Azidine Guezzaz – författare

Machine learning, Internet of Things (IoT) and data analytics are new and fresh technologies that are being increasingly adopted in the field of medicine. This book positions itself at the forefront of this movement, exploring the beneficial applications of these new technologies and how they are gradually creating a smart healthcare system.This book details the various ways in which machine learning, data analytics and IoT solutions are instrumental in disease prediction in smart healthcare. For example, wearable sensors further help doctors and healthcare managers to monitor patients remotely and collect their health parameters in real-time, which can then be used to create datasets to develop machine learning models that can aid in the prediction and detection of any susceptible disease. In this way, smart healthcare can provide novel solutions to traditional medical issues.This book is a useful overview for scientists, researchers, practitioners and academics specialising in the field of intelligent healthcare, as well as containing additional appeal as a reference book for undergraduate and graduate students

The Internet of Things (IoT) involves physical devices, cars, household appliances, and any other physical appliance equipped with sensors, software, and network connections to gather and communicate data. Nowadays, this technology is embedded in everything from simple smart devices, to wearable equipment, to complex industrial machinery and transportation infrastructures. On the other hand, IoT equipment has been designed without considering security issues. Consequently, there are many challenges in terms of protection against IoT threats, which can lead to distressing situations. In fact, unlike other technological solutions, there are few standards and guidelines governing the protection of IoT technology. Moreover, few users are aware of the risks associated with IoT systems.Hence, Blockchain and Machine Learning for IoT Security discusses various recent techniques and solutions related to IoT deployment, especially security and privacy. This book addresses a variety of subjects, including a comprehensive overview of the IoT, and covers in detail the security challenges at each layer by considering how both the architecture and underlying technologies are employed. As acknowledged experts in the field, the authors provide remediation solutions for impaired security, as well as mitigation methods, and offer both prevention and improvement suggestions.Key Features:Offers a unique perspective on IoT security by introducing Machine Learning and Blockchain solutionsPresents a well-rounded overview of the most recent advances in IoT security and privacyDiscusses practical solutions and real-world cases for IoT solutions in various areasProvides solutions for securing IoT against various threatsDiscusses Blockchain technology as a solution for IoTThis book is designed to provide all the necessary knowledge for young researchers, academics, and industry professionals who want to understand the advantages of artificial intelligence technology, machine learning, data analysis methodology, and Blockchain for securing IoT technologies.

The Internet of Things (IoT) involves physical devices, cars, household appliances, and any other physical appliance equipped with sensors, software, and network connections to gather and communicate data. Nowadays, this technology is embedded in everything from simple smart devices, to wearable equipment, to complex industrial machinery and transportation infrastructures. On the other hand, IoT equipment has been designed without considering security issues. Consequently, there are many challenges in terms of protection against IoT threats, which can lead to distressing situations. In fact, unlike other technological solutions, there are few standards and guidelines governing the protection of IoT technology. Moreover, few users are aware of the risks associated with IoT systems.Hence, Blockchain and Machine Learning for IoT Security discusses various recent techniques and solutions related to IoT deployment, especially security and privacy. This book addresses a variety of subjects, including a comprehensive overview of the IoT, and covers in detail the security challenges at each layer by considering how both the architecture and underlying technologies are employed. As acknowledged experts in the field, the authors provide remediation solutions for impaired security, as well as mitigation methods, and offer both prevention and improvement suggestions.Key Features:Offers a unique perspective on IoT security by introducing Machine Learning and Blockchain solutionsPresents a well-rounded overview of the most recent advances in IoT security and privacyDiscusses practical solutions and real-world cases for IoT solutions in various areasProvides solutions for securing IoT against various threatsDiscusses Blockchain technology as a solution for IoTThis book is designed to provide all the necessary knowledge for young researchers, academics, and industry professionals who want to understand the advantages of artificial intelligence technology, machine learning, data analysis methodology, and Blockchain for securing IoT technologies.

