Advances in Information, Computing and Technology: Proceedings of the International Conference on Information,...

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Witold Pedrycz John Wang

Advances in Information, Computing and Technology

Name: Advances in Information, Computing and Technology
Price: 452.05 AUD
Availability: OutOfStock
ISBN: 9783032119568

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

Witold Pedrycz, John Wang, Jianqi Li

$564.95 $452.05

Paperback

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English

Springer Nature Switzerland AG
18 February 2026

Databases; Artificial intelligence

Series: Lecture Notes in Networks and Systems

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: Witold Pedrycz, John Wang, Jianqi Li
Imprint: Springer Nature Switzerland AG
Country of Publication: Switzerland
Dimensions: Height: 235mm, Width: 155mm,
ISBN: 9783032119568
ISBN 10: 3032119561
Series: Lecture Notes in Networks and Systems
Pages: 530
Publication Date: 18 February 2026
Audience: College/higher education , Professional and scholarly , Further / Higher Education , Undergraduate
Format: Paperback
Publisher's Status: Active

Prediction and Analysis of the Trend of Economic Management Strategy of Tourism Industry by Neural Network Model.- Research on the Application of Big Data-Driven Multi-Agent Reinforcement Learning in Autonomous Driving Traffic Control.- Low-Carbon Green Indicator System for Transportation Logistics and Energy Efficiency Optimization Methods.