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  • machine learning
  • thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
  • IntechOpen  (26)
  • English  (26)
  • Japanese
  • Swedish
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  • English  (26)
  • Japanese
  • Swedish
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  • 1
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    IntechOpen | IntechOpen
    Publication Date: 2024-04-04
    Description: Numerical simulation is a powerful tool used in various fields of science and engineering to model complex systems and predict their behavior. It involves developing mathematical models that describe the behavior of a system and using computer algorithms to solve these models numerically. By doing so, researchers and engineers can study the behavior of a system in detail, which may only be possible with analytical methods. Numerical simulation has many advantages over traditional analytical methods. It allows researchers and engineers to study complex systems’ behavior in detail and predict their behavior in different scenarios. It also allows for the optimization of systems and the identification of design flaws before they are built. However, numerical simulation has its limitations. It requires significant computational resources, and the accuracy of the results depends on the quality of the mathematical models and the discretization methods used. Nevertheless, numerical simulation remains a valuable tool in many fields and its importance is likely to grow as computational resources become more powerful and widely available. Numerical simulation is widely used in physics, engineering, computer science, and mathematics. In physics, for example, numerical simulation is used to study the behavior of complex systems such as weather patterns, fluid dynamics, and particle interactions. In engineering, it is used to design and optimize systems such as aircraft, cars, and buildings. In computer science, numerical simulation models and optimization algorithms and data structures. In mathematics, it is used to study complex mathematical models and to solve complex equations. This book familiarizes readers with the practical application of the numerical simulation technique to solve complex analytical problems in different industries and sciences.
    Keywords: machine learning ; artificial intelligence ; optimization ; heat transfer ; cfd ; image processing ; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics::PBWH Mathematical modelling
    Language: English
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  • 2
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    IntechOpen | IntechOpen
    Publication Date: 2024-04-11
    Description: This book includes six chapters on wind turbine icing. For wind turbines operating in cold regions, icing often occurs on blade surfaces in winter. This ice accretion can change the aerodynamic shape of the blade airfoil, causing performance degradation and loss of power generation, even leading to operational accidents. This book focuses on the recent research progress on wind turbine icing. Chapters address such topics as the effect of icing conditions on the icing distribution characteristics of a blade airfoil for vertical-axis wind turbines, power loss estimation in wind turbines due to icing, wind turbine icing prediction methods, especially those using machine learning, the icing process of a single water droplet on a cold aluminum plate surface, the main theories of the icing adhesive mechanism, and theoretical and experimental studies on the ultrasonic de-icing method for wind turbine blades. This book is a valuable reference for researchers and engineers engaged in wind turbine icing and anti-icing research.
    Keywords: machine learning ; cfd ; numerical simulation ; artificial neural network ; wind energy ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering
    Language: English
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  • 3
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    IntechOpen | IntechOpen
    Publication Date: 2024-04-14
    Description: Emotion is a complex phenomenon that varies from person to person. Different emotional states of a person can be inferred through external and internal reactions that change in different situations. Emotion recognition has become a research milestone in cognitive science, neuroscience, computer science, psychology, artificial intelligence, and other areas. Emotion recognition research uses non-physiological signals such as facial expression, speech, and body movement, as well as physiological signals and images such as electrical skin resistance (GSR), heart rate (HR), electrocardiogram (ECG), functional magnetic resonance imaging (fMRI), electroencephalogram (EEG) and magnetoencephalogram (MEG). This book provides a comprehensive overview of the different techniques used in emotion recognition and discusses recent developments, perspectives, and applications in the field.
    Keywords: machine learning ; deep learning ; feature extraction ; emotional intelligence ; creativity ; consumer behavior ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction::UYZG User interface design and usability
    Language: English
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  • 4
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    IntechOpen | IntechOpen
    Publication Date: 2024-04-01
    Description: This book discusses various topics in pharmacovigilance. The first section addresses such topics as approaches to minimize adverse drug reactions, different stakeholders and their importance in pharmaceutical policy development, changing needs for pharmacovigilance in the African region, machine learning applications in pharmacovigilance, and pharmacovigilance of biological drugs. The second section discusses signal detection, which is a promising approach that helps in the early identification of new, rare drug reactions (desired or undesired).
