Proceedings of International Conference on Innovations in Data Science : ICIDS 2024 (Lecture Notes in Networks and Systems)

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  • 予約

Proceedings of International Conference on Innovations in Data Science : ICIDS 2024 (Lecture Notes in Networks and Systems)

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  • 製本 Paperback:紙装版/ペーパーバック版／ページ数 534 p.
  • 言語 ENG
  • 商品コード 9789819663286

Full Description

This book contains best selected research papers presented at ICIDS 2024: International Conference on Innovations in Data Science. The conference will be held at Manipal University Jaipur, India during 28 - 29 November 2024. The book covers state-of-the-art as well as emerging topics pertaining to data science.

Contents

Chapter 1: Role of Machine Learning in Fake News Detection.-Chapter 2: Batch Verification in Cloud: A review and a Comparative Study.-Chapter 3: Deciphering Deception in Stock Market Manipulation through X Post Analysis using Natural Language Processing .-Chapter 4: Security in Wireless Sensor Networks: Architecture, Challenges and Countermeasures.-
Chapter 5: Microstructure Morphology Analysis for Strengthening Mechanism of AZ 61 Alloy Using Image Processing Technique.-
Chapter 6: Analysis of Liver Disease Diagnosis Using Machine Learning Techniques.-Chapter 7: A Review of Deep Learning Technology for Automatic Glaucoma Diagnosis .-Chapter 8: A Heart Diseases Prediction Model using Machine Learning Techniques.-Chapter 9: Developing Distributed AI Systems in Cyber Security Enhancement.-Chapter 10: A Novel Dataset and Hybrid Stemming Model for Code-Mixed Gujarati-English Texts: Leveraging Rule-Based and POS Tagging Approaches .-Chapter 11: A Privacy-Preserving Approach for Clustering and Maintaining Healthcare Data Using Federated Learning Algorithms.-Chapter 12: Enhanced Image Based Blended Malware Detection of 31 Distinct Malware Attacks Using a Modified Deep CNN Model.-Chapter 13: Spin Bias Analysis Detection on Text Publishing in Media Using Recurrent Neural Network and Polarity Analysis.-Chapter 14: A Hybrid Approach to Dynamic Vehicle Routing: Integrating Capsule Networks and Reinforcement Learning for Traffic Prediction and Optimization.-Chapter 15: Collaborative and Privacy Enhanced Medical Image Diagnosis using Transfer Federated Learning.-Chapter 16: Attention-Optimized Models for Early Detection of Neurological Aging .-Chapter 17: Deep-HTCNN Framework for Automated Cervical Cancer Classification Enhanced with Metaheuristic Approach.-Chapter 18: Supervised Learning and Deep Learning for Enhanced Precision and Advancements in Medical Image Segmentation: A Comprehensive Survey.-Chapter 19: Optimizing CNN and SVM for Alzheimer's Diagnosis: Insights from Feature Extraction Methods.