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Proceedings of International Conference on Innovations in Data Science : ICIDS 2024 / edited by Mohammad Shorif Uddin, Dharm Singh, Thittaporn Ganokratanaa, Gaurav Kumawat.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online
View online- Format:
- Book
- Author/Creator:
- Uddin, Mohammad Shorif.
- Series:
- Lecture Notes in Networks and Systems, 2367-3389 ; 1367
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Artificial intelligence.
- Artificial intelligence--Data processing.
- Medical informatics.
- Computational Intelligence.
- Artificial Intelligence.
- Data Science.
- Health Informatics.
- Local Subjects:
- Computational Intelligence.
- Artificial Intelligence.
- Data Science.
- Health Informatics.
- Physical Description:
- 1 online resource (761 pages)
- Edition:
- 1st ed. 2026.
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2026.
- Summary:
- 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.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 981-9663-29-6
- 9789819663293
- OCLC:
- 1572181786
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