This book includes selected papers presented in 3rd International Conference on Computational Intelligence, Data Science, and Cloud Computing (IEM-ICDC 2025), organized by the Department of Information Technology and Computer Science & Engineering, Institute of Engineering and Management, Kolkata, India, during April 11 12, 2025. It covers substantial new findings about AI and robotics, image processing and NLP, cloud computing and big data analytics as well as in cyber-security, blockchain and IoT, and various allied fields. The book serves as a reference resource for researchers and practitioners in academia and industry. …mehr
This book includes selected papers presented in 3rd International Conference on Computational Intelligence, Data Science, and Cloud Computing (IEM-ICDC 2025), organized by the Department of Information Technology and Computer Science & Engineering, Institute of Engineering and Management, Kolkata, India, during April 11 12, 2025. It covers substantial new findings about AI and robotics, image processing and NLP, cloud computing and big data analytics as well as in cyber-security, blockchain and IoT, and various allied fields. The book serves as a reference resource for researchers and practitioners in academia and industry.
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Inhaltsangabe
Part I: AI and Robotics.- Deep Convolutional Neural Networks for Accurate Crop Disease Classification.- Hybrid Deep Learning Strategies for Detection of Deforestation.- Enhanced Air Quality Index Forecasting Using Bidirectional LSTM Networks.- Scanner-Based Optical Density Measurement Using Stacked Ensemble Learning: A Cost-Effective Approach for Print Quality Control.- Endometrial and Ovarian Cancer Target Protein Detection Using Protein Interactions and Sequence.- Predicting Students MOOC Course Completion using Feature Selection and Ensemble Techniques.- Time Efficient Transfer Learning Approach for Waste Detection.- Integration of Virtual Lab to Enhance the Quality of Laboratory Experiments in E-Learning Domain.- Attribute-Value Prediction From E-Commerce Product Descriptions using Hi-BERT.- Student Engagement and Cheating Detection Using Transfer Learning.- etc.
Part I: AI and Robotics.- Deep Convolutional Neural Networks for Accurate Crop Disease Classification.- Hybrid Deep Learning Strategies for Detection of Deforestation.- Enhanced Air Quality Index Forecasting Using Bidirectional LSTM Networks.- Scanner-Based Optical Density Measurement Using Stacked Ensemble Learning: A Cost-Effective Approach for Print Quality Control.- Endometrial and Ovarian Cancer Target Protein Detection Using Protein Interactions and Sequence.- Predicting Students MOOC Course Completion using Feature Selection and Ensemble Techniques.- Time Efficient Transfer Learning Approach for Waste Detection.- Integration of Virtual Lab to Enhance the Quality of Laboratory Experiments in E-Learning Domain.- Attribute-Value Prediction From E-Commerce Product Descriptions using Hi-BERT.- Student Engagement and Cheating Detection Using Transfer Learning.- etc.
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