Proceedings of Ninth International Conference on Information System Design and Intelligent Applications (ISDIA 2025), Volume 4 Herausgegeben:Bhateja, Vikrant; Biju, Soly Mathew; Udgata, Siba K.
Proceedings of Ninth International Conference on Information System Design and Intelligent Applications (ISDIA 2025), Volume 4 Herausgegeben:Bhateja, Vikrant; Biju, Soly Mathew; Udgata, Siba K.
This book presents a collection of high-quality, peer-reviewed research papers from 9th International Conference on Information System Design and Intelligent Applications (ISDIA 2025), held in Dubai, UAE, from January 3 4, 2025. It covers a wide range of topics in computer science and information technology, including data mining and data warehousing, high-performance computing, parallel and distributed computing, computational intelligence, soft computing, big data, cloud computing, grid computing, cognitive computing, and information security.
This book presents a collection of high-quality, peer-reviewed research papers from 9th International Conference on Information System Design and Intelligent Applications (ISDIA 2025), held in Dubai, UAE, from January 3 4, 2025. It covers a wide range of topics in computer science and information technology, including data mining and data warehousing, high-performance computing, parallel and distributed computing, computational intelligence, soft computing, big data, cloud computing, grid computing, cognitive computing, and information security.
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Inhaltsangabe
Enhancing Health Insurance Risk Management with Ensemble Machine Learning Models: A Comparative Study of Predictive Accuracy.- Automatic Arabic Inquiry Classification Using Machine Learning Model: A Case Study of the Directorate of Housing Sharjah.- Local and Global Feature Extraction Using Convolutional Autoencoders and Convolution Neural Networks for Diagnosing Milling Machine Faults.- Milling Machine Defect Identification Using Novel Defect-sensitive Scalograms and CNN.- AI-Driven Bankruptcy Prediction: A Comparative Study of Machine Learning and Deep Learning Techniques on SME Financial Data.- Unleashing the Power of GPT-3: Revolutionary Applications in Natural Language Processing.- Comparative Analysis of U-Net Variants for Semantic Segmentation of Shorelines Using High-Resolution UAV Imagery: A Case Study of Mauritius.- Generative AI Influence on Student Learning Outcomes: The Context of Lebanese University Students.- Ethical Implications of Black Box AI Models in High-Stakes Applications.- Generative AI-Driven or AI-Assisted Software Code Generation and the Decline of Community Knowledge Sharing: Challenges and Future Prospects.- AI-Driven Transfer Learning & LSTM Framework for Pandemic Forecasting.- Automating University Course Scheduling Using Genetic Algorithm.- Assessing the Efficacy of VGG16 with CNN in Non-Clinical ASD Prediction.
Enhancing Health Insurance Risk Management with Ensemble Machine Learning Models: A Comparative Study of Predictive Accuracy.- Automatic Arabic Inquiry Classification Using Machine Learning Model: A Case Study of the Directorate of Housing Sharjah.- Local and Global Feature Extraction Using Convolutional Autoencoders and Convolution Neural Networks for Diagnosing Milling Machine Faults.- Milling Machine Defect Identification Using Novel Defect-sensitive Scalograms and CNN.- AI-Driven Bankruptcy Prediction: A Comparative Study of Machine Learning and Deep Learning Techniques on SME Financial Data.- Unleashing the Power of GPT-3: Revolutionary Applications in Natural Language Processing.- Comparative Analysis of U-Net Variants for Semantic Segmentation of Shorelines Using High-Resolution UAV Imagery: A Case Study of Mauritius.- Generative AI Influence on Student Learning Outcomes: The Context of Lebanese University Students.- Ethical Implications of Black Box AI Models in High-Stakes Applications.- Generative AI-Driven or AI-Assisted Software Code Generation and the Decline of Community Knowledge Sharing: Challenges and Future Prospects.- AI-Driven Transfer Learning & LSTM Framework for Pandemic Forecasting.- Automating University Course Scheduling Using Genetic Algorithm.- Assessing the Efficacy of VGG16 with CNN in Non-Clinical ASD Prediction.
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