alam Khan, Abdullah Khan, Muhammad Imran, Awais Ahmad, Gwanggil Jeon:
Advancements in deep learning for Alzheimer's disease diagnosis: A comprehensive exploration and critical analysis of neuroimaging approaches. - Shruti, Shalli Rani, Wadii Boulila:
Securing internet of things device data: An ABE approach using fog computing and generative AI. - Shuhan Meng, Xianhua Wu, Hua Li, You Wu:
Trajectory mapping and future charting of hydrogen energy policy: A systematic review. - Yue Zhao, Farhan Ullah, Chien-Ming Chen, Mohammed Amoon, Saru Kumari:
Efficient malware detection using hybrid approach of transfer learning and generative adversarial examples with image representation. - Mritunjay Shall Peelam, Gaurav Kumar, Kunjan Shah, Vinay Chamola:
DemocracyGuard: Blockchain-based secure voting framework for digital democracy. - Alishba Nawaz, Waseem Iqbal, Ayesha Altaf, Abrar Almjally, Hatoon S. Alsagri, Bayan Ibrahimm Alabdullah:
CATcAFSMs: Context-based adaptive trust calculation for attack detection in fog computing based smart medical systems. - Yue Wang, Yin Wang, Yansu Qi, Sheng Miao, Weijun Gao:
Application of visual attribute transfer technology in analysing changes in emotional expression in picture books. - Liangpeng Wu, Yujing Tang, Qingyuan Zhu:
Selection preference and effectiveness quantification of provincial energy security policies in China. - Nishant Singh, Aruna Bhat:
Underwater image enhancement using contrast correction. - Yuping Liu, Honglong Chen, Xiaolong Liu, Wentao Wei, Huansheng Xue, Osama Alfarraj, Zafer Al-Makhadmeh:
Optimizing task allocation with temporal-spatial privacy protection in mobile crowdsensing. - Umit Demirbaga:
Advancing anomaly detection in cloud environments with cutting-edge generative AI for expert systems. - Sarah McAvinue, Kapal Dev:
Comparative evaluation of Large Language Models using key metrics and emerging tools. - Zhixiang Zhou, Yifei Zhu, Yannan Li, Huaqing Wu:
How does energy transition improve energy utilization efficiency? A case study of China's coal-to-gas program. - Chenquan Gan, Xinghai Xiao, Qingyi Zhu, Deepak Kumar Jain, Akanksha Saini, Amir Hussain:
Federated learning-driven dual blockchain for data sharing and reputation management in Internet of medical things. - Afifa Khelifa, Haythem Ghazouani, Walid Barhoumi:
Label distribution learning for compound facial expression recognition in-the-wild: A comparative study. - Otmane Mallouk, Nour-Eddine Joudar, Mohamed Ettaouil:
STP-CNN: Selection of transfer parameters in convolutional neural networks. - Peng Liang, Hang Tu, Amir Hussain, Ziyuan Li:
MTFDN: An image copy-move forgery detection method based on multi-task learning. - Zhonghui He, Biao Tang, Chan Gu, Ning Ran:
Enhanced Monte-Carlo tree search for dynamic flexible job shop scheduling with transportation time constraints. - Sushil Kumar Singh, Shailendrasinh Chauhan, Abdulrahman Alsafrani, Muhammad Islam, Hammad I. Sherazi, Inam Ullah:
Optimizing healthcare data quality with optimal features driven mutual entropy gain. - Said Yasin, Adrian Paschke, Jamal Al Qundus:
Prediction of stock prices with automated reinforced learning algorithms. - Mostafa Monemizadeh, Seyed Rouhollah Samareh Hashemi, Morteza Monemizadeh:
On the gravitation-based classification: A novel algorithm using equilibrium points for enhanced learning and dimensionality reduction. - Shitharth Selvarajan, Hariprasath Manoharan, Adil Omar Khadidos, Alaa O. Khadidos, Achyut Shankar, Carsten Maple, Suresh Singh:
Generative artificial intelligence and adversarial network for fraud detections in current evolutional systems. - Siva Sai, Arun Kumar Giri, Vinay Chamola:
