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Integration of Advanced Systems in Environmental Science and Water Desalination
Integration of Advanced Systems in Environmental Science and Water Desalination explores cutting-edge technologies revolutionizing environmental monitoring and desalination processes. The book bridges the gap between research and real-world applications, offering insights into machine learning, IoT-based sensor networks, remote sensing, and advanced materials that enhance efficiency and sustainability. Readers will discover how modern innovations—such as satellite imaging, smart sensors, and renewable energy-powered desalination—are tackling critical water and environmental challenges. Designed for professionals and researchers, this comprehensive resource provides practical solutions fo...
Artificial Intelligence, Data Science and Applications
This book is to provide a comprehensive reference for professionals in the field of data science and applications: artificial intelligence, big data, IoT, and blockchain. In summary, this book is expected to function as a helpful resource and manual, enabling readers to navigate the intricate domain of artificial intelligence, the Internet of things (IoT), and blockchain in smart environments. This book covers many topics related to integrating AI, IoT, blockchain, and smart environments. It begins by laying a solid foundation, introducing each technology's fundamental concepts and principles. Subsequent chapters explore applications and real-world use cases, demonstrating how AI, IoT, and blockchain can effectively address critical challenges within data science and applications.
Intelligent Systems in Big Data, Semantic Web and Machine Learning
This book describes important methodologies, tools and techniques from the fields of artificial intelligence, basically those which are based on relevant conceptual and formal development. The coverage is wide, ranging from machine learning to the use of data on the Semantic Web, with many new topics. The contributions are concerned with machine learning, big data, data processing in medicine, similarity processing in ontologies, semantic image analysis, as well as many applications including the use of machine leaning techniques for cloud security, artificial intelligence techniques for detecting COVID-19, the Internet of things, etc. The book is meant to be a very important and useful source of information for researchers and doctoral students in data analysis, Semantic Web, big data, machine learning, computer engineering and related disciplines, as well as for postgraduate students who want to integrate the doctoral cycle.
Intersection of Artificial Intelligence, Data Science, and Cutting-Edge Technologies: From Concepts to Applications in Smart Environment
This book explores the integration of AI, data science, and emerging technologies to create innovative, practical solutions for smart environments. This book offers a comprehensive framework that combines theoretical concepts with real-world applications, focusing on how these technologies intersect to transform various domains such as healthcare, urban planning, and sustainable development. The book's novel approach emphasizes interdisciplinary methods and problem-solving in dynamic, data-driven environments, with case studies illustrating practical impacts and advancements in smart city infrastructure, IoT, and predictive analytics. It is designed for researchers, practitioners, and advanced students interested in AI and data science applications within smart systems, as well as professionals seeking actionable insights to apply these technologies in complex environments.
AI-enhanced Solutions for Sustainable Cybersecurity
"This book covers a variety of topics, including an overview of cybersecurity issues, and provides detailed analysis of each application's security challenges, taking into account the architecture and technologies employed"--
Advancements in Climate and Smart Environment Technology
The world faces escalating environmental and healthcare challenges, from climate change to managing natural resources and providing efficient medical services. These issues are complex, often requiring intricate modeling and intervention from domain experts. Traditional analytical methods need help to cope with the complexity and scale of these challenges, leading to inefficiencies and suboptimal outcomes. There is a pressing need for innovative solutions that can enhance our ability to address these issues effectively. Advancements in Climate and Smart Environment Technology present a compelling solution to these pressing problems. By leveraging the power of artificial intelligence (AI) tec...
Advanced Computation Solutions for Energy Efficiency
Advanced computation solutions transform how industries and organizations optimize energy usage, reduce waste, and minimize environmental impact. By leveraging cutting-edge technologies, these solutions enable real-time monitoring and precise control over energy systems. From smart grids to energy-efficient building management systems, computational tools enable accurate prediction, analysis, and optimization of energy consumption. As the demand for sustainable energy practices grows, advanced computational solutions are becoming indispensable for achieving greater efficiency, lowering costs, and supporting global efforts to combat climate change. These innovations offer promising pathways t...
Addressing Environmental Challenges with AI, Robotics, and Augmented Reality
Addressing environmental challenges requires innovative, interdisciplinary solutions using technologies like artificial intelligence (AI), robotics, and augmented reality (AR). These advanced tools enhance monitoring and response to environmental changes while enabling proactive intervention strategies across ecosystems, industries, and communities. From AI-driven climate modeling and robotic reforestation to AR-enhanced environmental education and disaster response, these technologies reshape the understanding and protection of the natural world. Further research into issues like climate change, pollution, and biodiversity loss, may improve the integration of AI, robotics, and AR to offer a...
Blockchain and Machine Learning for IoT Security
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...
Artificial Intelligence Systems in Environmental Engineering
Specialists are paying attention to the growing concern for environmental issues. Artificial Intelligence Systems in Environmental Engineering uses techniques from the field of Artificial Intelligence as the alternative to address problems that are difficult to model by analytical methods. The book provides a general study and introduces a set of techniques for environmental engineering. With a particular focus on climate change and energy policy, it discusses innovative solutions and models that can positively influence and increase the efficiency of resource use and decrease the impact on the environment while developing the well-being of individuals. The book will be of most interest to research students who have a scientific approach and deal with problems related to environmental engineering.