Machine learning, Internet of Things (IoT) and data analytics are new and fresh technologies that are being increasingly adopted in the field of medicine. This book positions itself at the forefront of this movement, exploring the beneficial applications of these new technologies and how they are gradually creating a smart healthcare system.This book details the various ways in which machine learning, data analytics and IoT solutions are instrumental in disease prediction in smart healthcare. For example, wearable sensors further help doctors and healthcare managers to monitor patients remotely and collect their health parameters in real-time, which can then be used to create datasets to develop machine learning models that can aid in the prediction and detection of any susceptible disease. In this way, smart healthcare can provide novel solutions to traditional medical issues.This book is a useful overview for scientists, researchers, practitioners and academics specialising in the field of intelligent healthcare, as well as containing additional appeal as a reference book for undergraduate and graduate students

In an era defined by unprecedented environmental challenges and technological breakthroughs, Smart Technologies for a Sustainable Environment stands as a visionary compendium of cutting-edge research and transformative solutions. This curated collection of insights explores how groundbreaking advancements are reshaping the landscape of sustainability, from renewable energy and precision agriculture to healthcare and smart urban systems.The journey through these compelling chapters unveils the potential of alkaline electrolyzers in green hydrogen production, and how the deployment of Internet of Things (IoT)-enabled systems is revolutionizing agriculture environmental control. The book explores the digital transformation of healthcare through case studies from Morocco’s radiology departments, alongside pioneering models driven by deep learning, uncertainty quantification, and artificial intelligence (AI) to forecast solar energy, detect anomalies, and diagnose diseases with unprecedented accuracy. These innovations not only push technological boundaries, but also pave the way for a more resilient, eco-friendly future.This book also highlights the ingenuity behind water resource management, wastewater recycling, and sustainable smart supply chains—illustrating how integrated, intelligent solutions are vital for addressing complex ecological and industrial challenges. Whether you are a researcher seeking inspiration, a policymaker shaping sustainable initiatives, or an industry leader driving innovation, this book offers invaluable insights to propel your endeavors forward.

This book introduces a variety of the latest researches that are related to smart devices, machine learning algorithms, and the Internet of things that are applied for a sustainable environment. These recent technologies cover all fields including agriculture, transportation, smart grid, smart building, and others. In addition, IoT has provided an innovative vision that is completely alternative to the conventional methodologies: the new approach comes in the form of a single-component system that can be connected to the network and can incorporate smart policies. As a consequence, the covered subjects encompass smart system design and control, networking and machine learning, environmental monitoring and surveillance, smart meters, authentication and authorization, ensuring private data security, software solutions, and systems, among others. This book covers subjects that are related to the Internet of Things and smart used tools and methods for fighting environmental problems. Therefore, it discusses recent ideas that are not covered by other competitor books. This book is different because it can be a reference for researchers, professionals, and students in both smart thinking and environmental domains.

This book introduces a variety of the latest researches that are related to smart devices, machine learning algorithms, and the Internet of things that are applied for a sustainable environment.

Despite the advances in technologies, it is always important to consider the environment where we live.Hence, the present book presents some recent and fresh works that deal with environmental problems including water quality, wastewater management, air pollution monitoring, renewable energy solutions, food security solutions, and so on.

This book examines how advanced artificial intelligence models can enhance the security of next-generation networks, including IoT, edge computing and cyber-physical systems. It explains improved AI-driven techniques for detecting anomalies, predicting vulnerabilities, and simulating cyber attacks, while ensuring transparency.By integrating theoretical foundations with real-world applications such as intrusion detection, federated learning, predictive analytics, and mobile edge computing security, the book presents actionable frameworks and case studies. It serves as a comprehensive reference for researchers, engineers, and cyber security professionals seeking to build secure, reliable, and resilient modern network infrastructures.This book targets researchers working in cyber security and AI as well as advanced-level students focused on AI, networking, and security. Professionals working in IoT and edge computing environnements will also find this book useful as a reference.