A novel hybrid random convolutional kernels model for price volatlity forecasting of precious metals. - Weiwei Yu, Siong Yuen Kok, Gautam Srivastava:
EmoiPlanner: Human emotion and intention aware socially acceptable robot navigation in human-centric environments. - Serkan Özen, Adnan Yazici, Volkan Atalay:
Hybrid deep learning models with data fusion approach for electricity load forecasting. - Ömür Aydogmus, Muhammed Fatih Talu:
Robotic frameless brain biopsy system enhanced by facial mesh registration. - Kashif Naseer Qureshi, Hanaa Nafea, Pyoungwon Kim:
Advancing healthcare systems: A tri-tier architecture by using data communication, AI data generative and regulation and compliance standards. - João Pinto da Silva, Ana Rita Nogueira, José Pinto, Manuel Curral, António Correia Alves, Ricardo Teixeira Sousa:
KDBI special issue: Time-series pattern verification in CNC turning - A comparative study of one-class and binary classification. - Cédric Marco-Detchart, Giancarlo Lucca, Miquéias Amorim Santos Silva, Jaime Andres Rincon, Vicente Julián, Graçaliz Pereira Dimuro:
Sliding window based adaptative fuzzy measure for edge detection. - Alejandro Rodríguez-Arias, Noelia Sánchez-Maroño, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Isabel Lema-Blanco, Adina Dumitru:
An agent-based model to simulate the public acceptability of social innovations. - Alaa Mohammad Menshawi, Mohammad Mehedi Hassan:
A novel triage framework for emergency department based on machine learning paradigm. - Mingqiang Wu, Zhuoming Xu, Lei Zheng:
Heterogeneous graph contrastive learning with adaptive data augmentation for semi-supervised short text classification. - Imran Arshad Choudhry, Saeed Iqbal, Musaed A. Alhussein, Adnan N. Qureshi, Khursheed Aurangzeb, Rizwan Ali Naqvi:
Transforming Lung Disease Diagnosis With Transfer Learning Using Chest X-Ray Images on Cloud Computing. - Sneha Halebeedu Ramesh, Annappa Basava, Sankar Pariserum Perumal:
BENN: Balanced Ensemble Neural Network for Handling Class Imbalance in Big Data. - Bei Liu, Zhaoxuan Qiu, Jiachao Peng, Yaoyin Hu:
Temporal Evolution Pathway and Forecasting of Non-Fossil Energy Consumption and Carbon Emission Under China's Carbon Peak Target: A Markov Switching AR and RNN Approach. - Ismail Cantürk, Lale Özyilmaz:
A Deep Feature Driven Expert System to Estimate the Postmortem Interval From Corneal Opacity Development. - Sinh Van Nguyen, Son Thanh Le, Minh Khai Tran, Sach Thanh Le:
Filling the Holes on 3D Heritage Object Surface Based on Automatic Segmentation Algorithm. - Chen Xiong, Paul Honeine, Maxime Berar, Antonin Van Exem:
Support Vector Machines With Uncertainty Option and Incremental Sampling for Kriging. - Pooja Kherwa, Jyoti Arora, Tripti Sharma, Deepali Gupta, Sapna Juneja, Ghulam Muhammad, Ali Nauman:
Contextual embedded text summarizer system: A hybrid approach. - Hongwei Chen, Man Zhang, Zexi Chen:
Temporal Knowledge Graph Reasoning Based on Dynamic Fusion Representation Learning. - Juan Pablo Consuegra-Ayala, Yoan Gutiérrez, Yudivián Almeida-Cruz, Manuel Palomar:
Bias mitigation for fair automation of classification tasks. - Minghui Liu, Sasa Yang, Xin Yao:
Energy Security, Intelligence and Innovation Quality: Evidence From China's New Energy Demonstration City Policy. - Francisco Rodríguez-Sánchez, Jorge Carrillo-de-Albornoz, Laura Plaza:
Leveraging Unsupervised Task Adaptation and Semi-Supervised Learning With Semantic-Enriched Representations for Online Sexism Detection. - Sanjeev Kumar, Vikas Ranjan, Arjab Chakrabarti, Tridib Kumar Das, Anushka Singh:
Efficient Biomedical Text Summarization With Quantized LLaMA 2: Enhancing Memory Usage and Inference on Low Powered Devices. - Mariano Albaladejo-González, Rubén Gaspar Marco, Félix Gómez Mármol, Justin Reich, José A. Ruipérez-Valiente:
Improving Teacher Training Through Emotion Recognition and Data Fusion. - Marzia Canzaniello, Stefano Izzo, Diletta Chiaro, Antonella Longo, Francesco Piccialli:
CAPTURE - Computational Analysis and Predictive Techniques for Urban Resource Efficiency. - Meaghan Charest-Finn, Rickey Dubay:
General Industrial Process Optimization Method to Leverage Machine Learning Applied to Injection Moulding. - Amar Singh, Rajesh Kumar Shrivastava, Ashutosh Srivastava:
Efficient and Compressed Deep Learning Model for Brain Tumour Classification With Explainable AI for Smart Healthcare and Information Communication Systems. - Balaji T. K., Annushree Bablani, S. R. Sreeja, Hemant Misra:
TOPS: A Framework for Trusted Opinion Analysis of Product Reviews Using Hybrid Deep Learning Based D2CL Filter. - Francisco Javier Baldan, Diego García-Gil:
Benchmarking Anomaly Detection Methods: Insights From the UCR Time Series Anomaly Archive. - Daoqu Geng, Shouzheng Wang, Yihang Zhang:
Multi-Objective Federated Averaging Algorithm. - Feng Wei, Xu Zhang:
Few-Shot Contrastive Learning-Based Multi-Round Dialogue Intent Classification Method. - Hyunsook Lee, Sekyoung Youm:
Developing a digital therapeutic for obesity management through 3D human body reconstruction. - George Varelas, Giannis Tzimas:
Interval Time Series Forecasting: An Innovative Approach Transforming Interval to Single Time Series. - Minji Kim, Joon Yoo, OkRan Jeong:
MeDi-TODER: Medical Domain-Incremental Task-Oriented Dialogue Generator Using Experience Replay. - Zain Ul Islam Adil, Majid Iqbal Khan, Kahkishan Sanam, Saif Ur Rehman Malik, Syed Atif Moqurrab, Gautam Srivastava:
LightAuth: A Lightweight Sensor Nodes Authentication Framework for Smart Health System. - Guoshuai Zhang, Jiaji Wu, Gwanggil Jeon, Penghui Wang:
A Social Group Chatbot System by Multiple Topics Tracking and Atkinson-Shiffrin Memory Model Using AI Agents Collaboration. - Zixiao Lin, Bin Tan, Yu Lin, Qin Lu:
Crude Oil Markets Volatility Forecasting: A Novel Deep Learning Hybrid Model. - Xiang Li, Long Lan, Husam Lahza, Shaowu Yang, Shuihua Wang, Wenjing Yang, Hengzhu Liu, Yu-Dong Zhang:
Dragon Boat Optimization: A Meta-Heuristic for Intelligent Systems. - Abdul Rehman, Jerry Chun-Wei Lin, Ilona Heldal:
Enhancing Psychologists' Understanding Through Explainable Deep Learning Framework for ADHD Diagnosis. - Imran Ahmed, Misbah Ahmad, Haythem Ghazouani, Walid Barhoumi, Gwanggil Jeon:
Intelligent Computing for Crop Monitoring in CIoT: Leveraging AI and Big Data Technologies. - Sheikh Bahauddin Arnab, Md Istakiak Adnan Palash, Rakibul Islam, Hemal Hossain Ovi, Mohammad Abu Yousuf, Md. Zia Uddin:
Analysis of Different Modality of Data to Diagnose Parkinson's Disease Using Machine Learning and Deep Learning Approaches: A Review. - Umesh Kumar Lilhore, Sarita Simaiya, Musaed A. Alhussein, Surjeet Dalal, Khursheed Aurangzeb, Amir Hussain:
An Attention-Driven Hybrid Deep Neural Network for Enhanced Heart Disease Classification. - Sudeshna Das, Abhishek Majumder, Suyel Namasudra, Ashish Singh:
Intrusion Detection Using CTGAN and Lightweight Neural Network for Internet of Things. - Pyoung Won Kim:
Fog Computing for Artificial Intelligence Digital Textbooks: Educational Scaffolding and Security and Privacy Challenges. - Pantea Koochemeshkian, Nizar Bouguila:
Flexible Distribution Approaches to Enhance Regression and Deep Topic Modelling Techniques. - Karam Bou Chaaya, Richard Chbeir, Mahmoud Barhamgi, Philippe Arnould, Djamal Benslimane:
An Ontology for In-Depth Description of User Situations in Connected Environments. - Jesús Gil Ruiz, Hernán Díaz, Rubén González Crespo:
