Mourade Azrour - Böcker

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

Smart agriculture is an approach to maintaining nature without compromising the basic needs of future generations while at the same time improving the efficiency of farming. The main achievements of smart agriculture in terms of sustainable agriculture are crop rotation, controlling nutrient deficiencies in crops, pest and disease control, recycling, and water harvesting, leading to a safer environment overall. Living organisms depend on the nature of biodiversity and are exposed to pollution due to waste emissions, use of fertilizers and pesticides, degraded dead plants, and so on. The emission of greenhouse gases affects plants, animals, humans, and the environment; hence, this necessitates a better environment for living organisms.The purpose of this book is to provide a comprehensive overview of the latest advancements, challenges, and potential applications of artificial intelligence (AI) technology and the Internet of Things (IoT) in the future of intelligent agriculture. The book is primarily focused on equipping younger researchers, graduates, and professionals in the industry with the necessary knowledge to understand the advantages of AI technology, machine learning, and data analytics methods in improving current agricultural practices.Key features include the following:The book showcases the latest advancements in AI and smart agriculture technologiesThe text emphasizes sustainable practices supported by AI, highlighting how technology can enhance productivity while minimizing environmental impactReaders will learn how to harness big data and analytics to drive informed decision-making and optimize their agricultural yields

Smart agriculture is an approach to maintaining nature without compromising the basic needs of future generations while at the same time improving the efficiency of farming. The main achievements of smart agriculture in terms of sustainable agriculture are crop rotation, controlling nutrient deficiencies in crops, pest and disease control, recycling, and water harvesting, leading to a safer environment overall. Living organisms depend on the nature of biodiversity and are exposed to pollution due to waste emissions, use of fertilizers and pesticides, degraded dead plants, and so on. The emission of greenhouse gases affects plants, animals, humans, and the environment; hence, this necessitates a better environment for living organisms.The purpose of this book is to provide a comprehensive overview of the latest advancements, challenges, and potential applications of artificial intelligence (AI) technology and the Internet of Things (IoT) in the future of intelligent agriculture. The book is primarily focused on equipping younger researchers, graduates, and professionals in the industry with the necessary knowledge to understand the advantages of AI technology, machine learning, and data analytics methods in improving current agricultural practices.Key features include the following:The book showcases the latest advancements in AI and smart agriculture technologiesThe text emphasizes sustainable practices supported by AI, highlighting how technology can enhance productivity while minimizing environmental impactReaders will learn how to harness big data and analytics to drive informed decision-making and optimize their agricultural yields

The growth of the Internet of Things (IoT) technology has indeed led to an increase in cybersecurity issues. While the Internet of Things enhances accessibility, integrity, availability, scalability, confidentiality, and interoperability among devices, it also faces vulnerabilities due to its diverse attack sources and lack of standardization in security protocols. This makes Internet of Things systems particularly susceptible to cyberattacks. It is essential to ensure proper security measures are in place to protect Internet of Things devices and networks, given their critical role in modern communications and the evolving threat landscape. Always remember to verify important security information from trusted sources.Recent Advances in Internet of Things Security discusses the critical importance of robust security frameworks to protect Internet of Things ecosystems against various cyber threats. It highlights the security risks associated with Internet of Things devices and applications and presents a variety of potential solutions. It is essential to remain aware of these challenges to effectively safeguard Internet of Things systems. This book delves into the complexities of IoT security, exploring a range of vulnerabilities across different layers of the IoT architecture.The book provides a comprehensive overview of Internet of Things security, emphasizing the significance of securing Internet of Things products and applications. It serves as a foundational resource for young researchers, academics, and industry professionals keen on advanced security solutions within the Internet of Things landscape, reflecting the current state of research and ongoing challenges in this field.

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 showcases the use of the Internet of Things (IoT) for new applications in a smart environment. It further discusses the recent innovations and applications of artificial intelligence for managing environmental resources.Key Features:Showcases how artificial intelligence and deep learning technologies can be applied to large-scale data analysis for environment monitoring, enabling accurate follow-up of critical ecosystem health.Discusses energy performance strategies and includes a wide range of strategies and technologies designed to reduce energy consumption and promote new energy production.Presents IoT innovative solutions that largely enhance environmental quality by enabling smart monitoring, data collection, and real-time analysis.Highlights how artificial intelligence is transforming energy management by providing new innovative solutions that optimize energy use, enhance efficiency, and facilitate the integration of renewable energy resources.Illustrates sustainable technologies and solutions that seek to decrease energy usage, minimize waste, and reduce carbon footprints through the careful utilization of natural resources over the entire computing system.This book is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, environmental engineering, and information technology.

With sustainability as the focus, the topics covered include designing and controlling of smart systems, networking and machine learning, monitoring and controlling the environment, smart metering, authentication and authorization, and software and systems solution.

With sustainability as the focus, the topics covered include designing and controlling of smart systems, networking and machine learning, monitoring and controlling the environment, smart metering, authentication and authorization, and software and systems solution.

Integrated sensors in irrigation facilities, water supply systems, pipelines, cisterns, weather stations, ocean, and industrial facilities—anywhere on the globe—can record temperature, relative humidity, water content, leaks, and any other physical parameters.

Integrated sensors in irrigation facilities, water supply systems, pipelines, cisterns, weather stations, ocean, and industrial facilities—anywhere on the globe—can record temperature, relative humidity, water content, leaks, and any other physical parameters.

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.

This generally leads to a reduction in the by-products, energy inputs and resources used by companies to produce goods.Integrated production technologies reduce negative environmental impacts at source by substituting or modifying cleaner technologies.

This generally leads to a reduction in the by-products, energy inputs and resources used by companies to produce goods.Integrated production technologies reduce negative environmental impacts at source by substituting or modifying cleaner technologies.

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 focuses on the integration of Artificial Intelligence (AI) technology for securing IoT next systems, exploring a comprehensive collection of recent techniques and strategies aimed at protecting these complex networks. Moreover, it highlights the alteration from standard security techniques to sophisticated, vulnerability-managed frameworks that can adapt flexibly to emerging threats. It also discusses the important frameworks proposed for the efficient implementation of IoT systems to provide enhanced security and privacy. This book highlights the requirement of harnessing advanced artificial intelligence and machine learning approaches to address the evolving landscape of IoT threats, underscoring the intersection of security, scalability, and automation in next-generation IoT environments. Subsequently, the chapters investigate the fundamental methodologies and innovations transforming IoT security. Hence, topics treated range from the assessment of deep learning approaches for intrusion detection to the development of multi-factor authentication schemes based on elliptic curve cryptography.This book is appropriate for advanced-level students in computer science and junior researchers, who are studying relevant subjects such as the Internet of Things, cybersecurity, wireless communications, and artificial intelligence. Researchers, cybersecurity specialist and professionals working in advanced IoT, data security, artificial intelligent applications or similar fields will want to purchase this book as well.