Intelligent Computing : Proceedings of the 2025 Computing Conference, Volume 4 / edited by Kohei Arai.

Format:

Book

Author/Creator:

Arai, Kohei.

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 1426

Language:

English

Subjects (All):

Computational intelligence.

Telecommunication.

Computational Intelligence.

Communications Engineering, Networks.

Local Subjects:

Computational Intelligence.

Communications Engineering, Networks.

Physical Description:

1 online resource (900 pages)

Edition:

1st ed. 2025.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2025.

Summary:

This book compiles a curated selection of insightful, rigorously researched, and state-of-the-art papers presented at the Computing Conference 2025, hosted in London, UK, on June 19–20, 2025. Drawing submissions from across the globe, the conference received 473 papers, each subjected to a stringent double-blind peer-review process. Of these, 169 papers were accepted for inclusion, reflecting exceptional scholarship and innovation across disciplines such as IoT, artificial intelligence, computing, data science, networking, data security, and privacy. Researchers, academics, and industry leaders converged to share pioneering ideas, transformative methodologies, and practical solutions to real-world challenges. By bridging academic theory and industrial application, the conference catalyzed opportunities for knowledge synthesis and interdisciplinary progress. The diverse contributions within this proceedings not only address contemporary technological issues but also anticipate future trends, offering frameworks for continued exploration. We trust this collection will serve as an indispensable reference for researchers, practitioners, and policymakers navigating the evolving landscapes of computing and digital innovation. As we reflect on the conference’s outcomes, we are confident that the insights and collaborations forged here will inspire sustained advancements in these critical fields. May the ideas within these pages spark further inquiry, drive technological evolution, and contribute meaningfully to solving the challenges of our interconnected world.

Contents:

Parsing Requirements for Automatic Prompting of Large Language Models for Requirements Validation

LLM Re-Ranker as a Tool for Enhancing Sequential Recommendations

The Role of ChatGPT in Advancement of Cardiovascular Medicine: Disease Diagnosis, Management and Future Directions

GPT-4o: The Cutting-Edge Advancement in Multimodal LLM

Sycophancy in Large Language Models: Causes and Mitigations

Deep Reinforcement Learning for Scheduling in a PCB Matrix Production System.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-031-92611-0

OCLC:

1544967084