Artificial Intelligence in Workplace Health and Safety : Data-Driven Technologies, Tools and Techniques (Intelligent Data-driven Systems and Artificial Intelligence)

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Artificial Intelligence in Workplace Health and Safety : Data-Driven Technologies, Tools and Techniques (Intelligent Data-driven Systems and Artificial Intelligence)

Yazdi, Mohammad

ウェブストア価格 ¥20,977（本体¥19,070）
CRC Press（2024/10発売）
外貨定価 US$ 99.99
ポイント 190pt

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製本 Hardcover:ハードカバー版／ページ数 114 p.
言語 ENG
商品コード 9781032845395
DDC分類 658.382028563

Full Description

In today's dynamic workplace environment, ensuring the safety and well-being of employees has never been more critical. This book explores cutting-edge technologies intersecting with workplace safety to deliver effective and practical results.

Artificial Intelligence in Workplace Health and Safety: Data-Driven Technologies, Tools and Techniques offers a comprehensive roadmap for professionals, researchers, and practitioners in work health and safety (WHS), revolutionizing traditional approaches through the integration of data-driven methodologies and artificial intelligence. Covering the foundations and practical applications of data-driven WHS and historical perspectives to current regulatory frameworks, it investigates the key concepts of data collection, management, and integration. Through real-world case studies and examples, readers can discover how AI technologies such as machine learning, computer vision, and natural language processing are reshaping WHS practices, mitigating risks, and optimizing safety measures. The reader will learn applications of AI and data-driven methodologies in their workplace settings to improve safety. With its practical insights, real-world examples, and progressive approach, this title ensures that readers are not just prepared for the future of WHS but empowered to shape it for better.

This text is written for professionals and practitioners seeking to enhance workplace safety through innovative technologies. This extends to safety professionals, HR personnel and engineers across different sectors.

Contents

Preface

About the author

Chapter 1: The Transformation of Work Health and Safety Through Data-Driven Technologies and Innovation

Chapter 2: Optimizing Workplace Health and Safety: Strategic Data Collection and Management Techniques

Chapter 3: Strategic Analytics for Proactive Workplace Safety Management

Chapter 4: Advanced Integration of Artificial Intelligence in Workplace Health and Safety Management

Chapter 5: Navigating the Future: Technological Advancements and Implementation Challenges in Workplace Health and Safety

Index