Mohammad Ayoub Khan – författare

Application of Machine Learning in Smart Agriculture is the first book to present a multidisciplinary look at how technology can not only improve agricultural output, but the economic efficiency of that output as well. Through a global lens, the book approaches the subject from a technical perspective, providing important knowledge and insights for effective and efficient implementation and utilization of machine learning.

As artificial intelligence techniques are being used to increase yield through optimal planting, fertilizing, irrigation, and harvesting, these are only part of the complex picture which must also take into account the economic investment and its optimized return. The performance of machine learning models improves over time as the various mathematical and statistical models are proven. Presented in three parts, Application of Machine Learning in Smart Agriculture looks at the fundamentals of smart agriculture; the economics of the technology in the agricultural marketplace; and a diverse representation of the tools and techniques currently available, and in development.

This book is an important resource for advanced level students and professionals working with artificial intelligence, internet of things, technology and agricultural economics.

Addresses the technology of smart agriculture from a technical perspective Reveals opportunities for technology to improve and enhance not only yield and quality, but the economic value of a food crop Discusses physical instruments, simulations, sensors, and markets for machine learning in agriculture

The book deals with the conceptual and practical knowledge of the latest tools and methodologies of hardware development for Internet of Things (IoT) and variety of real-world challenges. The topics cover the state-of-the-art and future perspectives of IoT technologies, where industry experts, researchers, and academics had shared ideas and experiences surrounding frontier technologies, breakthrough, and innovative solutions and applications.Several aspects of various hardware technologies, methodologies, and communication protocol such as formal design flow for IoT hardware, design approaches for IoT hardware, IoT solution reference architectures and Instances, simulation, modelling and programming framework, hardware basics of sensors for IoT, configurable processor and technology for IoT and real-life examples and studies are critically examined in this book. It also identifies key technological facet that supports the relevance of hardware perspective of IoT and discusses the benefits and challenges to dominate the next decades.The book serves as an excellent reference for senior undergraduates and graduates in electrical and computer engineering, research scholars, mobile and wireless communications engineers, IT engineers, and electronics engineers who need to understand IoT at an in-depth level to build and manage IoT solutions.

The book deals with the conceptual and practical knowledge of the latest tools and methodologies of hardware development for Internet of Things (IoT) and variety of real-world challenges. The topics cover the state-of-the-art and future perspectives of IoT technologies, where industry experts, researchers, and academics had shared ideas and experiences surrounding frontier technologies, breakthrough, and innovative solutions and applications.Several aspects of various hardware technologies, methodologies, and communication protocol such as formal design flow for IoT hardware, design approaches for IoT hardware, IoT solution reference architectures and Instances, simulation, modelling and programming framework, hardware basics of sensors for IoT, configurable processor and technology for IoT and real-life examples and studies are critically examined in this book. It also identifies key technological facet that supports the relevance of hardware perspective of IoT and discusses the benefits and challenges to dominate the next decades.The book serves as an excellent reference for senior undergraduates and graduates in electrical and computer engineering, research scholars, mobile and wireless communications engineers, IT engineers, and electronics engineers who need to understand IoT at an in-depth level to build and manage IoT solutions.

The field of SMART technologies is an interdependent discipline. It involves the latest burning issues ranging from machine learning, cloud computing, optimisations, modelling techniques, Internet of Things, data analytics, and Smart Grids among others, that are all new fields. It is an applied and multi-disciplinary subject with a focus on Specific, Measurable, Achievable, Realistic & Timely system operations combined with Machine intelligence & Real-Time computing. It is not possible for any one person to comprehensively cover all aspects relevant to SMART Computing in a limited-extent work. Therefore, these conference proceedings address various issues through the deliberations by distinguished Professors and researchers. The SMARTCOM 2020 proceedings contain tracks dedicated to different areas of smart technologies such as Smart System and Future Internet, Machine Intelligence and Data Science, Real-Time and VLSI Systems, Communication and Automation Systems. The proceedings can be used as an advanced reference for research and for courses in smart technologies taught at graduate level.