The Application of Artificial Intelligence Planning and Scheduling in Photovoltaic Plant Construction Projects. - Maowei He, Zhixue Wang, Hanning Chen, Yang Cao, Lianbo Ma:
Multi-Objective Evolutionary Algorithm Based on Decomposition With Orthogonal Experimental Design. - Mousumi Rizia, Julio A. Reyes-Munoz, Angel G. Ortega, Ahsan Choudhuri, Angel Flores-Abad:
Intelligent Crack Detection in Infrastructure Using Computer Vision at the Edge. - Yaqin Liu, Xi Chen, Mengya Zhang, Ke Li, Daniel Santos da Silva, Victor Hugo C. de Albuquerque:
An Evolutionary Game Study of Consumers' Low-Carbon Travel Behavior Under Carbon-Inclusive Policy. - Anupam Kumar, Faiyaz Ahmad, Bashir Alam:
Unveiling Lung Diseases in CT Scan Images With a Hybrid Bio-Inspired Mutated Spider-Monkey and Crow Search Algorithm. - Heewoong Lee, Deok Gyu Lee, Kihyo Nam, Mun-Kweon Jeong:
PC-Based User Continuous Authentication in the Artificial Intelligence Method and System Using the User's Finger Stroke Characteristics. - L. K. Pavithra, P. Subbulakshmi, Nirmala Paramanandham, S. Vimal, Norah Saleh Alghamdi, Gaurav Dhiman:
Enhanced Semantic Natural Scenery Retrieval System Through Novel Dominant Colour and Multi-Resolution Texture Feature Learning Model. - Pradip Dhal, Chandrashekhar Azad:
Zone Oriented Binary Multi-Objective Charged System Search Based Feature Selection Approach for Multi-Label Classification.
Survey Article
- Anjali Diwan, Reshma Sunil, Parita Mer, Rajesh Mahadeva, Shashikant P. Patole:
Advancements in Emotion Classification via Facial and Body Gesture Analysis: A Survey.
Original Article
- Husnain Mushtaq, Xiaoheng Deng, Ping Jinag, Shaohua Wan, Rawal Javed, Irshad Ullah:
Point Class-Adaptive Transformer (PCaT): A Novel Approach for Efficient Point Cloud Classification and Segmentation. - Priyanka Verma, Nitesh Bharot, John G. Breslin, Donna O'Shea, Anand Kumar Mishra, Ankit Vidyarthi, Deepak Gupta:
Leveraging Transfer Learning Domain Adaptation Model With Federated Learning to Revolutionise Healthcare. - Raseena M. Haris, Mahmoud Barhamgi, Ahmed Badawy, Armstrong Nhlabatsi, Khaled M. Khan:
Enhancing Security and Performance in Live VM Migration: A Machine Learning-Driven Framework With Selective Encryption for Enhanced Security and Performance in Cloud Computing Environments. - Mamadou Keita, Wassim Hamidouche, Hessen Bougueffa Eutamene, Abdelmalik Taleb-Ahmed, David Camacho, Abdenour Hadid:
Bi-LORA: A Vision-Language Approach for Synthetic Image Detection. - Álvaro Abad-Santjago, César Peláez-Rodríguez, Jorge Pérez-Aracil, Julia Sanz-Justo, Carlos Casanova-Mateo, Sancho Salcedo-Sanz:
Hybridizing Machine Learning Algorithms With Numerical Models for Accurate Wind Power Forecasting. - Yuguo Liang, Guisheng Fan, Huiqun Yu, Mingchen Li, Zijie Huang:
Automatic Code Summarization Using Abbreviation Expansion and Subword Segmentation. - Muhammad Hameed Siddiqi, Madallah Alruwaili, Yousef Alhwaiti, Saad Awadh Alanazi, Faheem Khan:
A Novel Hyper-Tuned Multilayer Perceptron With Effective Stochastic Learning Strategies for Missing Values Imputation. - Bei Tian, Gang Xiao, Yu Shen, Xingwei Jiang:
Optimal Task Allocation and Sequencing for Flight Test Based on a Memetic Algorithm With Lexicographic Optimisation. - Saeed Iqbal, Adnan N. Qureshi, Musaed A. Alhussein, Khursheed Aurangzeb, Muhammad Zubair, Amir Hussain:
A Novel Reciprocal Domain Adaptation Neural Network for Enhanced Diagnosis of Chronic Kidney Disease. - Noemí Merayo, Alba Ayuso-Lanchares, Clara González-Sanguino:
Machine Learning Algorithms to Address the Polarity and Stigma of Mental Health Disclosures on Instagram.
