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  • Artificial Intelligence in Civil Engineering
    Artificial Intelligence in Civil Engineering


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  • Artificial Intelligence Technologies for Engineering Applications
    Artificial Intelligence Technologies for Engineering Applications

    The reference text will enable the readers to design, optimize, and control complex systems with greater precision and efficiency.It further provides practical insights and presents case studies for readers interested in exploring the intersections between artificial intelligence and industry.The book discusses important topics such as algorithmic design, mathematical modeling, natural language processing, machine learning, and computer vision. This book:Explores practical applications of artificial intelligence in engineering, including optimization, predictive modeling, decision-making, and control systems. Provides real-world examples of artificial intelligence applications in engineering, drawing from a range of industries including aerospace, automotive, and manufacturing.Discusses technologies such as machine learning, and computer vision for aircraft design optimization, fault diagnosis, and autonomous navigation.Explains natural language processing for analyzing and optimizing building systems, while robotics can be used for construction automation.Presents artificial intelligence technologies for optimization of manufacturing processes, predictive maintenance, and quality control.It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.

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  • Artificial Intelligence and National Security
    Artificial Intelligence and National Security


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  • Artificial Intelligence, Engineering Systems and Sustainable Development : Driving the UN SDGs
    Artificial Intelligence, Engineering Systems and Sustainable Development : Driving the UN SDGs

    Development in any country is impossible if reliable and affordable energy, safe water and sanitation, as well as telecommunication facilities, are not easily accessible.Artificial intelligence and machine learning techniques are now widely used in all branches of engineering to build and optimize systems.The combination of AI and engineering can indeed act as a real catalyst to achieve the UN SDGs. The volume editors present an analysis of different concepts and case studies in engineering disciplines such as chemical, civil, electrical, telecommunications and mechanical engineering, demonstrating how engineering systems and processes can leverage the power of AI to drive and achieve the UN SDGs.Topics covered include sustainable crop production and consumption, AI based clean water and sanitation monitoring, intelligent transport systems and achieving affordable and clean energy through AI and 5G powered internet of energy. Such a study is of paramount importance and is a valuable source of information for researchers, engineers, and policy makers to be able to better design and adopt AI enabled techniques in different engineering areas, with a view to catalyze the achievement of the UN SDGs.

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  • What is artificial intelligence?

    Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, typically computer systems. These processes include learning, reasoning, problem-solving, perception, and language understanding. AI technologies enable machines to perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. AI is a rapidly evolving field with applications in various industries, including healthcare, finance, transportation, and entertainment.

  • What is this artificial intelligence?

    Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, typically computer systems. These processes include learning, reasoning, problem-solving, perception, and language understanding. AI technologies are designed to perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. AI is a rapidly evolving field with applications in various industries, including healthcare, finance, transportation, and entertainment.

  • Does artificial intelligence scare you?

    As an AI, I do not have emotions or fears. However, I understand that some people may feel scared or apprehensive about artificial intelligence due to concerns about its potential impact on society, privacy, and job displacement. It is important for developers and policymakers to address these concerns and ensure that AI is developed and used responsibly.

  • Will artificial intelligence replace us?

    Artificial intelligence has the potential to automate many tasks currently performed by humans, but it is unlikely to completely replace us. While AI can excel at tasks that require data processing and pattern recognition, it lacks human qualities such as creativity, empathy, and critical thinking. Humans will continue to be essential for decision-making, innovation, and tasks that require emotional intelligence. Therefore, rather than replacing us, AI is more likely to augment our capabilities and transform the way we work and live.

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  • Artificial Intelligence Techniques for Sustainable Development
    Artificial Intelligence Techniques for Sustainable Development

    How can the efficiency of the algorithms be increased with a lesser number of computations as well as optimized with the resources for cost-effective solutions?Artificial Intelligence Techniques for Sustainable Development provides an answer.Further, it discusses important concepts such as green communication network design and implementation for the Internet of Things ecosystem, green computing in network security, and artificial intelligence models for remote sensing applications. Key features:Presents the latest tools and techniques in developing solutions intended for resource utilization, energy efficiency, and human and environmental healthHighlights the advancement in electronics and communication technology for green applicationsCovers smart energy harvesting/charging and power management techniques using machine learningExplains green communication network design and implementation for the Internet of Things ecosystem, and green computing in network securityIllustrates prediction models for carbon emission and sequestration, environmental health, and climate changeThe book is aimed at senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communications engineering, computer science and engineering, environmental engineering, and biomedical engineering.

