Advances in Information, Computing and Technology: Proceedings of the International Conference on Information, Computing and Technology (ICICT2025), Volume 2
Author:   Witold Pedrycz ,  John Wang ,  Jianqi Li
Publisher:   Springer Nature Switzerland AG
ISBN:  

9783032119568


Pages:   530
Publication Date:   15 January 2026
Format:   Paperback
Availability:   Not yet available   Availability explained
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Advances in Information, Computing and Technology: Proceedings of the International Conference on Information, Computing and Technology (ICICT2025), Volume 2


Overview

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.

Full Product Details

Author:   Witold Pedrycz ,  John Wang ,  Jianqi Li
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032119568


ISBN 10:   3032119561
Pages:   530
Publication Date:   15 January 2026
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

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.

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