Emerging Trends in Artificial Intelligence and Machine Learning : Select Proceedings of SPIN 2025, Volume 2 (Lecture Notes in Electrical Engineering)

Rai, J. K. (EDT)/ Valada, Abhinav (EDT)/ Dubey, Ashwani Kumar (EDT)

Springer Nature Switzerland AG（2025/10発売）

• 製本 Hardcover:ハードカバー版／ページ数 490 p.
• 言語 ENG
• 商品コード 9789819699704

Full Description

This volume comprises selected peer-reviewed proceedings of the 12th International Conference on Signal Processing and Integrated Networks (SPIN 2025). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in signal processing, IoT sensors, systems and technologies, cloud computing, wireless communication, and wireless sensor networks. This volume will provide a valuable resource for those in academia and industry.

Contents

Section 1: Foundations of AI and Machine Learning.- Analyzing the Performance of Classification Models and Sampling Techniques on Imbalanced Datasets.- TextPrep: Automating the Process of Text Data Pre-Processing by Leveraging Self-Supervised Learning.- Advancing Transfer Learning with GAP, Depth Constraints, and Average Depth Constraints for Diverse Datasets.- Knparaphraser: A Kannada Paraphrasing Model Based on Novel Data Augmentation Framework.- Section 2: AI for Health and Biomedical Research.- Accelerating DNA Sequence Alignment Using Optimized AI Techniques.- Drug Discovery for Mycobacterium Tuberculosis: A Synergistic Approach using QSAR and Machine Learning.- Analysis of Parkinson's Disease Detection using Machine Learning Algorithms.- Designing a Malaria Detection Scheme Using Convolutional Neural Network (CNN) and TensorFlow-Based Deep Learning Model.- A Machine Learning Approach for Anomaly Detection in COVID-19 PCR Test Results Using Isolation Forests.- Optimizing ICU Patient Management through Predictive Analysis.- Exploring Deep Learning Approaches for Sleep Apnea Detection.- etc.