Bargains! PROMOTIONS

Close Notification

Your cart does not contain any items

Advances in Information, Computing and Technology

Proceedings of the International Conference on Information, Computing and Technology (ICICT2025),...

Witold Pedrycz John Wang Jianqi Li

$564.95   $452.05

Paperback

Not in-store but you can order this
How long will it take?

QTY:

English
Springer Nature Switzerland AG
14 January 2026
This book delivers a practical, forward-looking guide to cutting-edge developments at the intersection of information science, computing, and technology, equipping readers to bridge theoretical advancements with real-world application. By prioritizing actionable insights over abstract theory, it addresses the gap between rapid tech evolution and the need for accessible, applicable knowledge for professionals and learners alike. Rather than organizing content by traditional subdisciplines, this book adopts an interdisciplinary, problem-centric approach This novelty ensures readers grasp how technologies interact to solve complex challenges, a perspective often missing in more siloed texts. Intended for a broad audience, it serves as a go-to resource for tech professionals seeking to update their skills, upper-level undergraduate/graduate students in related fields, and researchers needing a concise overview of cross-domain progress.
Edited by:   , ,
Imprint:   Springer Nature Switzerland AG
Country of Publication:   Switzerland
Dimensions:   Height: 235mm,  Width: 155mm, 
ISBN:   9783032119452
ISBN 10:   3032119456
Series:   Lecture Notes in Networks and Systems
Pages:   532
Publication Date:  
Audience:   College/higher education ,  Professional and scholarly ,  Further / Higher Education ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
Research on Quantum State Monitoring Model for Automated Business Processing Combined with Computerization.- Analysis of Snow Brush Hair Movement Trajectory Based on MATLAB Simulation.- Performance Evaluation of Advanced Machine Learning Algorithms for Surface Defect Detection.- Studies on Signal Processing and Visual Computing Applications of Deep Learning.

See Also