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Intelligent Techniques for Cyber-Physical Systems
Intelligent Techniques for Cyber-Physical Systems covers challenges, opportunities, and open research directions for cyber-physical systems (CPS). It focuses on the design and development of machine learning and metaheuristics-enabled methods as well as blockchain for various challenges like security, resource management, computation offloading, trust management, and others in edge, fog, and cloud computing, Internet of Things (IoT), Internet of Everything (IoE), and smart cities. It also includes the design and analysis of deep learning-based models, sensing technologies, metaheuristics, and blockchain for complex real-life systems for CPS. Offers perspectives on the research directions in ...
Enhancing Performance, Efficiency, and Security Through Complex Systems Control
Academic scholars and professionals in engineering strive to enhance the performance, efficiency, and security of complex systems, but accessing comprehensive resources for these challenges can be daunting. Enhancing Performance, Efficiency, and Security Through Complex Systems Control offers an ideal solution. Edited by esteemed academics Idriss Chana, Aziz Bouazi, and Hussain Ben-Azza, this book presents a curated collection of scientific articles encompassing multidisciplinary themes like computer science, artificial intelligence, electrical engineering, and control systems. By consolidating cutting-edge research and methodologies, this book empowers scholars and professionals to improve ...
Omnichannel Approach to Co-Creating Customer Experiences Through Metaverse Platforms
Academia is grappling with a pressing challenge in the 21st century that mirrors the seismic shifts taking place in the business world. These two sides of one issue are both asking the same question; how can we seamlessly incorporate metaverse platforms into the complex web of omnichannel business models? Scholars and academics are confronted with the urgent need to understand and adapt to this new digital frontier. With the rise of metaverse technologies, the boundaries between physical and virtual realms are blurring, making it increasingly vital for scholars to bridge the gap between theory and practical application. This challenge not only touches on the fields of marketing, finance, HR,...
Teacher Education
This volume analyses how teaching internships that support teacher education programmes are conducted across the globe. Teaching internships are important learning experiences in teacher training programmes – a core experiential component that enables teachers-intraining to acquire skills in practical setups. The book takes readers through various aspects of teaching internships. Extending its application to both national and international teacher education programmes, to include teacher training in elementary, primary, secondary and higher secondary schools, the volume discusses various existing teaching internship models, important guidelines and best practices, assessment practices, typ...
Uncertain Spatiotemporal Data Management for the Semantic Web
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 it...
AI and Data Analytics Applications in Organizational Management
Within information sciences and organizational management, a pressing challenge emerges; How can we harness the transformative power of artificial intelligence (AI) and data analytics? As industries grapple with a deluge of data and the imperative to make informed decisions swiftly, the gap between data collection and actionable insights widens. Professionals in various sectors are in a race to unlock AI's full potential to drive operational efficiency, enhance decision-making, and gain a competitive edge. However, navigating this intricate terrain, laden with ethical considerations and interdisciplinary complexity, has proven to be a formidable undertaking. AI and Data Analytics Application...
Machine Learning Algorithms Using Scikit and TensorFlow Environments
Machine learning is able to solve real-time problems. It has several algorithms such as classification, clustering, and more. To learn these essential algorithms, we require tools like Scikit and TensorFlow. Machine Learning Algorithms Using Scikit and TensorFlow Environments assists researchers in learning and implementing these critical algorithms. Covering key topics such as classification, artificial neural networks, prediction, random forest, and regression analysis, this premier reference source is ideal for industry professionals, computer scientists, researchers, academicians, scholars, practitioners, instructors, and students.
Advancements, Applications, and Foundations of C++
Many undergraduate students in computer science, engineering, and related disciplines struggle to master the complexities of the C++ programming language. Existing textbooks often need more depth and breadth to provide a comprehensive understanding, leaving students with fragmented knowledge and hindering their ability to tackle real-world programming challenges effectively. Advancements, Applications, and Foundations of C++ is a compelling solution to this problem, offering a comprehensive and accessible approach to learning C++. With eight carefully structured chapters covering fundamental and advanced topics, the book provides a scaffolded learning experience that guides students from basic concepts to more complex programming techniques. This book’s target audience includes undergraduate students, professionals seeking to improve their programming skills, and educators teaching programming courses. By offering a thorough and well-rounded education in C++, this textbook aims to empower students to succeed in their programming endeavors and contribute meaningfully to the field.