This book presents practical as well as conceptual insights into the latest trends, tools, techniques and methodologies of blockchains for the Internet of Things. The decentralised Internet of Things (IoT) not only reduces infrastructure costs, but also provides a standardised peer-to-peer communication model for billions of transactions. However, there are significant security challenges associated with peer-to-peer communication. The decentralised concept of blockchain technology ensures transparent interactions between different parties, which are more secure and reliable thanks to distributed ledger and proof-of-work consensus algorithms. Blockchains allow trustless, peer-to-peer communication and have already proven their worth in the world of financial services. The blockchain can be implanted in IoT systems to deal with the issues of scale, trustworthiness and decentralisation, allowing billions of devices to share the same network without the need for additional resources.This book discusses the latest tools and methodology and concepts in the decentralised Internet of Things.Each chapter presents an in-depth investigation of the potential of blockchains in the Internet of Things, addressing the state-of-the-art in and future perspectives of the decentralised Internet of Things. Further, industry experts, researchers and academicians share their ideas and experiences relating to frontier technologies, breakthrough and innovative solutions and applications.

This book presents practical as well as conceptual insights into the latest trends, tools, techniques and methodologies of blockchains for the Internet of Things. The decentralised Internet of Things (IoT) not only reduces infrastructure costs, but also provides a standardised peer-to-peer communication model for billions of transactions. However, there are significant security challenges associated with peer-to-peer communication. The decentralised concept of blockchain technology ensures transparent interactions between different parties, which are more secure and reliable thanks to distributed ledger and proof-of-work consensus algorithms. Blockchains allow trustless, peer-to-peer communication and have already proven their worth in the world of financial services. The blockchain can be implanted in IoT systems to deal with the issues of scale, trustworthiness and decentralisation, allowing billions of devices to share the same network without the need for additional resources.This book discusses the latest tools and methodology and concepts in the decentralised Internet of Things.Each chapter presents an in-depth investigation of the potential of blockchains in the Internet of Things, addressing the state-of-the-art in and future perspectives of the decentralised Internet of Things. Further, industry experts, researchers and academicians share their ideas and experiences relating to frontier technologies, breakthrough and innovative solutions and applications.

This book offers practical as well as conceptual knowledge of the latest trends, tools, techniques and methodologies of data analytics in smart cities. The smart cities allow different kinds of wireless sensors to gather massive amounts, full speed and a broad range of city data.

This book offers practical as well as conceptual knowledge of the latest trends, tools, techniques and methodologies of data analytics in smart cities. The smart cities allow different kinds of wireless sensors to gather massive amounts, full speed and a broad range of city data.

Cybercrime, Digital Forensics and Jurisdiction

This book demonstratesthe success of Ambient Intelligence in providing possible solutions for the dailyneeds of humans. The book addresses implications of ambient intelligence in areasof domestic living, elderly care, robotics, communication, philosophy andothers. The objective of this editedvolume is to show that Ambient Intelligence is a boon to humanity withconceptual, philosophical, methodical and applicative understanding.  The book also aims to schematicallydemonstrate developments in the direction of augmented sensors, embeddedsystems and behavioral intelligence towards Ambient Intelligent Networks orSmart Living Technology. It contains chapters in the field of AmbientIntelligent Networks, which received highly positive feedbackduring the reviewprocess. The book contains research work, with in-depth state of the art fromaugmented sensors, embedded technology and artificial intelligence along withcutting-edge research and development of technologies and applications of AmbientIntelligent Networks. This book is intended to introduce ideas, methods,technologies of the future development of humanity, Science and Technology.

