Advances in Artificial Intelligence and Machine Learning : Proceedings of ERCICAM 2024, Volume 2 (Lecture Notes in Electrical Engineering)

Shetty, N. R. (EDT)/ Patnaik, L. M. (EDT)/ Nagaraj, H. C. (EDT)

Springer Nature Switzerland AG（2025/05発売）

• 製本 Hardcover:ハードカバー版／ページ数 498 p.
• 言語 ENG
• 商品コード 9789819631049

Full Description

This book features papers from the International Conference on Emerging Research in Computing, Information, Communication, Artificial Intelligence, and Machine Learning (ERCICAM 2024). It serves as an interdisciplinary platform for researchers, professional engineers, scientists, educators, and technologists to discuss, debate, and promote advancements in research and technology within the evolving fields of computing, information, communication, and their applications. Topics covered include the Internet of Things (IoT), wireless communications, image and video processing, parallel and distributed computing, and smart grid applications, among others. The book explores these emerging research areas and acts as a valuable resource for both researchers and practicing engineers.

Contents

Chapter 1. Leverage Machine Learning To Infer Proof of the Nipah Influenza.- Chapter 2. Comparative Analysis of Seizure Prediction Methods.- Chapter 3. Enhancing Crop Yield through Rainfall Analysis using Machine Learning Techniques.- Chapter 4. Performance Evaluation Of Machine Learning Algorithms For Breast Cancer Detection In Women.- Chapter 5. Sarcasm Detection in Hindi Social Media Text using HindiBERT-LSTM and XGBoost Models.- Chapter 6. Enhancing Breast Cancer Prediction: A Comparative Analysis of CNN and Ensemble Models with Data Balancing Techniques.- Etc.