Søgeresultater - machine learning (algorithm OR algorithms)

  1. Face Recognition

    Udgivet 2023
    “...They can be useful for researchers, engineers, graduate and postgraduate students, experts in this area and hopefully also for people interested generally in computer science, security, machine learning and artificial intelligence. Various methods, approaches and algorithms for recognition of human faces are used by authors of the chapters of this book, e.g. ...”
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  2. Advances in Security in Computing and Communications

    Udgivet 2023
    Fag: “...machine learning, internet of things, algorithm, cybersecurity, information security, wsn...”
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  3. Digital Systems

    Udgivet 2023
    “...It covers a broad area of digital systems and applications of machine learning methods including convolutional neural networks, evolutionary algorithms, adaptive filters, spectral estimation, data compression and functional verification. ...”
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  4. Machine Learning

    Udgivet 2023
    “...Machine learning algorithms are based on concepts and tools developed in several fields including statistics, artificial intelligence, information theory, cognitive science, and control theory. ...”
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  5. From Natural to Artificial Intelligence

    Udgivet 2023
    “...The challenge to reproduce human behavior in machines requires the interaction of many fields, from engineering to mathematics, from neurology to biology, from computer science to robotics, from web search to social networks, from machine learning to game theory, etc. ...”
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  6. Colorimetry and Image Processing

    Udgivet 2023
    “...On the other hand, image processing is shown by pansharpening algorithms for hyperspectral images, an approach based on the analysis of the low-resolution satellite images and ground-based sky camera for estimating the cloud motion, a hybrid super-resolution framework that combines desirable features of TV and PM models, a study of the real-time video analysis used for anthropometric measurements on agricultural tools and machines, and finally, an approach based on the threshold optimization iterative algorithm using the ground truth data and assessing the accuracy of a range of threshold values through the corresponding Kappa coefficient of concordance....”
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  7. Intelligent System

    Udgivet 2023
    “...This book aims to describe the AI systems ranging from the basic knowledge, i.e., algorithm and mathematical models of AI techniques, fundamentals of machine learning, genetic algorithm, and fuzzy logic, to the current state-of-the-art applications, such as smart road and biomedical applications....”
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  8. Recent Applications in Data Clustering

    Udgivet 2023
    Fag: “...machine learning, deep learning, iot, genetic algorithm, construction, algorithm...”
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  9. Computational Optimization Techniques and Applications

    Udgivet 2023
    Fag: “...machine learning, simulation, genetic algorithm, clustering, down syndrome, evolutionary algorithms...”
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  10. Machine Learning

    Udgivet 2023
    “...Recent times are witnessing rapid development in machine learning algorithm systems, especially in reinforcement learning, natural language processing, computer and robot vision, image processing, speech, and emotional processing and understanding. ...”
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  11. Advances in Knee Surgery

    Udgivet 2024
    Fag: “...machine learning...”
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  12. Data Analysis and Mining

    Udgivet 2024
    Fag: “...machine learning...”
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  13. Fault Detection and State Estimation in Automatic Control

    Udgivet 2024
    “...This Special Issue highlights and discusses the design and application of fault detection algorithms, the design and application of state estimation methods, the design and application of machine learning algorithms, the analysis of automatic control system characteristics, and the design and application of intelligent control systems. ...”
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  14. Novel Applications of Optical Sensors and Machine Learning in Agricultural Monitoring

    Udgivet 2024
    “...This reprint compiles the latest research on optical sensors and machine learning in agricultural monitoring, including related topics: Machine learning approaches for crop health, growth, and yield monitoring; Combined multisource/multi-sensor data to improve the crop parameters mapping; Crop-related growth models, artificial intelligence models, algorithms, and precision management; Farmland environmental monitoring and management; Ground, air, and space platforms application in precision agriculture; Development and application of field robotics; High-throughput field information survey; Phenological monitoring....”
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