The purpose of law is to prevent the society from harm by declaring what conduct is criminal, and prescribing the punishment to be imposed for such conduct. The pervasiveness of the internet and its anonymous nature make cyberspace a lawless frontier where anarchy prevails. Historically, economic value has been assigned to visible and tangible assets. With the increasing appreciation that intangible data disseminated through an intangible medium can possess economic value, cybercrime is also being recognized as an economic asset.The Cybercrime, Digital Forensics and Jurisdiction disseminate knowledge for everyone involved with understanding and preventing cybercrime - business entities, private citizens, and government agencies. The book is firmly rooted in the law demonstrating that a viable strategy to confront cybercrime must be international in scope.

This book demonstratesthe success of Ambient Intelligence in providing possible solutions for the dailyneeds of humans.

Nowadays embedded and real-time systems contain complex software. The complexity of embedded systems is increasing, and the amount and variety of software in the embedded products are growing. This creates a big challenge for embedded and real-time software development processes and there is a need to develop separate metrics and benchmarks.“Embedded and Real Time System Development: A Software Engineering Perspective: Concepts, Methods and Principles” presents practical as well as conceptual knowledge of the latest tools, techniques and methodologies of embedded software engineering and real-time systems. Each chapter includes an in-depth investigation regarding the actual or potential role of software engineering tools in the context of the embedded system and real-time system. The book presents state-of-the art and future perspectives with industry experts, researchers, and academicians sharing ideas and experiences including surrounding frontier technologies, breakthroughs, innovative solutions and applications. The book is organized into four parts “Embedded Software Development Process”, “Design Patterns and Development Methodology”, “Modelling Framework” and “Performance Analysis, Power Management and Deployment” with altogether 12 chapters. The book is aiming at (i) undergraduate students and postgraduate students conducting research in the areas of embedded software engineering and real-time systems; (ii) researchers at universities and other institutions working in these fields; and (iii) practitioners in the R&D departments of embeddedsystem. It can be used as an advanced reference for a course taught at the postgraduate level in embedded software engineering and real-time systems.

Nowadays embedded and real-time systems contain complex software. The complexity of embedded systems is increasing, and the amount and variety of software in the embedded products are growing. This creates a big challenge for embedded and real-time software development processes and there is a need to develop separate metrics and benchmarks.“Embedded and Real Time System Development: A Software Engineering Perspective: Concepts, Methods and Principles” presents practical as well as conceptual knowledge of the latest tools, techniques and methodologies of embedded software engineering and real-time systems. Each chapter includes an in-depth investigation regarding the actual or potential role of software engineering tools in the context of the embedded system and real-time system. The book presents state-of-the art and future perspectives with industry experts, researchers, and academicians sharing ideas and experiences including surrounding frontier technologies, breakthroughs, innovative solutions and applications. The book is organized into four parts “Embedded Software Development Process”, “Design Patterns and Development Methodology”, “Modelling Framework” and “Performance Analysis, Power Management and Deployment” with altogether 12 chapters. The book is aiming at (i) undergraduate students and postgraduate students conducting research in the areas of embedded software engineering and real-time systems; (ii) researchers at universities and other institutions working in these fields; and (iii) practitioners in the R&D departments of embeddedsystem. It can be used as an advanced reference for a course taught at the postgraduate level in embedded software engineering and real-time systems.

This book explores the intersection of artificial intelligence (AI) and sustainable development within social economies. The volume is contributed by leading experts in both AI and sustainability and delves into the potential of AI to catalyze positive change in economic systems while addressing pressing social and environmental challenges. In addition, the book provides a comprehensive overview of how AI technologies can be harnessed to optimize resource allocation, enhance decision-making processes, and foster inclusive economic growth. The volume also emphasizes the role of AI in promoting sustainability, offering insights into innovative applications such as smart resource management, climate modelling, and the creation of eco-friendly technologies. Furthermore, the book discusses ethical considerations surrounding the use of AI in social economies and proposes frameworks for responsible AI deployment. Through case studies and real-world examples, the book illustrates how AI-driven solutions can drive environmental conservation, reduce inequality, and contribute to the overall well-being of communities. This book is a valuable resource for policymakers, academics, and industry professionals seeking to leverage AI as a powerful tool for building a more sustainable and equitable future.