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ORCID22nd UKCI 2023: Birmingham, UK
- Nitin Naik, Paul Jenkins, Paul Grace, Longzhi Yang, Shaligram Prajapat
:
Advances in Computational Intelligence Systems - Contributions Presented at the 22nd UK Workshop on Computational Intelligence (UKCI 2023), September 6-8, 2023, Birmingham, UK. Advances in Intelligent Systems and Computing 1453, Springer 2024, ISBN 978-3-031-47507-8
Federated Learning
- Dishita Naik, Nitin Naik:
An Introduction to Federated Learning: Working, Types, Benefits and Limitations. 3-17 - Dishita Naik, Nitin Naik:
The Changing Landscape of Machine Learning: A Comparative Analysis of Centralized Machine Learning, Distributed Machine Learning and Federated Machine Learning. 18-28 - Mohammed Al-Refai, Ahmad AlZu'bi, Naba Bani Yaseen, Taymaa Obeidat:
Arabic Sentiment Analysis with Federated Deep Learning. 29-38
Neural Networks/Deep Learning
- Sebastian Gregory Dal Toé, Bernard Tiddeman, Neil Mac Parthaláin:
Towards Reinforcement Learning for Non-stationary Environments. 41-52 - Goodluck Oguzie, Anikó Ekárt, Luis J. Manso:
Predictive World Models for Social Navigation. 53-64 - Simi Issac Marakkaparambil, Reshma Rameshkumar, Manju Punnanilkunnathil Dinesh, Asra Aslam, Mohammad Samar Ansari:
FireNet-Micro: Compact Fire Detection Model with High Recall. 65-78 - Yi-Yu Lin, Xiao-Jun Zeng:
Reward-Guided Individualised Communication for Deep Reinforcement Learning in Multi-Agent Systems. 79-94 - Minoru Motoki, Heitaro Hirooka, Youta Murakami, Ryuji Waseda, Terumitsu Nishimuta:
An Evaluation of Handwriting Digit Recognition Using Multilayer SAM Spiking Neural Network. 95-102 - Yanting Liu, Fangyi Li:
Exploring the Linguistic Model to Operate on Architectural Façade Illumination Design. 103-113 - Bamikole Olaleye Akinsehinde, Changjing Shang, Qiang Shen:
Towards Accurate Rainfall Volume Prediction: An Initial Approach with Deep Learning, Advanced Feature Selection, Parameter Optimisation, and Ensemble Techniques for Time-Series Forecasting. 114-132 - Amal Htait, Lucia Busso, Tim D. Grant:
Hierarchies of Power: Identifying Expertise in Anonymous Online Interactions. 133-139 - Sanjay Dutta, Jay Burk, Roger Santer, Reyer Zwiggelaar, Tossapon Boongoen:
Noise Profiling for ANNs: A Bio-inspired Approach. 140-153
Machine Learning
- Jordan J. Bird, Chloe M. Barnes, Ahmad Lotfi:
AI Generated Art: Latent Diffusion-Based Style and Detection. 157-169 - Surya Kasturi, Alex Shenfield, Chris Roast, Danny Le Page, Alice Broome:
Object Detection in Heritage Archives Using a Human-in-Loop Concept. 170-181 - Yifan Xiao, Jing Dong, Qiang Zhang, Pengfei Yi, Rui Liu, Xiaopeng Wei:
Semi-supervised Semantic Segmentation with Complementary Reconfirmation Mechanism. 182-194 - Matthew Oyeleye, Tianhua Chen, Pan Su, Grigoris Antoniou:
Towards the Use of Machine Learning Classifiers for Human Activity Recognition Using Accelerometer and Heart Rate Data from ActiGraph. 195-208 - Ankit Limone, Mahak Gupta, Nitin Nagar, Shaligram Prajapat:
Effect of Financial News Headlines on Crypto Prices Using Sentiment Analysis. 209-219 - Mohammad Usmaan Ali, Raluca Lefticaru:
Detection of Cyberbullying on Social Media Platforms Using Machine Learning. 220-233 - Shraddha Bhurre, Shaligram Prajapat:
Analyzing Supervised Learning Models for Predicting Student Dropout and Success in Higher Education. 234-248 - Hiral Arora, Ambikesh Jayal, Edmond Prakash:
An Exploratory Ukraine Rising Commodities Price Analysis: Towards a Resilient Food System. 249-258 - Kanokphon Kane, Khwunta Kirimasthong, Tossapon Boongoen:
Available Website Names Classification Using Naïve Baye. 259-269
Evolutionary Computation
- Luigi D'Arco, Haiying Wang, Huiru Zheng:
U2FSM: Unsupervised Square Finite State Machine for Gait Events Estimation from Instrumented Insoles. 273-285 - James Ronald Msonda, Zhimin He, Chuan Lu:
Graph Attention Based Spatial Temporal Network for EEG Signal Representation. 286-298 - Jörg Bremer, Sebastian Lehnhoff:
Hybridizing Lévy Flights and Cartesian Genetic Programming for Learning Swarm-Based Optimization. 299-310 - Darren M. Chitty:
