Swati Gupta – författare

Internet of things (IoT) is the connection and communication of physical objects (smart devices) over the internet. In this recent age, people’s daily lives are dependent on the internet through their smartphones, tablets, Smart TVs, micro-controllers, Smart Tags, computers, laptops, and cars to name a few. This book discusses different ways to create a better IoT network and/or IoT platforms to improve the efficiency and quality of these products and subsequently their users' lives. In addition, this book provides future research directions in energy, industry, and healthcare, and explores the different applications of IoT and its associated technologies. It provides an overview and explanation of the software architecture, middleware, data processing and data management as well as security, sensors, actuators and algorithms used to create a working IoT platform. The editors then go on to examine IoT networks and platforms as they relate to energy industry including, energy efficiency and management, intelligent energy management, smart energy through blockchain and energy-efficient/aware routing/scheduling challenges and issues. They then explore IoT as it applies to healthcare including biomedical image and signal analysis and disease prediction and diagnosis. Finally the editors examine the prospects and applications of IoT for industry through the concepts of smart industry, including architecture, blockchain, and Industry 4.0. This book is intended for senior undergraduate and graduate students, researchers and industry professionals working on IoT applications and infrastructure. Reviews IoT software architecture and middleware, data processing and management, security, privacy and reliability, architectures, protocols, technologies, algorithms, and smart objects, sensors, and actuators Explores IoT as it applies to energy, including energy efficiency and management, intelligent energy management, smart energy through blockchain and energy-efficient/aware routing/scheduling challenges and issues Examines IoT as it applies to healthcare including biomedical image and signal analysis, and disease prediction and diagnosis Examines IoT as it applies to smart industry including architecture, blockchain, and Industry 4.0 Discusses different ways to create a better IoT network or IoT platform

Internet of things (IoT) is the connection and communication of physical objects (smart devices) over the internet. In this recent age, people’s daily lives are dependent on the internet through their smartphones, tablets, Smart TVs, micro-controllers, Smart Tags, computers, laptops, and cars to name a few. This book discusses different ways to create a better IoT network and/or IoT platforms to improve the efficiency and quality of these products and subsequently their users' lives. In addition, this book provides future research directions in energy, industry, and healthcare, and explores the different applications of IoT and its associated technologies. It provides an overview and explanation of the software architecture, middleware, data processing and data management as well as security, sensors, actuators and algorithms used to create a working IoT platform. The editors then go on to examine IoT networks and platforms as they relate to energy industry including, energy efficiency and management, intelligent energy management, smart energy through blockchain and energy-efficient/aware routing/scheduling challenges and issues. They then explore IoT as it applies to healthcare including biomedical image and signal analysis and disease prediction and diagnosis. Finally the editors examine the prospects and applications of IoT for industry through the concepts of smart industry, including architecture, blockchain, and Industry 4.0. This book is intended for senior undergraduate and graduate students, researchers and industry professionals working on IoT applications and infrastructure. Reviews IoT software architecture and middleware, data processing and management, security, privacy and reliability, architectures, protocols, technologies, algorithms, and smart objects, sensors, and actuators Explores IoT as it applies to energy, including energy efficiency and management, intelligent energy management, smart energy through blockchain and energy-efficient/aware routing/scheduling challenges and issues Examines IoT as it applies to healthcare including biomedical image and signal analysis, and disease prediction and diagnosis Examines IoT as it applies to smart industry including architecture, blockchain, and Industry 4.0 Discusses different ways to create a better IoT network or IoT platform

In today’s rapidly evolving business landscape, the convergence of technology and finance is inevitable. This book discusses how artificial intelligence (AI), business intelligence (BI), and data‑driven decision‑making are transforming traditional business management practices and leading to unparalleled innovation and efficiency.Transforming Business Management with AI, BI, and Data‑Driven Decision-Making presents readers with valuable insights into how these fields connect. By covering practical uses and case studies that illustrate real‑world applications of AI and BI as decision‑making tools, this book makes complex theories more accessible and understandable. Readers will also find practical tips on leveraging AI and BI to enhance operational workflows, customer communication, and competitive positioning in today’s dynamic business landscape. Practical implementation steps and a framework for successfully applying AI and BI technologies are included, addressing common challenges organizations may face. Additionally, strategies for achieving data‑driven decision‑making at the highest level are also offered.By bridging the gap between theoretical concepts and practical data analysis issues, this book serves as a valuable resource for professionals in the business environment, industrial and manufacturing engineering, business analytics, and related fields.

