Rajest Suman (199 results)

hardcover. Condition: Very Good. Explainable AI Applications for Human Behavior Analysis This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.

hardcover. Condition: Very Good. This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.

Condition: New. In.

Condition: New.

Paperback. Condition: new. Paperback. With the rapid growth of e-commerce, business activities have shifted to web platforms, allowing users to browse products and read customer reviews to inform their purchases. Customer reviews significantly influence buying decisions, with users sharing experiences, ratings, and recommendations on products and services. However, fake reviews have become a challenges, as spammers may post misleading information that can deceive potential buyers. Detecting these fraudulent reviews is essential to maintaining trust in online platforms. E-Commerce, Marketing, and Consumer Behavior in the AI Era explores the complexities of fake review detection, covering recent research, detection methods, and challenges in maintaining authentic online review systems. It discusses technologies and best practices in understanding and combating fraudulent activities in the digital landscape. Covering topics such as brand trust, information technology, and workforce optimization, this book is an excellent resource for online platform operators, digital marketing and branding professionals, researchers, academicians, regulatory agencies, and more. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condition: New. In.

Condition: As New. Unread book in perfect condition.

Condition: New.

Paperback. Condition: new. Paperback. Public sector and workforce management are transforming as digital technology reshapes how governments operate and interact with citizens. The integration of digital tools, data analytics, and automation has the potential to streamline public services, improve decision-making, and enhance overall efficiency. However, it also presents challenges, such as the need for upskilling employees, managing remote or hybrid work environments, and addressing issues related to data security and privacy. As the workforce adapts to new technologies and roles, public sector organizations must find innovative ways to create a skilled, adaptable, and resilient workforce that can meet the demands of a changing digital landscape. Effective management strategies are key to ensuring the public sector remains responsive, inclusive, and capable of addressing the complex needs of society. Public Sector and Workforce Management in the Digital Age explores the integration of digital technology into the public sector and workforce management practices. It examines the usefulness of digital technology in creating positive work environments, securing data, and improving public services. This book covers topics such as human capital, job satisfaction, and sociology, and is a useful resource for engineers, business owners, policymakers, data scientists, academicians, and researchers. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condition: As New. Unread book in perfect condition.

Condition: New. In.

Condition: New. In.

Condition: New.

Condition: New.

Paperback. Condition: new. Paperback. The integration of artificial intelligence (AI) into health and human-centric systems reshapes the way care, well-being, and social services are delivered. By leveraging AI technologies like machine learning, natural language processing, and computer vision, these systems can better understand, predict, and respond to human needs with accuracy and personalization. From improving diagnostics and patient outcomes in healthcare to enhancing accessibility and support in public services, AI offers tools for creating more responsive, equitable systems. Its usage raises questions around ethics, privacy, and the preservation of human agency. Further research into the balance between technological advancement and human-centered care may reveal the fundamental values that define human-technology interaction. AI in Health and Human-Centric Systems explores the role of AI in enhancing health and human-centric systems through improved diagnostics, personalized care, and more responsive public services. It examines the opportunities and ethical challenges involved in integrating AI while maintaining trust, equity, and human dignity in technology-driven environments. This book covers topics such as machine learning, medical prediction, and neural networks, and is a useful resource for engineers, medical and healthcare professionals, business owners, academicians, researchers, and scientists. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: new. Paperback. With the rapid growth of e-commerce, business activities have shifted to web platforms, allowing users to browse products and read customer reviews to inform their purchases. Customer reviews significantly influence buying decisions, with users sharing experiences, ratings, and recommendations on products and services. However, fake reviews have become a challenges, as spammers may post misleading information that can deceive potential buyers. Detecting these fraudulent reviews is essential to maintaining trust in online platforms. E-Commerce, Marketing, and Consumer Behavior in the AI Era explores the complexities of fake review detection, covering recent research, detection methods, and challenges in maintaining authentic online review systems. It discusses technologies and best practices in understanding and combating fraudulent activities in the digital landscape. Covering topics such as brand trust, information technology, and workforce optimization, this book is an excellent resource for online platform operators, digital marketing and branding professionals, researchers, academicians, regulatory agencies, and more. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condition: new. Hardcover. With the rapid growth of e-commerce, business activities have shifted to web platforms, allowing users to browse products and read customer reviews to inform their purchases. Customer reviews significantly influence buying decisions, with users sharing experiences, ratings, and recommendations on products and services. However, fake reviews have become a challenges, as spammers may post misleading information that can deceive potential buyers. Detecting these fraudulent reviews is essential to maintaining trust in online platforms. E-Commerce, Marketing, and Consumer Behavior in the AI Era explores the complexities of fake review detection, covering recent research, detection methods, and challenges in maintaining authentic online review systems. It discusses technologies and best practices in understanding and combating fraudulent activities in the digital landscape. Covering topics such as brand trust, information technology, and workforce optimization, this book is an excellent resource for online platform operators, digital marketing and branding professionals, researchers, academicians, regulatory agencies, and more. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condition: New. In.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Condition: New. In.

Condition: New. In.

Condition: New.

Paperback. Condition: new. Paperback. The integration of machine learning, predictive analytics, and optimization techniques revolutionizes the understanding and management of complex systems. From supply chains and energy grids to healthcare and financial markets, these systems are characterized by dynamic interactions, uncertainty, and large data amounts. Machine learning enables insights into data patterns, analytics predict future behaviors, and optimization methods guide decision-making. When combined, these tools offer solutions for enhancing system performance, resilience, and adaptability. As complexity grows, their collaboration becomes vital for creating intelligent, responsive, and sustainable systems. Machine Learning, Predictive Analytics, and Optimization in Complex Systems examines the integration of intelligent technologies into system design and management, and data analysis. It explores strategies for data-informed decisions, intelligent technology utilization, and security optimization. This book covers topics such as computer engineering, smart ecosystems, and system design, and is a useful resource for computer engineers, data analysts, academicians, researchers, and scientists. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condition: New.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.