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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.
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.
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Inhaltsangabe
.- 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.
.- 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.
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