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ORCIDConnection Science, Volume 37
Volume 37, Number 1, 2025
- Zhongwei Hua, Yong Ren, Yulu Wang, Zhuriyao Jin:
Human body contour extraction method based on human skeleton key point guidance. - Mengtong Li:
Investigating robustness dynamics of shallow machine learning techniques: beyond basic natural variations in image classification. - Cho Do Xuan, Tran Thi Luong, Ma Cong Thanh:
Optimising source code vulnerability detection using deep learning and deep graph network. - Mohammed Osman Gani
, Ramesh Kumar Ayyasamy, Saadat M. Alhashmi, Khondaker Sajid Alam, Anbuselvan Sangodiah, Khondaker Khaleduzzman, Ponnusamy Chinnasamy:
Towards enhanced assessment question classification: a study using machine learning, deep learning, and generative AI. - Tshewang Phuntsho, Tad Gonsalves:
Selecting hybrids of metaheuristics for resource-constraint project scheduling problems with discounted cashflows. - M. Leela, K. Helenprabha:
Incremental learning based two-level multimodal data fusion model for Alzheimer disease prediction on different data modalities. - Jitendra Kumar Chauhan, Tanveer Ahmed, Amit Sinha:
A novel deep learning model for stock market prediction using a sentiment analysis system from authoritative financial website's data. - Maryam Alotaibi, Yakoub Bazi, Mohamad Mahmoud Al Rahhal, Nassim Ammour, Mansour Zuair:
Classification of heart sound signals with Whisper model. - Wei Yu, Cheng Liu, Lvlin Ni, Yu Shi, Qingbing Ji:
Password region attribute classification based on multi-granularity cascade fusion. - Alessandro Crivellari, Yuhui Shi:
Generative adversarial deep learning model for producing location-based synthetic trajectory data. - Kunal Anand, Ajay Kumar Jena, Himansu Das, Sameh S. Askar, Mohamed Abouhawwash:
Software defect prediction using wrapper-based dynamic arithmetic optimization for feature selection. - Jiaxing Hu, Zhibo Wang:
A novel CNN architecture for image restoration with implicit frequency selection. - Abhishek Jain, Rohit Raja, Manoj Kumar, Pawan Kumar Verma:
A novel classification of meditation techniques via optimised chi-squared 1D-CNN method based on complexity, continuity and connectivity features. - A. Sherly Alphonse, S. Abinaya, Nirvik Verma:
Improved data labelling method for news headlines classification in cloud environment. - Sajid Khan, Hao Peng, Abdul Haseeb, Sardar Usman:
Visual data security in healthcare and cloud applications using a novel 2D-HCFCM, polynomial chains and NLDSR. - Chen Zhang, Shaoqi Dong, Ziyun Song, Liming Liu, Jiaxu Ning, Bin Zhang, Changsheng Zhang:
A two-stage deep learning based method for diabetic retinopathy classification. - Ahmad B. A. Hassanat, Mohammad A. Al-Sarayreh, Ahmad S. Tarawneh, Mohammad Ali Abbadi, Khalid Almohammadi, Mansoor Alghamdi, Maha Alamri, Abdulkareem Alzahrani, Ghada Awad Altarawneh:
Deep learning computer vision system for estimating sheep age using teeth images. - Prem Purusottam Jena, Debahuti Mishra, Kaberi Das, Sashikala Mishra, Mandakini Priyadarshani Behera:
PSPNet EPO-SEB: a novel attention-enhanced hybrid model for accurate histopathological image segmentation. - Devi Munandar, Budi Nurani Ruchjana, Atje Setiawan Abdullah, Hilman Ferdinandus Pardede:
Ensuring unbiasedness: foundational insights into integrating GSTARIMA and DNN models for rainfall prediction. - Alexandra Vultureanu-Albisi, Costin Badica, Mirjana Ivanovic:
eXING-IoT conceptual framework for explainability integration in next generation-IoT. - Lia Cornelia Culda, Raluca Andreea Nerisanu, Marian Pompiliu Cristescu, Dumitru Alexandru Mara, Adela Bâra, Simona-Vasilica Oprea:
Comparative linguistic analysis framework of human-written vs. machine-generated text. - R. Deepika, Kalaipriyan Thirugnanasambandam, K. Muthunagai:
QIR: a novel quaternion-based image representation for reversible image steganography. - Bommala Silpa, Malaya Kumar Hota:
DSLWNet: a dual-stream lightweight deep learning network for the detection of Epileptic seizures using EEG signals. - Prabhat Kumar Sahu:
LPIF-based image enhancement and hybrid ensemble models for brain tumor detection.
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