Recent Trends in AI Enabled Technologies
Second International Conference, ThinkAI 2024, Hyderabad, India, December 27–28, 2024, Revised Selected Papers
Series: Communications in Computer and Information Science; 2322;
- Publisher's listprice EUR 117.69
-
48 811 Ft (46 487 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 20% (cc. 9 762 Ft off)
- Discounted price 39 049 Ft (37 190 Ft + 5% VAT)
Subcribe now and take benefit of a favourable price.
Subscribe
48 811 Ft
Availability
printed on demand
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Publisher Springer Nature Switzerland
- Date of Publication 15 July 2025
- Number of Volumes 1 pieces, Book
- ISBN 9783031920400
- Binding Paperback
- No. of pages227 pages
- Size 235x155 mm
- Language English
- Illustrations XIV, 227 p. 95 illus., 82 illus. in color. Illustrations, black & white 679
Categories
Long description:
"
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.
" MoreTable of Contents:
"
.- Advancements in Generative AI for Image Classification: Applications, Chal lenges, and Future Directions.
.- Points of Interest Reviews Summarization for YELP Dataset using Natural
Language 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: From
CNN to Hybrid Architectures.
.- Leveraging Artificial Intelligence for Real-Time Decision-Making in Emer gency Healthcare System.
.- Enhancing Mental Health Diagnostics with Advanced Machine Learning
Techniques: 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 Leveraging
Transfer 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 LSTM
and STANN Approaches.
.- Sentiment Analysis Techniques for Social Media and Customer Reviews.
.- Attention-Enhanced EfficientNet for Accurate Skin Cancer Diagnosis: A
Deep 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.
" More
