Teaching News Literacy in the Age of AI

Cathy Collins

  • Format: Paperback
  • ISBN: 9798888370414
  • Publication Date: Oct 2024
  • Availability: Not Yet Available - Pre-Order Now

AI and IoT for Proactive Disaster Management

Mariyam Ouaissa

In our rapidly evolving digital landscape, the threat of natural disasters looms large, necessitating innovative solutions for effective disaster management. Integrating Artificial Intelligence (AI) and the Internet of Things (IoT) presents a transformative approach to addressing these challenges. However, despite the potential benefits, the field needs more comprehensive resources that explore the full extent of AI and IoT applications in disaster management. AI and IoT for Proactive Disaster Management fills that gap by examining how AI and IoT can revolutionize disaster preparedness, response, and recovery. It offers a deep dive into AI frameworks, IoT infrastructures, and the synergy of these technologies in predicting and managing natural disasters. Ideal for undergraduate and postgraduate students, academicians, research scholars, industry professionals, and technology enthusiasts, this book serves as a comprehensive guide to understanding the intersection of AI, IoT, and disaster management. By showcasing cutting-edge research and practical applications, this book equips readers with the knowledge and tools to harness AI and IoT for more efficient and effective disaster management strategies.

  • Format: Hardback
  • ISBN: 9798369338964
  • Publication Date: Jun 2024
  • Availability: Not Yet Available - Pre-Order Now

AI Techniques for Multimedia Data Processing

Ahmed A. Abd El-Latif

Embark on an exploration of the challenges posed by the convergence of artificial intelligence (AI) and multimedia data processing. In the landscape of technology, the relationship between AI and multimedia unfolds with unprecedented innovation, accompanied by formidable ethical concerns and data management complexities. As society immerses itself in the digital age, marked by a flood of multimedia content, the urgent need to grapple with these multifaceted issues becomes apparent. This transformative journey into the heart of contemporary technological challenges is guided by the insights within. The book, AI Techniques for Multimedia Data Processing , serves as an indispensable resource, unraveling the layers of complexity within the symbiotic relationship between AI and multimedia. Within the pages of AI Techniques for Multimedia Data Processing , readers will find a comprehensive exploration that goes beyond theoretical discussions, delving into the practical applications and implications of AI in multimedia processing. This transformative journey navigates the terrain where ethical concerns meet practical applications, providing a profound understanding of how AI reshapes our interaction with multimedia content. As the chapters unfold, addressing challenges from video compression and streaming to multimedia recognition, segmentation, and content classification, readers are equipped with the knowledge needed to responsibly harness the transformative potential of AI in the realm of multimedia data processing.

  • Format: Hardback
  • ISBN: 9798369329351
  • Publication Date: Jun 2024
  • Availability: Not Yet Available - Pre-Order Now

Navigating Innovative Technologies and Intelligent Systems in Modern Education

Madhulika Bhatia

In traditional educational settings, teachers often need help engaging students, adapting to diverse learning styles, and keeping pace with technological advancements, which can lead to disengagement, limited learning outcomes, and a lack of preparation for the demands of the modern world. Navigating Innovative Technologies and Intelligent Systems in Modern Education offers a transformative solution to these challenges. By exploring innovative strategies such as flipped learning, gamification, and personalized instruction, this book equips educators with the tools to create dynamic, student-centered learning environments. It emphasizes the importance of leveraging digital tools and resources to enhance teaching, assessment, and feedback, ensuring educators stay at the forefront of modern education. By implementing the strategies outlined in this book, educators can create inclusive, interactive classrooms that inspire, motivate, and empower students to reach their full potential.

  • Format: Hardback
  • ISBN: 9798369353707
  • Publication Date: Apr 2024
  • Availability: In Stock - Despatched Within 5 Working Days

Digital Twin Technology and AI Implementations in Future-Focused Businesses

Ponnusamy

In the modern and data-driven business landscape, organizations face an increasingly complex challenge: how to harness the power of Artificial Intelligence (AI) and digital twin technology to stay competitive and relevant. This challenge is exacerbated by the rapid evolution of these technologies and the urgent need for businesses to adapt. AI continues to advance in areas such as language comprehension, pattern recognition, decision-making, and experiential learning, while digital twins are transforming into electronic replicas of real-world entities. Consequently, businesses grapple with the complexities of navigating this transformative convergence. Digital Twin Technology and AI Implementations in Future-Focused Businesses addresses the pressing issue of how AI and digital twin technology are altering the very fabric of business operations. It delves into the profound implications for productivity, creativity, and decision-making in organizations across diverse industries. Staying ahead of the technical curve is crucial, and this book equips readers with the knowledge and insights needed to thrive in this evolving business landscape.

