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ORCID21st UKCI 2022: Sheffield, UK
- George Panoutsos, Mahdi Mahfouf, Lyudmila S. Mihaylova:
Advances in Computational Intelligence Systems - Contributions Presented at the 21st UK Workshop on Computational Intelligence, UKCI 2022, September 7-9, 2022, Sheffield, UK. Advances in Intelligent Systems and Computing 1454, Springer 2024, ISBN 978-3-031-55567-1
Fuzzy Logic Systems
- Xiangxin Song, Guanli Yue, Neil Mac Parthaláin, Yanpeng Qu:
Mixture Kernel-Based Fuzzy-Rough Feature Selection. 3-12 - Yihui Tao, Mahdi Mahfouf:
Fuzzy Hidden Markov Chain Based Models for Time-Series Data. 13-23 - Trevor Martin:
No Explanation Without (Fuzzy) Representation. 24-36 - Richard Jensen, Neil Mac Parthaláin, Mehran Amiri, Jörg Cassens:
Noisy Instance Removal Using OWA-Based Fuzzy-Rough Sets. 37-48 - Philip Smith, Sarah Greenfield:
A Fuzzy Prescreening Tool to Assist in the Diagnosis of High Functioning Individuals on the Autism Spectrum Who Present with Mental Health Comorbidities. 49-60 - Atakan Sahin, Pilar Rey, George Panoutsos:
A Fuzzy Logic-Based Framework for Statistical Process Control in Additive Manufacturing. 61-72 - Jinle Lin, Changjing Shang, Qiang Shen:
Towards Dynamic Fuzzy Rule Interpolation with Harmony Search. 73-88 - Sam Fetherstonhaugh, John Martin, Tim Pearce, Neil Mac Parthaláin
, Otar Akanyeti:
Fuzzy Inference for Well Log Lithology Classification. 89-102
Machine Learning
- Yumna Zahid, Muhammad Atif Tahir, Jungong Han, Qiang Shen:
Laplacian Regularized Variational Few-Shot Learning for Image Classification. 105-116 - Shadi Al Amoudi, Xia Hong, Hong Wei:
Modified Probabilistic Neural Networks LBP Classification Based on Distance Measures in Probability Space. 117-128 - Ahsanullah Yunas Mahmoud:
Preliminary Introduction and Implementation of Novel Machine Learning Algorithm Utilising Pareto Principle: Classification of Small Biomedical Health-Related Datasets. 129-141 - Mona Alkhozae, Xiao-Jun Zeng:
Nonlinear Model Combination Approach to Decentralised and Privacy-Preserving Classification. 142-157 - Ahsanullah Yunas Mahmoud:
Classification of Imbalanced Immunotherapy and Health-Related Data Utilising Novel Machine Learning Experiments. 158-169 - Arshad Sher, David Langford, Federico Villagra, Otar Akanyeti:
Automatic Scoring of Chair Sit-to-Stand Test Using a Smartphone. 170-180 - Jackie Campbell, Anna Palczewska, Ayotomide Adeyeye, Osayande Omobude, Windi Marva, Claire Griffiths, Paul Gately, Dorothy Monekosso:
Weight Management Programme: Use of Machine Learning Approaches to Identify Client Outcomes. 181-191 - Christopher Todd, Anna Palczewska, Dan Weaving:
Injury Risk Prediction in Rugby League Players with Training Volume Data and Machine Learning. 192-203 - Meryem Sahin Erdogan, Esra Sümer, Federico Villagra, Esin Öztürk-Isik, Otar Akanyeti, Hale Saybasili:
Predicting Modified Rankin Scale Scores of Ischemic Stroke Patients Using Radiomics Features and Machine Learning. 204-213 - Thomas Sawczuk, Anna Palczewska, Ben Jones, Jan Palczewski:
Use of Kernel Density Estimation to Understand the Spatial Trends of Attacking Possessions in Rugby League. 214-225 - Chenyi Lyu, Xingchi Liu, Lyudmila Mihaylova:
Review of Recent Advances in Gaussian Process Regression Methods. 226-237 - Uneneibotejit Otokwala, Murshedul Arifeen, Andrei Petrovski:
A Comparative Study of Novelty Detection Models for Zero Day Intrusion Detection in Industrial Internet of Things. 238-249 - Abrar Al-Hindi, Mahdi Mahfouf, Jun Chen, Olusayo Obajemu:
An Artificial Neural Networks (ANN) Based System for Optimal Taxiing Navigation of a BOEING-747 Aircraft. 250-260 - Jake Street, Funminiyi Olajide:
Using Natural Language Processing and Machine Learning to Detect Online Grooming Attacks. 261-270 - Fatim Z. Habbab, Michael Kampouridis:
Machine Learning for Real Estate Time Series Prediction. 271-282 - Gadelhag Mohmed, Steven Grundy, Weituo Sun, Ahmad Lotfi, Chungui Lu:
Temperature Prediction in Chinese Solar Greenhouse Based on Artificial Neural Networks Using Environmental Factors. 283-293
Hybrid Methods and Network Systems
- Ken McGarry:
Graph Theoretic and Stochastic Block Models Integrated with Matrix Factorization for Community Detection. 297-311 - Omar Adalat, Muhammad Talal, Mohammed Adem Ali Cherif, Daniele Scrimieri:
Model-Based Generation of Manufacturing Process Plans Through Incremental Topology Formation. 312-323 - Nitin Naik, Paul Jenkins, Paul Grace:
Cyberattack Analysis Based on Attack Tree with Weighted Average Probability and Risk of Attack. 324-333 - Debinal Rajan, Shouyong Jiang, Dewei Yi, Wei Pang, George M. Coghill:
Enhanced Affinity Propagation Clustering on Heterogeneous Information Network. 334-346 - Omar Adalat, Daniele Scrimieri:
Efficient Finite Element Mesh Mapping Using Octree Indexing. 347-358
Deep Learning and Neural Networks
- William R. Jacobs, Sean R. Anderson:
Interpretable Deep Learning for System Identification Using Nonlinear Output Frequency Response Functions. 361-366 - Mazen Ossman, Yaxin Bi:
Electricity Demand Forecast with LSTMs. 367-379 - Rebeen Ali Hamad, Wai Lok Woo, Bo Wei, Longzhi Yang:
Overview of Human Activity Recognition Using Sensor Data. 380-391 - Bishnu Paudel, Reyer Zwiggelaar, Otar Akanyeti:
Snapshot Ensemble on Brain MRI Segmentation. 392-402 - Yunpeng Bai, Changjing Shang, Ying Li, Liang Shen, Xianwen Zeng, Qiang Shen:
Transport Object Detection in Street View Imagery Using Decomposed Convolutional Neural Networks. 403-414 - Muhammad Hussain, Tianhua Chen, Sofya Titarenko, Richard Hill, Hussain Al-Aqrabi:
Development of a Convolutional Neural Network Architecture for Production Based Photovoltaic Fault Detection. 415-426 - Jakub Pomykala, Francisco de Lemos, Isibor Kennedy Ihianle, David Ada Adama, Pedro Machado:
Deep Learning Approach for Classifying Trusses and Runners of Strawberries. 427-435 - Stefani Dimitrova, Emily Orchard, Bishnu Paudel, Sebastian McBride, Andrew Hemmings, Otar Akanyeti:
Automatic Horse Blink Detection Using Computer Vision and Deep Nets. 436-447
Optimisation and Search
- Anil Arpaci, Jun Chen, John H. Drake, Tim Glover:
Network Design Optimisation Using Two Population-Based Search Strategies. 451-462 - Christopher Carr, Peng Wang:
Fast-Spanning Ant Colony Optimisation for Mobile Robot Coverage Path Planning. 463-474 - Qiuyi Hong, Fanlin Meng:
Customized Multi-energy Pricing in Smart Grids: A Bilevel and Evolutionary Computation Approach. 475-488 - Darren M. Chitty, William B. Yates, Ed Keedwell:
Using Evolutionary Routing Optimisation to Transition to Electric Vehicle Fleets. 489-501 - Eva Christodoulaki, Michael Kampouridis:
Combining Technical and Sentiment Analysis Under a Genetic Programming Algorithm. 502-513 - Jinxin Wang, Longzhi Yang, Zhanwen Wu, Xiaolei Guo, Pingxiang Cao, Fei Chao:
Panel Furniture Production Scheduling with Limited Storage Spaces. 514-525 - Daniel Dimanov, Colin Singleton, Shahin Rostami, Emili Balaguer-Ballester:
RAMOSS - Resource Aware Multi-Objective Semantic Segmentation Through Neuroevolution. 526-538 - Rohit Venugopal, Longzhi Yang, Vicki Elsey, Mark J. Flynn, Joshua S. Jackman, Phillip G. Bell, Joe Kupusarevic, Paul D. Smith, James Nicholson:
Association Rule Mining for Occupational Wellbeing During COVID. 539-550 - Hesham Yusuf, Kai Yang, George Panoutsos:
Improving the Explainability of Multi-criteria Decision-Making Using Neutrosophic Logic. 551-562 - Kang Ji, Qian Zhang, Dingli Yu:
A Virtual Force-Based Strategy for Multi-robot Target Search. 563-575 - Chuhao Qin, Fethi Candan, Lyudmila Mihaylova, Evangelos Pournaras:
3, 2, 1, Drones Go! A Testbed to Take Off UAV Swarm Intelligence for Distributed Sensing. 576-587
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