Strategies to Apply Genetic Programming Directly to the Traveling Salesman Problem. 311-324 - Kamlesh Chandravanshi, Gaurav Soni, Durgesh Kumar Mishra:
A Method for Load Balancing and Energy Optimization in Cloud Computing Virtual Machine Scheduling. 325-335 - Khaled Alrajhi:
A Dynamic Hyper Heuristic Approach for Solving the Static Frequency Assignment Problem. 336-347
Cybersecurity
- Nitin Naik, Paul Jenkins, Paul Grace, Shaligram Prajapat, Dishita Naik, Jingping Song, Jian Xu, Ricardo M. Czekster:
Cyberattack Analysis Utilising Attack Tree with Weighted Mean Probability and Risk of Attack. 351-363 - Nitin Naik, Paul Jenkins, Paul Grace, Dishita Naik, Shaligram Prajapat, Jingping Song, Jian Xu, Ricardo M. Czekster:
Analysing Cyberattacks Using Attack Tree and Fuzzy Rules. 364-378 - Ahmad AlZu'bi, Abdelrahman Abuarqoub, Mohammad Abdullah, Rami Abu Agolah, Moayyad Al Ajlouni:
Malware Prediction Using Tabular Deep Learning Models. 379-389 - Adi El-Dalahmeh, Jie Li, Ghaith El-Dalahmeh, Mohammad Abdur Razzaque, Yao Tan, Victor Chang:
An Intrusion Detection System Using the XGBoost Algorithm for SDVN. 390-402 - Vibhushinie Bentotahewa, Shadan Khan Khattak, Chaminda Hewage, Sandeep Singh Sengar, Paul Jenkins:
Privacy and Security Landscape of Metaverse. 403-417 - Korrawit Santithanmanan, Khwunta Kirimasthong, Tossapon Boongoen:
Machine Learning Based XSS Attacks Detection Method. 418-429
Image Processing
- Bernard Tiddeman, Will Robinson:
Pre-image Calculation for Random Fourier Feature Kernel Machines. 433-444 - Flavio Dipietrangelo, Francesco Nicassio, Gennaro Scarselli:
Impact Characterization on Reinforced Aerospace Structures via Machine Learning. 445-458 - Terry Cortez, Tossapon Boongoen, Natthakan Iam-On, Khwunta Kirimasthong, James Mullaney:
Image-Based Transient Detection Algorithm for Gravitational-Wave Optical Transient Observer (GOTO) Sky Survey. 459-470 - Shruti Khandelwal, Shaligram Prajapat:
Investigation of Efficient Approaches and Applications for Image Classification Through Deep Learning. 471-487
Healhcare Informatics
- Ifrah Andleeb, Bilal Zahid Hussain, Salik Ansari, Mohammad Samar Ansari, Nadia Kanwal, Asra Aslam:
Deep Learning Based Lightweight Model for Brain Tumor Classification and Segmentation. 491-503 - Meryem Sahin Erdogan, Esra Sümer, Federico Villagra, Esin Öztürk-Isik, Otar Akanyeti, Hale Saybasili:
Clinical Outcome Prediction Pipeline for Ischemic Stroke Patients Using Radiomics Features and Machine Learning. 504-515 - Ezekiel Allison:
Binary Classification of Medical Images by Symbolic Regression. 516-527 - Olatunji Azeez, Raluca Lefticaru:
Tumour Detection and Segmentation in MRI Scans of the Gut Area. 528-541
AI Applications
- Ishita Naik, Dishita Naik, Nitin Naik:
Artificial Intelligence (AI) Applications in Chemistry. 545-557 - Ishita Naik, Dishita Naik, Nitin Naik:
Demystifying the Working, Types, Benefits and Limitations of Chatbots. 558-566 - Enguerrand Boitel, Alaa Mohasseb, Ella Haig:
A Comparative Analysis of GPT-3 and BERT Models for Text-based Emotion Recognition: Performance, Efficiency, and Robustness. 567-579 - Christopher Carr, Peng Wang, Shengling Wang:
A Human-friendly Verbal Communication Platform for Multi-Robot Systems: Design and Principles. 580-594 - Mukesh Sakle, Shaligram Prajapat:
Exploring Community Detection Algorithms and Their Applications in Social Networks. 595-611 - Praveen Kumar Bhanodia, Aditya Khamparia, Shaligram Prajapat, Babita Pandey, Kamal Kumar Sethi:
Probability Approximation Based Link Prediction Method for Online Social Network. 612-624 - Alaa Aljamea, Xiao-Jun Zeng:
Predicting the Popularity of YouTube Videos: A Data-Driven Approach. 625-639 - Shraddha Bhurre, Sunny Raikwar, Shaligram Prajapat, Deepika Pathak:
Analyzing and Comparing Clustering Algorithms for Student Academic Data. 640-651 - Ambrish Srivastav, Shaligram Prajapat:
Investigation of Decision Support System for Indian Penal Code Section Using Similarity Algorithm and Fuzzy Logic. 652-667
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