  • Format: Hardback
  • ISBN: 9798369318188
  • Publication Date: Apr 2024
  • Availability: In Stock - Despatched Within 5 Working Days

Uncertain Spatiotemporal Data Management for the Semantic Web

Bai

In the world of data management, one of the most formidable challenges faced by academic scholars is the effective handling of spatiotemporal data within the semantic web. As our world continues to change dynamically with time, nearly every aspect of our lives, from environmental monitoring to urban planning and beyond, is intrinsically linked to time and space. This synergy has given rise to an avalanche of spatiotemporal data, and the pressing question is how to manage, model, and query this voluminous information effectively. The existing approaches often fall short in addressing the intricacies and uncertainties that come with spatiotemporal data, leaving scholars struggling to unlock its full potential. Uncertain Spatiotemporal Data Management for the Semantic Web is the definitive solution to the challenges faced by academic scholars in the realm of spatiotemporal data. This book offers a visionary approach to an all-encompassing guide in modeling and querying spatiotemporal data using innovative technologies like XML and RDF. Through a meticulously crafted set of chapters, this book sheds light on the nuances of spatiotemporal data and also provides practical solutions that empower scholars to navigate the complexities of this domain effectively.

  • Format: Hardback
  • ISBN: 9781668491089
  • Publication Date: Mar 2024
  • Availability: In Stock - Despatched Within 5 Working Days

Chatbots and Text Generation

Jovan Pehcevski

  • Format: Hardback
  • ISBN: 9781774699195
  • Publication Date: Mar 2024
  • Availability: In Stock - Despatched Within 5-7 Working Days

Technological Advancements in Data Processing for Next Generation Intelligent Systems

Shanu Sharma

Technological Advancements in Data Processing for Next Generation Intelligent Systems presents an in-depth exploration of cutting-edge data processing technologies that drive the development of next-generation intelligent systems in the context of the digital transformation era. This comprehensive book delves into the role data plays as a critical asset for organizations across diverse industries, and how recent technological breakthroughs have unlocked unprecedented potential for handling vast data volumes and real-time analysis. The book begins by providing a thorough overview of novel technologies such as artificial intelligence (AI) or machine learning (ML), edge computing, federated learning, quantum computing, and more. These revolutionary technologies, when integrated with big data frameworks, in-memory computing, and AI/ML algorithms, have transformed data processing capabilities, enabling the creation of intelligent systems that fuel innovation, optimize operations, and deliver personalized experiences. The ultimate aim of this integration is to empower devices with the ability to make autonomous intelligent decisions, maximizing computing power. This book serves as a valuable resource for research scholars, academicians, and industry professionals working towards the future advancement of optimized intelligent systems and intelligent data processing approaches. The chapters encompass a wide range of topics, including architecture and frameworks for intelligent systems, applications in diverse domains, cloud-based solutions, quantum processing, federated learning, in-memory data processing, real-time stream processing, trustworthy AI for Internet of Things (IoT) sensory data, and more.

  • Format: Hardback
  • ISBN: 9798369309681
  • Publication Date: Mar 2024
  • Availability: In Stock - Despatched Within 5 Working Days

Emerging Perspectives in Systems Security Engineering, Data Science, and Artificial Intelligence

Maurice Dawson

The global society has continued down a path of more connected devices, resulting in an explosion of data and endless possibilities, such as the rise of artificial intelligence (AI). In turn, this has changed the threat landscape, and this must be secured differently and managed constructively. The use of data science and AI could allow for more secure networks and systems but, at the same time, be used to undermine these connected environments. Emerging Perspectives in Systems Security Engineering, Data Science, and Artificial Intelligence addresses emerging perspectives in systems security engineering, data science, and AI. Covering topics such as business resilience, IoT malware detection, and supply chain cyber security, this premier reference source is an excellent resource for computer scientists, security experts, IT managers, data scientists, students and educators of higher education, librarians, researchers, and academicians.