    Keywords: machine learning ; data mining ; elderly ; biosimilar ; supervised learning ; mental disorders ; thema EDItEUR::M Medicine and Nursing::MK Medical specialties, branches of medicine::MKG Pharmacology
    Language: English
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  • 5
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    IntechOpen | IntechOpen
    Publication Date: 2024-04-14
    Description: The Internet of Things (IoT) has emerged as a popular area of research and has piqued the interest of academics and scholars worldwide. As such, many works have been done on IoT in a variety of application areas. Written by leading experts in the field, this book serves as a showcase of the breadth of IoT research conducted in recent years for people who, while not experts in the field, do have prior knowledge of the IoT. The book also serves curious, non-technical readers, enabling them to understand necessary concepts and terminologies associated with the IoT.
    Keywords: artificial intelligence ; iot ; machine learning ; healthcare ; ai ; ehealth ; thema EDItEUR::U Computing and Information Technology::UD Digital Lifestyle and online world: consumer and user guides::UDF Email: consumer / user guides
    Language: English
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  • 6
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    IntechOpen | IntechOpen
    Publication Date: 2024-03-07
    Description: Access to health care is the ability to receive health services for the prevention, detection, and treatment of disorders that affect health. For health care to be accessible, it must be affordable and able to protect and improve health. There are myriad reasons that may make access to health services difficult or even impossible. These include economic problems, conflicts, climate change, internal and external migrations, beliefs, and so on. This book examines many of these barriers to health care and proposes solutions for overcoming them.
    Keywords: climate change ; public health ; primary health care ; machine learning ; breast cancer ; pandemic ; bic Book Industry Communication::M Medicine::MB Medicine: general issues::MBN Public health & preventive medicine::MBNH Personal & public health::MBNH9 Health psychology
    Language: English
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  • 7
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    IntechOpen | IntechOpen
    Publication Date: 2024-04-14
    Description: This book provides an overview of Data and Decision Sciences (DDS) and recent advances and applications in space-based systems and business, medical, and agriculture processes, decision optimization modeling, and cognitive decision-making. Written by experts, this volume is organized into four sections and seven chapters. It is a valuable resource for educators, engineers, scientists, and researchers in the field of DDS.
    Keywords: machine learning ; simulation ; sustainable agriculture ; regression ; decision support system ; data analytics ; thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining
    Language: English
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  • 8
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    IntechOpen | IntechOpen
    Publication Date: 2024-04-14
    Description: We are living in an age of digital transformation, where internet connectivity is totally transparent for end users. Since the development of internet of things technologies and artificial intelligence algorithms, we have also been experiencing new business models and applications. In Ubiquitous and Pervasive Computing - New Trends and Opportunities, novel concepts and applications in this area are described, and the expectations and challenges of the next ten years are discussed. Individual chapters focus on data science, the internet of things, big data, Industry 4.0, high-performance computing, intelligent applications, and cloud computing environments.
    Keywords: machine learning ; fog computing ; iot ; cloud computing ; healthcare ; security ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering
    Language: English
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  • 9
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    IntechOpen | IntechOpen
    Publication Date: 2024-04-14
    Description: Cyber security providers are facing a continuous stream of new, sophisticated cyberattacks on cyber critical infrastructures worldwide. These cyberattacks are often triggered by malware and ransomware. This book presents a collection of selected papers addressing malware detection, which is necessary to create reliable and resilient cyber and computer security mechanisms.
    Keywords: machine learning ; artificial intelligence ; big data ; privacy ; crime ; bifurcation ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTC Cloud computing
    Language: English
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  • 10
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    IntechOpen | IntechOpen
    Publication Date: 2024-04-11
    Description: Recent advances in relevant technologies have led to innovative solutions that can achieve reliable, resilient, and sustainable designs. Such characteristics are now considered essential for any newly designed engineering system. Such innovative solutions include applications of artificial intelligence in the design of integrated smart systems. This book discusses the implications of new concepts such as sustainability, resilience, health monitoring, and artificial intelligence on the reliability of designed systems.
    Keywords: machine learning ; artificial intelligence ; big data ; automation ; neural networks ; monte carlo simulation ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building::TNC Structural engineering::TNCC Soil and rock mechanics
    Language: English
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