Data Science and Applications

This book gathers outstanding papers presented at the 6th International Conference on Data Science and Applications (ICDSA 2025), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from 16 to 18 July 2025. The book is divided into eight volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.

Leveraging NLP features for Multi-Class Protein Sequence Classification using Machine Learning and Deep Learning Models. - Improving Secure Multi-Party Computation and Blockchain-Enhanced Data Sharing for Financial Services in Mobile Cloud Environments. - AI Enabled IoT-Based Crop Protection System With AI-Driven Animal Detection and Water Management. - Adaptive Honeypot Framework for Organizational Threat Detection with AWS Integration. - An Efficient Location Determination for Mobile Sensor Nodes using Hybrid DA-FA Optimization Technique. - Image Restoration via Atmospheric Scattering Models and Deep Learning Techniques. - Enhancing Legal Text Classification in the Indian Judiciary using Transformer Models and Legal-BERT. - Enhanced Detection of Diabetic Retinopathy Severity using the NASNetLarge Model. - Hybrid Generative AI Framework for Multilingual Text Summarization in Indian Languages. - Hybrid Quantum and Deep Learning Classifiers for Voice Disorder Identification. - Low-Complexity Asymmetric Image Encryption via Gyrator Fresnel Transforms and Digital Holography. - FedCarbonNet - An AI-Blockchain-IoT Framework for Carbon Footprint Management and Optimization. - Federated Learning Approach for Addressing Ethical Issues in AI. - H-ADNET: Aerial Image Based Scene Identification with Hyper Parameter Optimization in Deep Convolutional Networks. - Foundational Framework for Integrated Detection of Cardiovascular and Lung Diseases Using Multimodal Deep Learning.