Review
- Fatima Shannaq, Mohammad Shehab, Areej Alshorman, Mahmoud Hammad, Bassam Hammo, Wala'a M. AlOmari:
Exploring Metaheuristic Optimization Algorithms in the Context of Textual Cyberharassment: A Systematic Review.
Retraction
- RETRACTION: SVM-based Generative Adverserial Networks for Federated Learning and Edge Computing Attack Model and Outpoising.
- RETRACTION: Challenges and Vulnerability Evaluation of Smart Cities in IoT Device Based on Cybersecurity Mechanism.
- RETRACTION: Auxiliary Cognition System-Based Management Strategy Optimization of Supply Chain of New Energy in Oil-Gas Enterprises.
- RETRACTION: Supply Chain Operation Evaluation and Management Decision by Fuzzy Cognitive Map Model.
- RETRACTION: Adoption of Blockchain + Internet of Things in Demand Forecasting of Farm Supply Chain.
- RETRACTION: The Design for Supply Chain Management of Intelligent Logistics System Using Cloud Computing and the Internet of Things.
- RETRACTION: The Genetic Algorithm and BP Neural Network in Financial Supply Chain Management Under Information Sharing.
- RETRACTION: Supply Chain Risk Management of Badminton Supplies Company Using Decision Tree Model Assisted by Fuzzy Comprehensive Evaluation.
- RETRACTION: The Risk Evaluation and Management of the Sports Service Supply Chain by Introducing Fuzzy Comprehensive Appraisal and Artificial Intelligence Technology.
- RETRACTION: Cyber Security for Federated Learning Environment Using AI Technique.
- RETRACTION: Elstm: An Improved Long Short-term Memory Network Language Model for Sequence Learning.
- RETRACTION: An Information Extraction Method Based on Improved Mixed Text Density Web Pages.
- RETRACTION: An Improved Differential Bond Energy Algorithm With Fuzzy Merging Method to Improve the Document Clustering for Information Mining.
- RETRACTION: The Construction of Enterprise's Financial Supply Chain Management Under Blockchain Technology.
This Article has been retracted
- (Withdrawn) RETRACTED: The construction of enterprise's financial supply chain management under blockchain technology.
Retraction
- RETRACTION: Measuring Systemic and Systematic Risk in the Financial Markets Using Artificial Intelligence.
- RETRACTION: The Analysis of Optimized Path Selection for Management Mode of Coastal Regional Circular Economy Based on Fuzzy Decision Algorithm.
- RETRACTION: Intelligent Cognitive Evaluation of Ice and Snow Sports Training by Fuzzy Comprehensive Evaluation from the Perspective of Supply Chain Management.
- RETRACTION: The Analysis of Green Advertisement Communication Strategy Based on Deep Factorization Machine Deep Learning Model Under Supply Chain Management.
- RETRACTION: The Evaluation of Enterprise Supply Chain Intelligent Manufacturing System for Agricultural Interconnection Data Based on Machine Learning.
- RETRACTION: The Design of Intelligent Fuzzy Cognitive System of Music Emotion by Product Supply Chain Management.
