Advances in Artificial Intelligence and Machine Learning in Big Data Processing : Second International Conference, AAIMB 2024, Chennai, India, December 12-13, 2024, Proceedings, Part II (Communications in Computer and Information Science)

Ramachandran, Geetha (EDT)/ Dao, Nhu-Ngoc (EDT)/ Jhanjhi, Noor Zaman (EDT)

Springer Nature Switzerland AG（2026/02発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 424 p.
• 言語 ENG
• 商品コード 9783032130280
• DDC分類 006.31

Description

This two-set volume CCIS 2653 and 2654 constitutes the refereed proceedings of the Second International Conference on Advances in Artificial Intelligence and Machine Learning in Big Data Processing, AAIMB 2024, held in Chennai, India, during December 12 13, 2024.

The 59 full papers included in this book were carefully reviewed and selected from 434 submissions. The papers are organized in the following topical sections:

Part I: artificial intelligence and data analytics; machine learning.

Part II: artificial intelligence and data analytics; deep learning.

.- ARTIFICIAL INTELLIGENCE & DATA ANALYTICS.

.- The Psychology of Video Resolution Choices of Counter-Strike Professional Players and its Impact on their Ratings.

.- A Simple Review of Artificial Intelligence and Machine Learning  Applications in Petroleum Engineering.

.- Improving Medicinal Plant Identification with Grayscale and Canny Edge Detection.

.- Real-Time Traffic Analytics and Control for City Street.

.- Image-Based Anthropometric Measurement System Using Pose Estimation.

.- SignLangTech: Transforming Sign Language into Real-Time Communication with CNNs.

.- Driving Towards Efficiency: Leveraging GCP Services for Data Analytics to Enhance Uber's Ride-sharing Experience and Operational Strategies.

.- Digital Footprints and Women s Protection: Crime and Harassment Metrics in Indian Urban Regions.

.- AI and Big Data Analytics in Healthcare: Current Applications and Future Trends.

.- QuiltCraft: A Computer Vision Framework for Sustainable Upcycling Waste Textiles into Artistic Quilts.

.- Automatic Fraud insurance claim detection system.

.- DEEP LEARNING.

.- Classification of Alzheimer's Disease through Deep Learn-ing Approaches with Contextual and Inter- Channel Fea-tures from Brain MRI.

.- Early Prediction of Alzheimer's Disease using Deep Learning Models.

.- Emotion Recognition in Text and Images Using Deep Learning.

.- Applying Inception-V3 for Skin Disease Classification: A Deep Learning Approach Using the ISIC

Dataset.

.- Real-Time Text Prediction and Speech Synthesis for Accessibility: A Bidirectional LSTM Approach.