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Full Description
This book constitutes the refereed post-conference proceedings of the Fourth International Conference on Applied Intelligence and Informatics, AII 2024, held in London, United Kingdom, during December 18-20, 2024.
The 34 full papers included in these proceedings were carefully reviewed and selected from 118 submissions. They are organized in these topical sections as follows:Application of AI and Informatics in Pattern Recognition and Application of AI and Informatics in Network, Security,and Analytics.
Contents
.- Machine Learning Based Classification of Myopic Maculopathy.
.- Alzheimer's Detection using XAI in Capsule Network & Post Detection Management with Portable Solution.
.- Machine Learning-Based Optimization of FireDepartment Interventions in Ain, Doubs, and Yvelines in France.
.- Comparative Analysis of Machine Learning Algorithms for Breast Cancer Prediction Using PCA-Based Feature Reduction.
.- Deep Learning Approaches in EEG Analysis for Early Detection of Alzheimer's Disease and Mild Cognitive Impairment: A Mini Systematic Review.
.- New Heuristics for Dominating Tree Problem.
.- Semi-bidirectional RNNs: Making unidirectional RNNs as accurate as Bidirectional ones.
.- A Comprehensive Study of Rainfall Prediction in Australia through Hybrid Machine Learning and Deep Learning Techniques.
.- Feedforward Neural Network Assisted NILM Method Applied on Different Households and Appliance Groups with Selectable Balanced Data.
.- Emotion Classification In-Context in Spanish.
.- Multi-View Text Data Stream Clustering via Late Fusion.
.- GalaFormer: towards unraveling of galaxy morphology.
.- Explainable Boosting Machines for Lung Cancer Prediction and Explanation.
.- Light Weight Graph Neural Network Models for PPG Signal Quality Assessment.
.- Development of Machine Learning Models for EEG-Based Alzheimer's Diagnosis.
.- Electrocardiogram Signal Quality Assessment Using Deep Learning Model.
.- Autism Rehabilitation with Meltdown Prediction Using Facial Expression and Hand Gesture Detection.
.- Enhancing Alzheimer's Disease Detection: A Hybrid Approach with CNNs and Vision Transformers.
.- Multimodal Machine Learning for stress detection : A Revisit of Modality Selection.
.- Application of AI and Informatics in Pattern Recognition.
.- Utilising a novel multi-level multi-feature fusion approach to detect and diagnose Driver Fatigue in real-time.
.- A Deep Learning based Potato Leaf Disease Detection System.
.- Fijian ID Card Classification with Convolutional Neural Networks for Industrial Use.
.- Two-Stage Tuning and Bayesian Optimization for the edRVFL Network.
.- Shopping Recommendation Based on Profiling Customers Using Face Recognition and Association Rule Mining.
.- Two robust statistical methods for describing textures in noisy images.
.- Application of AI and Informatics in Network, Security and Analytics.
.- Harvesting Insights: Unraveling Olive Dynamics and Climate Fluctuations through Regression and SHapley Additive explanations.
.- Deep learning-based Image classification using segmented and superimposed leaf images.
.- Enhancing Temporal Scoping in Knowledge Bases: Neural Network Approaches for Time Interval Incorporation Using Wikidata.
.- Optimizing Lithium-ion Battery Recycling: Profits Unveiled through Explainable AI and Transportation Mode Analysis.
.- Autonomous Rearranging Evaluation of a Room Based on Color Region Ratio.
.- Development of a Machine Learning Classification Model for Improved Rainfall Prediction in Bangladesh.
.- Forecasting Traffic Congestion Using Air Pollution Data: A Case Study of Casablanca, Morcco.
.- A New Association Rule Mining Technique.
.- A Privacy-Preserving Federated Learning Protocol for Multilayer Perceptrons.
