Innovations and Advances in Cognitive Systems
ICIACS 2025, Volume 1
Series: Information Systems Engineering and Management; 59;
- Publisher's listprice EUR 213.99
-
88 752 Ft (84 526 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. 17 750 Ft off)
- Discounted price 71 002 Ft (67 621 Ft + 5% VAT)
Subcribe now and take benefit of a favourable price.
Subscribe
88 752 Ft
Availability
Not yet published.
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 13 October 2025
- Number of Volumes 1 pieces, Book
- ISBN 9783031977084
- Binding Hardback
- No. of pages453 pages
- Size 235x155 mm
- Language English
- Illustrations XII, 453 p. 198 illus., 172 illus. in color. Illustrations, black & white 700
Categories
Long description:
This book presents a diverse set of research contributions across critical domains like healthcare, agriculture, cybersecurity, communication systems, and quantum computing. Ranging from transfer learning frameworks for rice classification and federated learning improvements to facial emotion recognition and quantum-enabled tourism analytics, the chapters offer an in-depth journey into practical, scalable, and cutting-edge applications of AI. Readers also finds state-of-the-art studies on Kalman filters for weather forecasting, power-aware hardware architectures, and the revolutionary potential of explainable AI in medical imaging.
This book presents deep insights into how cognitive systems are addressing real world problems and redefining the future of smart technology.
Table of Contents:
Evaluating Transfer Learning Models for Indian Rice Classification: The Impact of a Proposed Lightweight Deep Learning.- Defensive Classifier Methods: Feature Extraction and
Behavior Analysis for Prediction.- Enhancing Core Stability in Federated Learning through Optimal Client Selection.- Machine Learning based Ensemble Learning approach
for Malware Family Classification Using Visual File Representations.- Transformer Network Based Deep Learning Approach in Customised Dynamic Dietary Endorsements for Chronic Diseases.- Style Infusion: Leveraging Diffusion Process for Style Transfer.- Empowering Emotional Intelligence in Healthcare: ML-Based Facial and speech Emotion Recognition for
Patient-Centered Systems.- Confirming the need for hyperparameter tuning of Kalman Filter in Weather Forecasting.- Hierarchy for selection of power efficient data-path multiplier hardware for high performance applications.- Performance Improvement in Aperture-Coupled Rectangular DRAs Using Reflector for 5.5 GHz Wireless Communication.
