2.035 hasil untuk machine learning
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Intelligent Human Computer Interaction: 9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings
brain computer interface; artificial intelligence; computer networks; classification databases; HCI machine learning; signal processing; user interfaces
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Security Risk Management for the Internet of Things
…based on the edge/fog computing paradigm. It also highlights machine learning techniques that boost the automation and proactiveness of IoT security risk assessments. Furthermore, blockchain solutions for open and transparent sharing of IoT security information across the supply chain are…
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Tennis Motion Recognition. Design of Classification Approaches and Experimental Studies
This monograph presents studies concerning the challenging topic of Human Action Recognition, which has recently become of increasing importance to those working in the field of Computer Vision. It contains an overview of the research literature on tennis movements recognition based on video…
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Use of Accessible Information to Improve Industrial Security Testing
Industrial systems face increasing threats, particularly through network-connected Operational Technology (OT) components such as controllers and actuators. These components rely on standard internet protocols, making strong security essential. However, existing blackbox testing tools, crucial for…
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Artificial Intelligence in Fault Diagnosis and Signal Processing
The aim of this reprint is to immerse the reader in the latest technological approaches employed in the detection and diagnosis of faults in industrial processes. As the early detection of faults avoids damage that may be irreparable to machinery, reducing the performance of the control system and…
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Advances in Artificial Intelligence
The present book contains all the articles accepted and published in the Special Issue “Advances in Artificial Intelligence: Models, Optimization, and Machine Learning, 2nd Edition” of the MDPI Mathematics journal. The content of this Special Issue encompasses a diverse array of topics related to…
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Artificial Intelligence in Medical Imaging: The Beginning of a New Era
Artificial intelligence is a term that refers to the ability to provide machines with human intelligence. In medicine it is becoming widely used. It finds application especially in the diagnostic and tumor fields. It is not yet able to replace the human brain, but several studies show how its…
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Pattern Recognition
Pattern recognition, despite its relatively short history, has already found practical application in many areas of human activity. Systems of pattern recognition usually support people in performing tasks related to ensuring security, including access to premises and devices, detection of unusual…
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Artificial Neural Networks
…advances in the area to the reader interested in this always-evolving machine learning technique.
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Advances in Cerebral Aneurysm Treatment
…New technologies that can help identify the most suitable therapy include machine learning algorithms to process big data, robotic applications for interventional procedures, and dynamic vascular flow models. Different biological and epidemiological parameters have been delineated as prognostic…
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Applied and Computational Mathematics for Digital Environments, 2nd Edition
…The application of mathematical models, Internet of Things technologies, machine learning, and artificial intelligence for big data analysis of digital environments; 4. Mathematical models and algorithms for identifying stable patterns between the parameters of digital environments and their…
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Computational Approaches for Human-Human and Human-Robot Social Interactions
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from…
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Large-Scale Pattern-Based Information Extraction from the World Wide Web
Extracting information from text is the task of obtaining structured, machine-processable facts from information that is mentioned in an unstructured manner. It thus allows systems to automatically aggregate information for further analysis, efficient retrieval, automatic validation, or appropriate…
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Statystyczne metody klasyfikacji tekstów
…information retrieval, text correcting, determining text subject, machine text translation, creating lexicons, determining text sentiment. https://pl.wikipedia.org/wiki/Język_angielskiThis monograph is focused on sentiment analysis in the most popular meaning of this phrase i.e. on the sentiment of…
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Type 2 Diabetes
Diabetes mellitus is a metabolic disease characterized by chronic high blood glucose levels. Of the various types of diabetes, type 2 diabetes is increasing in prevalence due to obesity, aging, sedentarism, and other factors. This book presents a novel approach to preventing and treating type 2…
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Digital Healthcare Technologies - Innovative Technologies and Changing Processes
Digital transformation is a defining force reshaping contemporary healthcare systems. The convergence of technologies like AI and IoT is not merely improving efficiency but redefining how medicine, data, and decisionmaking interact. Through a multidisciplinary lens, this book brings together…
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Navigating Artificial Intelligence for Cultural Heritage Organisations
The question of how artificial intelligence and machine learning should be applied to data in libraries and other cultural institutions is a challenge shared by heritage professionals, computer scientists and digital humanities scholars. As the number of digitised and born-digital records grows…
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Grid-to-Vehicle (G2V) and Vehicle-to-Grid (V2G) Technologies
This Special Issue “Grid-to-Vehicle (G2V) and Vehicle-to-Grid (V2G) Technologies” was in session from 1 May 2019 to 31 May 2020. For this Special issue, we invited articles on current state-of-the-art technologies and solutions in G2V and V2G, including but not limited to the operation and control…
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Intelligence Techniques Applied in Infrastructure, Engineering and Construction
…Together they capture the rapid transition of artificial intelligence, machine learning, and data-centric analytics from research prototypes to indispensable tools across the infrastructure lifecycle. The contributions address underground excavation, bridge and tunnel risk governance…
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Human-Inspired Balancing and Recovery Stepping for Humanoid Robots
…generation, leveraging human examples and simulation-based reinforcement learning.
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