The contemporary business landscape is characterized by data-driven decision-making, the automation of routine tasks, and the quest for efficiency. In this context, robo-advisors—employing advanced artificial intelligence and machine learning systems—are becoming increasingly prevalent within HR departments, ushering in a new era of HR management. This new volume, Robo-Advisors and Artificial Intelligence in Human Resources Management: Revolutionizing HR, provides a comprehensive analysis of the relationship between technology and the concept of HRM and their impact on the nature of work in the future, focusing on how AI and robo-advisors help businesses with strategies to enhance efficiency, introduce new methods, and make the best use of employees in the rapidly growing business environment of today.Presenting diverse viewpoints, insights, and case studies, the volume explains the concept of robo-advisors, or automation with the help of artificial intelligence, and offers an all-encompassing view of these technologies and how they can be effectively used in the HRM environment. This book delves into this transformative shift, shedding light on the profound changes that robo-advisors are bringing to the HR landscape and their implications for businesses, employees, and HR practitioners.Topics address using robo-advisors in human resources for smart and efficient hiring processes and for recruitment marketing, for augmenting employee quality of work-life and well-being, for evaluating job satisfaction in connection with gender diversity in leadership, for enhancing employee engagement and improving organizational performance, for analyzing shifting consumer purchase intentions, for enhancing wealth and investment management skills and financial literacy, and more.The volume provides a groundbreaking journey that offers insight into the potential and the challenges of integrating these innovative technologies into human resource management.

Indigenous communities globally struggle to preserve their cultural heritage amidst a modern landscape shaped by technological advancement and free market capitalism. In today's globalized economy, Indigenous knowledge intersects with domains like finance, artificial intelligence (AI), machine learning (ML), technology, consumer behavior, and the marketing industry.In Indigenous Empowerment through Human-Machine Interactions: The Challenges and Strategies from Business Lenses, an international group of scholars takes an interdisciplinary approach to deciphering the complexities that arise from the convergence of modern technology and traditional Indigenous knowledge. By integrating disciplines such as finance, technology, consumer behavior, and marketing within the context of Indigenous empowerment, this groundbreaking work pioneers new insights into how these elements can synergize for sustainable development.Indigenous Empowerment through Human-Machine Interactions serves as a bridge between academia, policymaking, and Indigenous leadership, offering a practical guide for policymakers and professionals seeking to engage with Indigenous communities in meaningful ways.

Environmental concerns are at the forefront of governments, NGOs, businesses and organizations around the world. Green management has prompted questions about existing management research traditions' profit-oriented structures emphasising the price of economic progress.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 chapters examine Green Finance, Green HRM, Green Supply Chain Management, Green Technology and Green Marketing and how they might be used to investigate the effects of Green Business, especially for managers and policymakers.Emerald Studies in Finance, Insurance, and Risk Management provides a platform for authors to explore, analyse and discuss current and new financial models and theories, and engage with innovative research on an international scale. Subjects of interest may include banking, accounting, auditing, compliance, sustainability, behaviour, management, and business economics.

The proposed book is envisioned for the nascent and entry-level researchers who are interested to work in the field of drug delivery and its applications specifically for macrophage targeting.

The proposed book is envisioned for the nascent and entry-level researchers who are interested to work in the field of drug delivery and its applications specifically for macrophage targeting.

color: #002060;">This book provides a structured roadmap for managers, researchers, and policymakers to navigate the evolving landscape, offering insights into brand perception, financial decision-making, corporate transparency, and governance.