  • Format: Hardback
  • ISBN: 9781668463253
  • Publication Date: Mar 2024
  • Availability: Not Yet Available - Pre-Order Now

Industry Applications of Thrust Manufacturing

D. Satishkumar

In manufacturing, entrenched challenges like costly maintenance, operational inefficiencies, and product defects loom large, casting shadows over industry progress. Despite the promise of Industry 4.0 and the proliferation of data-driven technologies, many enterprises need help to effectively harness the transformative power of artificial intelligence (AI). The gap between AI's potential and its practical application persists, hindering manufacturing companies from achieving optimal efficiency, competitiveness, and sustainability. Industry Applications of Thrust Manufacturing: Convergence with Real-Time Data and AI is a groundbreaking book meticulously crafted to address the pressing needs of academic scholars and industry professionals. Offering a nuanced exploration of AI's role in revolutionizing manufacturing, this book serves as a beacon of clarity amidst the complexities of modern industrial landscapes. Whether seeking to optimize operational workflows, mitigate risks, or unlock untapped opportunities, this definitive guide offers invaluable insights and actionable strategies to propel manufacturing enterprises into a future of innovation, efficiency, and sustainable growth.

  • Format: Hardback
  • ISBN: 9798369342763
  • Publication Date: Mar 2024
  • Availability: Not Yet Available - Pre-Order Now

Handbook of Research on Integrating Machine Learning Into HPC-Based Simulations and Analytics

Belgacem Ben Youssef

Researchers are increasingly using machine learning (ML) models to analyze data and simulate complex systems and phenomena. Small-scale computing systems used for training, validation, and testing of these ML models are no longer sufficient for grand-challenge problems characterized by large volumes of data generated at a much higher rate than before, surpassing by far the computing capabilities currently available in many cyberinfrastructure platforms. By associating high-performance computing (HPC) with ML environments, scientists and engineers would be able to enhance not only the scalability but also the performance of their predictive ML models. The Handbook of Research on Integrating Machine Learning Into HPC-Based Simulations and Analytics presents recent research efforts in designing and using ML techniques on HPC systems and discusses some of the results achieved thus far by cutting-edge relevant contributions. Covering topics such as data analytics, deep learning, and networking, this major reference work is ideal for computer scientists, academicians, engineers, researchers, scholars, practitioners, librarians, instructors, and students.

  • Format: Hardback
  • ISBN: 9781668437957
  • Publication Date: Mar 2024
  • Availability: Not Yet Available - Pre-Order Now

Building a Security Program with SAP

Mark S. Ciminello

  • Format: Hardback
  • ISBN: 9781493225286
  • Publication Date: Mar 2024
  • Availability: Not Yet Available - Pre-Order Now

Emerging Advancements in AI and Big Data Technologies in Business and Society

Jingyuan Zhao

Today, the convergence of Artificial Intelligence (AI) and Big Data has revolutionized industries worldwide, driving business growth and reshaping societies. While these technologies have yielded remarkable benefits, many developing countries face challenges in harnessing their potential due to inadequate data collection and availability. Emerging Advancements in AI and Big Data Technologies in Business and Society delves into the profound impact of AI and Big Data on the digital landscape and their transformative influence on social, economic, and political spheres. With a historical overview of AI's evolution and its operational definition, this book explores interconnected subfields such as problem-solving, intelligent agents, natural language processing, computer vision, and machine learning. AI is hailed as the fourth industrial revolution and the widespread use of AI technologies prompts discussions about their applications, performances, and societal impact. This book serves as a comprehensive guide for academics, researchers, and students in universities and engineering schools. It also caters to policymakers, government officers, corporate leaders, technology directors, and managers seeking to understand the potential of AI and Big Data. Additionally, libraries and information centers catering to the needs of these professionals will find this book an essential resource.

  • Format: Hardback
  • ISBN: 9798369306833
  • Publication Date: Mar 2024
  • Availability: Not Yet Available - Pre-Order Now

Semantic Web Technologies and Applications in Artificial Intelligence of Things

Ortiz-Rodriguez

The confluence of Artificial Intelligence of Things (AIoT) and Semantic Web technologies is nothing short of revolutionary. The profound impact of this synergy extends far beyond the realms of industry, research, and society; it shapes the very fabric of our future. Semantic Web Technologies and Applications in Artificial Intelligence of Things is a meticulously crafted reference that not only acknowledges this significance but also serves as a guide for those navigating the complexities of Industry 4.0 and AIoT. This curated compendium of cutting-edge technologies acts as a veritable knowledge base for future developments. As academics, scholars, and industry professionals, the ideal audience of this book, will find meticulously curated content that caters to their diverse interests and expertise, covering topics ranging from smart agriculture, manufacturing, industry, health sciences, and government. Seasoned academics, students, and visionary industry leaders, will find this book to be an indispensable guide that paves the way for innovation and progress.

