Data Science and Applications : Proceedings of ICDSA 2025, Volume 1 (Lecture Notes in Networks and Systems 1721) (2025. Approx. 500 p. 90 illus. 235 mm)

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Data Science and Applications : Proceedings of ICDSA 2025, Volume 1 (Lecture Notes in Networks and Systems 1721) (2025. Approx. 500 p. 90 illus. 235 mm)

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  • 製本 Paperback:紙装版/ペーパーバック版
  • 言語 ENG
  • 商品コード 9783032107527

Full Description

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.

Contents

Emerging Threats and Mitigation Strategies in Biometric Authentication Systems.- Predicting the Effectiveness of B2B Marketing Strategies using Deep Learning: A Multi-Target Regression and Classification Approach.- Machine Learning Based Feature Extraction and Stress Detection using Different Dataset.- IoT-based Smart Grid: Architecture, Security Challenges and Mitigations.- An IoT-Enabled Multi-Agent Framework for Real-Time Emergency Monitoring: A Context-Aware Approach.- CSRANet A Deep Supervised Residual Attention Model for Coronary Stenosis Detection.- Swin-SAINT: A Hybrid Transformer Framework for Multi-Modal Skin Cancer Detection using Structured Metadata and Dermoscopic Images.- Advanced Tuberculosis Detection and Treatment Optimization using Moth Search Algorithm with Stacked Decision Tree Structures.- IDCNN: Efficient Multi-Class Intrusion Detection on Imbalanced Data in Software Defined Network.- Personalized Drug Recommendation using ClinicalBERT-Augmented Graph Neural Networks.- Combatting Political Fake News: Detection & Prevention of Disinformation on Social Media with Generative AI.- Secure Anomaly Detection for Electric Vehicle Batteries: A Hybrid Federated Split Learning Approach.- Adaptive and Interactive Learning using LLMs and Machine Learning Models for English Mastery- Interactive English Mastery.- ARUNet6L: A Deep Learning Based Hybrid U-Net Model Integrated with Attention and Residual Connection for Optimizing Image Segmentation of Mitochondria.- Gesture Synthesis for Sign Language using Generative Adversarial Networks.

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