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Green Management
Green Management brings together works by specialists from different disciplines and continents to reflect on the nexus between Green Management and its impact on businesses.
The Framework for Resilient Industry
The Framework for Resilient Industry examines the historical background, current status, and future opportunities and challenges of the Indian industry, delving into region-specific issues such as micro, small, and medium enterprises (MSMEs), economic policy, risk management and sustainable industries.
Novel Functional Magnetic Materials
This book presents current research on advanced magnetic materials and multifunctional composites. Recent advances in technology and engineering have resulted from the development of advanced magnetic materials with improved functional magnetic and magneto-transport properties. Certain industrial sectors, such as magnetic sensors, microelectronics, and security, demand cost-effective materials with reduced dimensionality and desirable magnetic properties such as enhanced magnetic softness, giant magnetic field sensitivity, and large magnetocaloric effect. Expert chapters present the most up-to-date information on the fabrication process, processing, tailoring of properties, and applications ...
Exploring ESG Challenges and Opportunities
The number of companies that are adopting sustainability strategies and disclosing information related to Environmental, Social and Corporate governance (ESG) issues is on the rise. This special volume encapsulates the transformative journey businesses undertake to balance profitability with responsibility.
Contemporary Studies of Risks in Emerging Technology
With the rapid development of technologies, it becomes increasingly important for us to remain up-to-date on new and emerging technologies. This series, therefore, aims to deliver content on current and future technologies and how the young generation benefits from this.
Deep Learning for Cognitive Computing Systems
Cognitive computing simulates human thought processes with self-learning algorithms that utilize data mining, pattern recognition, and natural language processing. The integration of deep learning improves the performance of Cognitive computing systems in many applications, helping in utilizing heterogeneous data sets and generating meaningful insights.
Contemporary Challenges in Social Science Management
Enriched and strengthened with European case studies of real-life situations providing a practical and industry insights, Part A and B collate experts in Economics, Finance, Public Policy, Human Resources, and Risk management, contributing on employability, labour markets, sustainability, and skills of the future from across the globe.
Artificial Intelligence and Evolutionary Algorithms in Engineering Systems
The book is a collection of high-quality peer-reviewed research papers presented in Proceedings of International Conference on Artificial Intelligence and Evolutionary Algorithms in Engineering Systems (ICAEES 2014) held at Noorul Islam Centre for Higher Education, Kumaracoil, India. These research papers provide the latest developments in the broad area of use of artificial intelligence and evolutionary algorithms in engineering systems. The book discusses wide variety of industrial, engineering and scientific applications of the emerging techniques. It presents invited papers from the inventors/originators of new applications and advanced technologies.
Enterprise Risk Management in Today’s World
Enterprise Risk Management in Today’s World examines enterprise risk management in its past, present and future, exploring the role that directors and leaders in organizations have in devising risk management strategies, analysing values such as trust, resilience, CSR and governance within organizations.
Index Medicus
Vols. for 1963- include as pt. 2 of the Jan. issue: Medical subject headings.