  • Format: Hardback
  • ISBN: 9798369314876
  • Publication Date: Mar 2024
  • Availability: Not Yet Available - Pre-Order Now

Generative AI Models

Jovan Pehcevski

  • Format: Hardback
  • ISBN: 9781774699201
  • Publication Date: Mar 2024
  • Availability: In Stock - Despatched Within 5-7 Working Days

Industrial Applications of Big Data, AI, and Blockchain

El Samad

Blockchain has become the cornerstone of technologies, supported by others including Big Data and Artificial Intelligence (AI). Originating from cryptocurrency, it transcends boundaries, finding resonance in finance, healthcare, e-governance, and beyond. While blockchain relies on a peer-to-peer approach, enabling nodes to collaborate without the shackles of a central authority, appropriate monitoring and updating of these technologies is a constant necessity. This is especially true for healthcare data systems, where data privacy and security concerns, especially with sensitive health information are paramount. Threads of automation in artificial intelligence (AI) weave through sectors such as business, finance, healthcare, marketing, and governance. Industrial Applications of Big Data, AI, and Blockchain delves into the pulsating realms of big data, AI, and blockchain. From natural language processing's eloquent interpretation of human language to the prowess of AI algorithms in predictive tasks, this book explores how AI enhances decision-making accuracy, catalyzing a paradigm shift in diverse industries. This book is ideal for researchers, business visionaries, tech enthusiasts, and curious minds eager to fathom the transformative potential of these technologies.

  • Format: Hardback
  • ISBN: 9798369310465
  • Publication Date: Feb 2024
  • Availability: In Stock - Despatched Within 5 Working Days

Strengthening Industrial Cybersecurity to Protect Business Intelligence

Saeed

In the digital transformation era, integrating business intelligence and data analytics has become critical for the growth and sustainability of industrial organizations. However, with this technological evolution comes the pressing need for robust cybersecurity measures to safeguard valuable business intelligence from security threats. Strengthening Industrial Cybersecurity to Protect Business Intelligence delves into the theoretical foundations and empirical studies surrounding the intersection of business intelligence and cybersecurity within various industrial domains. This book addresses the importance of cybersecurity controls in mitigating financial losses and reputational damage caused by cyber-attacks. The content spans a spectrum of topics, including advances in business intelligence, the role of artificial intelligence in various business applications, and the integration of intelligent systems across industry 5.0. Ideal for academics in information systems, cybersecurity, and organizational science, as well as government officials and organizations, this book serves as a vital resource for understanding the intricate relationship between business intelligence and cybersecurity. It is equally beneficial for students seeking insights into the security implications of digital transformation processes for achieving business continuity.

  • Format: Hardback
  • ISBN: 9798369308394
  • Publication Date: Feb 2024
  • Availability: In Stock - Despatched Within 5 Working Days

Cybersecurity for Modern Smart Grid Against Emerging Threats

Daisuke Mashima

The purpose of this monograph is to provide an up-to-date and comprehensive survey and tutorial on the cybersecurity aspect of smart grids. The monograph focuses on the sources of the cybersecurity issues, the taxonomy of threats, and the survey of various approaches to overcome or mitigate such threats.

  • Format: Paperback
  • ISBN: 9781638282945
  • Publication Date: Jan 2024
  • Availability: In Stock - Despatched Within 5 Working Days

UX Lifecycle

Clive Howard

  • Format: Paperback
  • ISBN: 9781501521522
  • Publication Date: Oct 2023
  • Availability: Temporarily out of stock: Usually despatched in 14-18 days

Enterprise Transformation to Artificial Intelligence and the Metaverse

William Kimmerly

  • Format: Paperback
  • ISBN: 9781501521904
  • Publication Date: Oct 2023
  • Availability: Temporarily out of stock: Usually despatched in 14-18 days