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Artificial Intelligence Learning Facilitators
Artificial Intelligence Learning Facilitators: Creating Smart Education Systems delves into the various AI-based techniques, such as machine learning and natural language processing, that can help in automating management tasks such as lecture preparation, students’ performance evaluation, and predictive performance assessment. It highlights the importance of AI in handling the increasing learning complexities. The book explores the use of AI-based virtual assistants and chatbots in enhancing teaching services for students and instructors. It also discusses the potential of AI in creating personalized and targeted learning experiences. The centerpiece of the book is a presentation of the learning and teaching system, AI Prof. DUX. The use cases cover such scenarios as: Question generation for quizzes and exams The development and implementation of lecture scheduling The lecture notes’ generator Examination platform Lecture video link generation Classroom chat platform Courses management The book is an exploration of the crucial role of AI as a game-changer in educational transformation. It emphasizes how AI can positively impact various aspects of smart education systems.
Intelligence in IoT-enabled Smart Cities
Smart Cities and intelligence are among the most significant topics in IoT. Intelligence in communication and infrastructure implementation is at the heart of this concept, and its development is a key issue in smart cities. This book addresses the challenges in realizing intelligence in smart cities and sensing platforms in the era of cloud computing and IoT, varying from cost and energy efficiency to availability and service quality. It focuses on both the design and implementation aspects of artificial intelligence approaches in smart cities and sensing applications that are enabled and supported by IoT paradigms, and mainly on data delivery approaches and their performability aspects.
Smart Applications and Sustainability in the AIoT Era
This book gathers recent research work on emerging Artificial Intelligence (AI) methods for processing and storing data generated by smart infrastructures. Smart infrastructures gather Terabytes of data nowadays with no need for traditional control. The data automatically uploads to the cloud computing platform. The cloud analyses the data and generates the required output in visualization, graph, and action. A remote access network can be constructed dependent on either low-elevation or high-altitude stages. When associated with satellite and earthly frameworks, these stages empower a far-reaching access network with worldwide inclusion and diverse administration provisioning. Data analytic...
Forthcoming Networks and Sustainability in the IoT Era
This book aims to provide a platform to the researchers and practitioners from both academia and industry to meet and share their experience and knowledge. Forthcoming Networks and Sustainability in the IoT Era (FoNeS-IoT), Volume 1 & 2, aims to bring together researchers and professionals to exchange ideas on the advancements in technology, application areas for advanced communication systems and development of new services, and facilitate a tremendous growth of new devices and smart things that need to be connected to the Internet through a variety of wireless technologies. Parallel to this, new capabilities such as pervasive sensing, multimedia sensing, machine learning, deep learning, un...
Computational Intelligence in Healthcare
Computational intelligence (CI) refers to the ability of computers to accomplish tasks that are normally completed by intelligent beings such as humans and animals. Artificial intelligent systems offer great improvement in healthcare systems by providing more intelligent and convenient solutions and services assisted by machine learning, wireless communications, data analytics, cognitive computing, and mobile computing. Modern health treatments are faced with the challenge of acquiring, analysing, and applying the large amount of knowledge necessary to solve complex problems. AI techniques are being effectively used in the field of healthcare systems by extracting the useful information from...
