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.

The financial landscape is rapidly evolving, and professionals must keep pace with the complex relationship between traditional financial practices and cutting-edge technologies. The integration of Artificial Intelligence (AI) and Machine Learning (ML) into finance presents a transformative shift that requires a deep understanding and strategic approach. Navigating the Future of Finance in the Age of AI offers a comprehensive exploration of AI's impact on the financial sector, from predictive analytics to algorithmic trading strategies. Each chapter is written by experts in the field, and they provide practical insights and real-world examples to make complex concepts accessible and actionable. The book also delves into regulatory challenges, ethical considerations, and case studies, equipping readers with the tools needed to harness AI's transformative power in finance. Whether you are a finance professional seeking to enhance decision-making, a data scientist aiming to apply ML techniques in finance, or an academic exploring AI's role in financial innovation, this book is an indispensable resource that offers a roadmap to navigate the complexities of AI-driven finance and seize the opportunities it presents.

Written specifically for the oil and gas industry, Reliable Maintenance Planning, Estimating, and Scheduling provides maintenance managers and engineers with the tools and techniques to create a manageable maintenance program that will save money and prevent costly facility shutdowns. The ABCs of work identification, planning, prioritization, scheduling, and execution are explained. The objective is to provide the capacity to identify, select and apply maintenance interventions that assure an effective maintenance management, while maximizing equipment performance, value creation and opportune and effective decision making. The book provides a pre- and post- self-assessment that will allow for measure competency improvement. Maintenance Managers and Engineers receive an expert guide for developing detailed actions including repairs, alterations, and preventative maintenance. - The nuts and bolts of the planning, estimating, and scheduling process for oil and gas facilities - Step-by-step maintenance guide will provide long-term, results-based operational services - Case studies based on the oil and gas industry

"This reference expands the field of database technologies through four-volumes of in-depth, advanced research articles from nearly 300 of the world's leading professionals"--Provided by publisher.

The management of quality and sustainability in higher education institutions ensures that proper standards are maintained. Such enforced standardization allows for the highest caliber of training opportunities for various fields and disciplines. The Handbook of Research on Quality Assurance and Value Management in Higher Education is an authoritative reference source for the latest scholarly research on quality management and assurance programs and standards in college-level environments. Highlighting global perspectives on academic and professional learning, this book is ideally designed for researchers, policy makers, practitioners, and professionals actively involved in the field of higher education.

'This book bridges disciplines, previously confined to specialist journal publications, by providing a comprehensive overview of the systems analysis application to water resources. It is ideal for Masters-level courses in Water Resources Engineering where modern management techniques of optimization and modelling are highly important in the strategic management of a vital resource.' - Derek Clarke, University of Southampton, UK 'The great novelty of this book is that it presents in detail how fuzzy-set theory can be used in water resource system management. The author was one of the pioneers who opened up this new field and is considered to be one of the greatest experts in it.' - Rodolfo Soncini Sessa, Politecnico di Milano, Italy Water resources management is increasingly interdisciplinary and must take into account complex socioeconomic factors and environmental variables. This book describes the 'systems approach' and its application to contemporary water resources management, focusing on three main sets of tools: simulation, optimization and multi-objective analysis. This approach is presented within the context of sustainable planning and development under conditions of uncertainty. Managing Water Resources: Methods and Tools for a Systems Approach introduces system dynamic simulation as a tool for integrated modelling and contains coverage of the use of fuzzy sets for incorporating objective and subjective uncertainties. The book combines theory with many practical examples, as well as including programs and exercises on downloadable resources. It comprises both an advanced text for students of water resources and civil or environmental engineering and a practical guide for professionals. Published jointly with UNESCO and International Hydrological Programme