    Price: 150.00 £ | Shipping*: 0.00 £
  • Artificial Intelligence and Smart Agriculture Technology
    Artificial Intelligence and Smart Agriculture Technology

    This book was created with the intention of informing an international audience about the latest technological aspects for developing smart agricultural applications.As artificial intelligence (AI) takes the main role in this, the majority of the chapters are associated with the role of AI and data analytics components for better agricultural applications.The first two chapters provide alternative, wide reviews of the use of AI, robotics, and the Internet of Things as effective solutions to agricultural problems.The third chapter looks at the use of blockchain technology in smart agricultural scenarios.In the fourth chapter, a future view is provided of an Internet of Things-oriented sustainable agriculture.Next, the fifth chapter provides a governmental evaluation of advanced farming technologies, and the sixth chapter discusses the role of big data in smart agricultural applications.The role of the blockchain is evaluated in terms of an industrial view under the seventh chapter, and the eighth chapter provides a discussion of data mining and data extraction, which is essential for better further analysis by smart tools.The ninth chapter evaluates the use of machine learning in food processing and preservation, which is a critical issue for dealing with issues concerns regarding insufficient foud sources.The tenth chapter also discusses sustainability, and the eleventh chapter focuses on the problem of plant disease prediction, which is among the critical agricultural issues.Similarly, the twelfth chapter considers the use of deep learning for classifying plant diseases.Finally, the book ends with a look at cyber threats to farming automation in the thirteenth chapter and a case study of India for a better, smart, and sustainable agriculture in the fourteenth chapter. This book presents the most critical research topics of today’s smart agricultural applications and provides a valuable view for both technological knowledge and ability that will be helpful to academicians, scientists, students who are the future of science, and industrial practitioners who collaborate with academia.

    Price: 130.00 £ | Shipping*: 0.00 £
  • Advancement of Artificial Intelligence in Healthcare Engineering
    Advancement of Artificial Intelligence in Healthcare Engineering

    Artificial intelligence (AI) is revolutionizing every aspect of human life including human healthcare and wellbeing management.Various types of intelligent healthcare engineering applications have been created that help to address patient healthcare and outcomes such as identifying diseases and gathering patient information.Advancements in AI applications in healthcare continue to be sought to aid rapid disease detection, health monitoring, and prescription drug tracking. Advancement of Artificial Intelligence in Healthcare Engineering is an essential scholarly publication that provides comprehensive research on the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in the design, implementation, and optimization of healthcare engineering solutions.Featuring a wide range of topics such as genetic algorithms, mobile robotics, and neuroinformatics, this book is ideal for engineers, technology developers, IT consultants, hospital administrators, academicians, healthcare professionals, practitioners, researchers, and students.

    Price: 425.00 £ | Shipping*: 0.00 £
  • ARTificial Intelligence
    ARTificial Intelligence


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  • Is artificial intelligence a danger?

    Artificial intelligence can be a double-edged sword. While it has the potential to greatly benefit society by improving efficiency and solving complex problems, there are also concerns about its potential dangers. These include issues such as job displacement, privacy invasion, and the potential for AI systems to make biased or unethical decisions. It is crucial for regulations and ethical guidelines to be in place to ensure that AI is developed and used responsibly.

  • How intelligent is artificial intelligence?

    Artificial intelligence can be considered highly intelligent in terms of its ability to perform specific tasks and solve complex problems. AI systems can process and analyze vast amounts of data at speeds far beyond human capabilities, leading to advancements in various fields such as healthcare, finance, and transportation. However, AI lacks the general intelligence and cognitive abilities of humans, such as creativity, emotional intelligence, and common sense reasoning, which limits its overall intelligence compared to human intelligence.

  • Is artificial intelligence a threat?

    Artificial intelligence can be seen as a potential threat due to concerns about job displacement, privacy invasion, and the potential for misuse in warfare or surveillance. However, it also has the potential to bring about significant advancements in various fields such as healthcare, transportation, and education. It is important for society to carefully consider and regulate the development and deployment of AI to ensure that its benefits are maximized while minimizing potential risks.

  • Is artificial intelligence totally overestimated?

    Artificial intelligence is a powerful and rapidly advancing technology, but it is not without its limitations and challenges. While AI has made significant progress in areas such as image and speech recognition, natural language processing, and autonomous vehicles, it still struggles with complex reasoning, understanding context, and generalizing knowledge. Additionally, there are ethical and societal concerns surrounding the use of AI, such as bias in algorithms and job displacement. Therefore, while AI has great potential, it is important to approach its capabilities and limitations with a balanced perspective.

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