Recent Trends in AI Enabled Technologies

Second International Conference, ThinkAI 2024, Hyderabad, India, December 27–28, 2024, Revised Selected Papers

Häftad, Engelska, 2025

Av Gangamohan Paidi, Ashwini Kumar Varma, Sudarsana Reddy Kadiri, Tharun Kumar Reddy Bollu

1 849 kr

Beställningsvara. Skickas inom 5-8 vardagar

Fri frakt för medlemmar vid köp för minst 249 kr.

This book constitutes the refereed proceedings of the Second International Conference on Recent Trends in AI Enabled Technologies, ThinkAI 2024, which took place in Hyderabad, India, during December 27-28, 2024.The 18 full papers in this book were carefully reviewed and selected from 75 submissions. These papers focus on topics of AI enabled technologies, including machine learning, soft computing, and deep learning algorithms.

Produktinformation

Utgivningsdatum2025-07-15
Mått155 x 235 x 14 mm
Vikt376 g
FormatHäftad
SpråkEngelska
SerieCommunications in Computer and Information Science
Antal sidor227
FörlagSpringer International Publishing AG
ISBN9783031920400

Tillhör följande kategorier

.- Advancements in Generative AI for Image Classification: Applications, Chal lenges, and Future Directions..- Points of Interest Reviews Summarization for YELP Dataset using NaturalLanguage Processing..- Multi-Stream CNN for Salient Object Detection..- An Optimized Convolutional Neural Network for Accurate and Efficient De[1]tection of Spine Fractures in CT Scans..- A Systematic Review of Deep Learning Models for Intrusion Detection: FromCNN to Hybrid Architectures..- Leveraging Artificial Intelligence for Real-Time Decision-Making in Emer gency Healthcare System..- Enhancing Mental Health Diagnostics with Advanced Machine LearningTechniques: A Comparative Study..- Hybrid Machine Learning Approaches for Enhanced Insurance Fraud Detec tion..- EXPLAINABLE ARTIFICIAL INTELLIGENCE(XAI) IN CARDIAC DIS EASE : Using SHAP Technique..- Lightweight Deep Learning Framework for Efficient Breast Cancer Classifi[1]cation in Ultrasound Imaging..- Efficient Multi-Cancer Detection: A Unified CNN Approach LeveragingTransfer Learning and Depthwise Convolutions..- A Review and Potential Gaps in News Article Classification..- DEEP ENSEMBLE TRANSFER LEARNING FRAMEWORK FOR EN HANCED ENDOSCOPIC IMAGE CLASSIFICATION..- Impact of COVID-19 on Stock Market Prediction: A Study Using LSTMand STANN Approaches..- Sentiment Analysis Techniques for Social Media and Customer Reviews..- Attention-Enhanced EfficientNet for Accurate Skin Cancer Diagnosis: ADeep Learning Approach..- Enhancing Remaining Useful Life Prediction: A Comparative Study of Clas sical Machine Learning and Generative AI..- UrduDigitsCNN: Bridging the Gap in Numeral Recognition.