- RETRACTION: The Energy Storage and Optimal Dispatch Supply Chain for New Energy Grids Using Edge Computing and the Internet of Things.
- RETRACTION: DAE-GAN: An Autoencoder Based Adversarial Network for Gaussian Denoising.
This Article has been retracted
- (Withdrawn) RETRACTED: DAE-GAN: An autoencoder based adversarial network for Gaussian denoising.
Retraction
- RETRACTION: Data-driven Decision-making Model Based on Artificial Intelligence in Higher Education System of Colleges and Universities.
- RETRACTION: An Efficient Deep Learning-based Video Captioning Framework Using Multi-modal Features.
This Article has been retracted
- (Withdrawn) RETRACTED: An efficient deep learning-based video captioning framework using multi-modal features.
Retraction
- RETRACTION: Diagnosis of Depression Level Using Multimodal Approaches Using Deep Learning Techniques with Multiple Selective Features.
- RETRACTION: Using Electroencephalogram Classification in a Convolutional Neural Network, Infer Privacy on Healthcare Internet of Things 5.0.
- RETRACTION: Model Innovation of Students' Mental Health Education from the Perspective of Big Data.
- RETRACTION: Segmentation and Classification of Lymphoblastic Leukaemia Using Quantum Neural Network.
This Article has been retracted
- (Withdrawn) RETRACTED: Segmentation and classification of lymphoblastic leukaemia using quantum neural network.
Volume 42, Number 3, March 2025
Original Article
- Omar del Tejo Catalá, Javier Perez, Nicolás García Sastre, Juan-Carlos Perez-Cortes, Javier Del Ser:
WoodAD: A New Dataset and a Comparison of Deep Learning Approaches for Wood Anomaly Detection. - Raúl Marticorena Sánchez, Antonio Canepa-Oneto, Carlos López Nozal, José Antonio Barbero-Aparicio:
Unveiling the Differences in Early Performance Prediction Between Online Social Sciences and STEM Courses Using Educational Data Mining.
Survey Article
- Qingyu Mao, Shuai Liu, Qilei Li, Gwanggil Jeon, Hyunbum Kim, David Camacho:
No-Reference Image Quality Assessment: Past, Present, and Future.
Original Article
- Soudabeh Mousavi, Mahdi Bahaghighat:
Phishing Website Detection: An In-Depth Investigation of Feature Selection and Deep Learning. - Eduardo Bayona, Jesús Enrique Sierra-García, Matilde Santos Peñas:
Improving Safety and Efficiency of Industrial Vehicles by Bio-Inspired Algorithms. - Shangzhe Li, Yingke Liu, Fanglei Cheng, Junran Wu, Ke Xu:
ChartNet: Reducing Subjectivity in Stock Prediction Through Unified Technical Chart Representation. - Sandeep Kumar Gautam, Vinayak Shrivastava, Sandeep S. Udmale:
Enhanced Electricity Forecasting for Smart Buildings Using a TCN-Bi-LSTM Deep Learning Model. - Joaquim Arlandis, Rafael Llobet, Jose Ramón Navarro-Cerdán, Laura Arnal, François Signol, Juan-Carlos Perez-Cortes:
Feature Identification Using Hypotheses of Relevance and a 2D-Cascade of SEQENS Ensembles. - Huyen Trang Phan, Dosam Hwang, Yeong-Seok Seo, Ngoc Thanh Nguyen:
Modelling Context and Content Features for Fake News Detection. - Adeel Munawar, Mongkut Piantanakulchai:
Machine Learning-Driven Passenger Demand Forecasting for Autonomous Taxi Transportation Systems in Smart Cities. - Manuel J. Gomez, Álvaro Armada Sánchez, Mariano Albaladejo-González, Félix J. García Clemente, José A. Ruipérez-Valiente:
Utilising Explainable AI to Enhance Real-Time Student Performance Prediction in Educational Serious Games. - Jelke Wibbeke, Sebastian Rohjans, Andreas Rauh:
Quantification of Data Imbalance.
Review
- Pratibha Maurya, Arati Kushwaha, Om Prakash:
Medical Data Classification Using Genetic Programming: A Systematic Literature Review.
Original Article
- Xi Jin:
Improving Paragraph Similarity by Sentence Interaction With BERT. - Le Zou, Qiang Sun, Fengling Jiang, Zhize Wu, Lingma Sun, Xiaofeng Wang, Mandar Gogate, Kia Dashtipour, Amir Hussain:
A Novel Approach to Fire Detection With Enhanced Target Localisation and Recognition. - Samuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo:
Optimising Resource Use Through Low-Precision Feature Selection: A Performance Analysis of Logarithmic Division and Stochastic Rounding. - Rula A. Hamid, Idrees A. Zahid, Ahmed Shihab Albahri, Osamah Shihab Albahri, Abdullah Hussein Alamoodi, Laith Alzubaidi, Iman Mohamad Sharaf, Shahad Sabbar Joudar, Yuantong Gu, Z. T. Al-qaysi:
Fuzzy Decision-Making Framework for Evaluating Hybrid Detection Models of Trauma Patients. - Kerenalli Sudarshana, Vamsidhar Yendapalli:
UAM-Net: Robust Deepfake Detection Through Hybrid Attention Into Scalable Convolutional Network. - Siva Sai, Keya Arunakar, Vinay Chamola, Amir Hussain, Pranav Bisht, Sanjeev Kumar:
Generative AI for Finance: Applications, Case Studies and Challenges. - Enrique Bermejo Nievas, Antonio David Villegas, Javier Irurita, Sergio Damas, Oscar Cordón:
Interpretable Machine Learning for Age-at-Death Estimation From the Pubic Symphysis.
Volume 42, Number 4, April 2025
Original Article
- Yifei Wang, Ze Han, Xiangzheng Deng:
Water-Energy-Carbon Nexus Within the Urban Eco-Transformation of the Beijing-Tianjin-Hebei Region. - Wei Dai, Wanqiu Kong, Tao Shang, Jianhong Feng, Jiaji Wu, Tan Qu:
Guideline for Novel Fine-Grained Sentiment Annotation and Data Curation: A Case Study.
Volume 42, Number 5, May 2025
Original Article
- Wei Song, Qihao Zhang, Simon Fong, Tengyue Li:
Recommendation of Learning Resources for MOOCs Based on Historical Sequential Behaviours. - Amol Ghanshyam Bhatkar, Shashank Gupta, Priyansh Patel:
ST-IDS: Spatio-Temporal Feature-Based Multi-Tier Intrusion Detection System for Artificial Intelligence-Powered Connected Autonomous Vehicles. - Lyndainês Santos, Nícolas de Araújo Moreira, Robson Sampaio, Raizielle Lima, Francisco Carlos M. B. Oliveira:
Automatic Speech Recognition: Comparisons Between Convolutional Neural Networks, Hidden Markov Model and Hybrid Architecture. - Danyang Cao, ZiFeng Lin, Di Liu, Xiaoyuan Chai:
G-WVDTW: A Generalised Weighted Variance Dynamic Time Warping Algorithm for Subsequence Matching in Multivariate Time Series. - Seham Basabain, Ahmed Yassin Al-Dubai, Erik Cambria, Khalid Alomar, Amir Hussain:
Arabic Short-Text Dataset for Sentiment Analysis of Tourism and Leisure Events. - Wenwen Xiao, Xiangfeng Luo, Shaorong Xie:
SRAD: Autonomous Decision-Making Method for UAV Based on Safety Reinforcement Learning. - Ruonan Liu, Muhammad Ayoub, Junaid Abdul Wahid:
CancerFusionPrompt: A Novel Framework for Multimodal Cancer Subtype Classification Using Vision-Language Model.
Review
- Mert Melih Ozcelik, Ibrahim Kok, Suat Ozdemir:
A Survey on Internet of Medical Things (IoMT): Enabling Technologies, Security and Explainability Issues, Challenges, and Future Directions.
Original Article
- Muhammad Zohaib Nawaz, M. Saqib Nawaz, Philippe Fournier-Viger, Nazha Selmaoui-Folcher:
GRIMP: A Genetic Algorithm for Compression-Based Descriptive Pattern Mining.
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