503 hasil untuk machine learning
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Industrial Artificial Intelligence Technologies and Applications
…across different industrial sectors. New AI techniques such as embedded machine learning (ML) and deep learning (DL), capture edge data, employ AI models, and deploy these in hardware target edge devices, from ultra-low-power microcontrollers to embedded devices, gateways, and on-premises servers…
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Literature and Computation
…ways. While such new directions involve more and more sophisticated machine learning and artificial intelligence, they also mark a spectacular return of the (trans)human(istic) and of traditional-modern literary or urgent political, gender, and minority-related concerns and modes now addressed in…
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Chapter Reimagining Translation Anthologies
…ways. While such new directions involve more and more sophisticated machine learning and artificial intelligence, they also mark a spectacular return of the (trans)human(istic) and of traditional-modern literary or urgent political, gender, and minority-related concerns and modes now addressed in…
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Precision agriculture '25
…now in use in agriculture are generating 'Big Data' leading to the use of machine learning and Al - an increasing challenge for agriculture. Research continues to be necessary and needs to be reported and disseminated to a wide audience. The broad range of research topics reported will be a…
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Chapter Introduction
…ways. While such new directions involve more and more sophisticated machine learning and artificial intelligence, they also mark a spectacular return of the (trans)human(istic) and of traditional-modern literary or urgent political, gender, and minority-related concerns and modes now addressed in…
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Management and Visualisation
…is made for visual management as a method of communications, planning, learning and reporting that connects the organisation in a single, meaningful and seamless way. Throughout this book, visual management is theorised around the position that all forms of management documentation are an artefact…
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Urban Informatics
…from various kinds of urban remote sensing to new approaches to machine learning and statistical modelling. It provides a detailed technical introduction to the wide array of tools information scientists need to develop the key urban analytics that are fundamental to learning about the smart city…
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Big Data and Artificial Intelligence in Digital Finance
This open access book presents how cutting-edge digital technologies like Big Data, Machine Learning, Artificial Intelligence (AI), and Blockchain are set to disrupt the financial sector. The book illustrates how recent advances in these technologies facilitate banks, FinTech, and financial…
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Chapter 1 Introduction
…The contributions discuss hybrid warfare, cyber and influence activities, machine learning and artificial intelligence, the use of armed drones and air power, the implications of the counterinsurgency experiences in Iraq, Afghanistan and Syria, as well as the consequences for law(fare) and decision…
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The Routledge International Handbook of Stuttering
…genetics, epidemiology, speech-motor control, language effects, machine learning, disability studies, treatment options and assessment. Featuring the work of a diverse range of specialist authors from around the globe, this book discusses psychological, neuroscientific and medical aspects of…
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Chapter Subcortical Sensorimotor Activity In Stuttered and Non-stuttered Speech
…genetics, epidemiology, speech-motor control, language effects, machine learning, disability studies, treatment options and assessment. Featuring the work of a diverse range of specialist authors from around the globe, this book discusses psychological, neuroscientific and medical aspects of…
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Chapter 19 Conclusion
…The contributions discuss hybrid warfare, cyber and influence activities, machine learning and artificial intelligence, the use of armed drones and air power, the implications of the counterinsurgency experiences in Iraq, Afghanistan and Syria, as well as the consequences for law(fare) and decision…
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Chapter Disability and Neurodiversity
…genetics, epidemiology, speech-motor control, language effects, machine learning, disability studies, treatment options and assessment. Featuring the work of a diverse range of specialist authors from around the globe, this book discusses psychological, neuroscientific and medical aspects of…
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Data Mining in MRO
…MRO data, flight data and external data, and used statistical and machine learning methods to visualize, analyse and predict maintenance. They also used the individual case studies to make predictions about the duration and costs of planned maintenance tasks, turnaround time and useful life of…
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Obstructions in Security-Aware Business Processes
…and language-based research, as well as the analysis of event data and machine learning methods finally lead to the development of algorithms and experiments that can detect and resolve obstructions and are reproducible with the provided software.
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Maritime Cybersecurity
…as security protocols based on testbed nautical simulator experiments, machine learning algorithms and artificial intelligence applications. This collection of research articles addresses the ethical, societal and technical aspects of maritime cybersecurity and offers solutions to mitigate the…
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Chapter 2 Strategic underperformance
…The contributions discuss hybrid warfare, cyber and influence activities, machine learning and artificial intelligence, the use of armed drones and air power, the implications of the counterinsurgency experiences in Iraq, Afghanistan and Syria, as well as the consequences for law(fare) and decision…
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Word Knowledge and Word Usage
…across psycho-linguistic and cognitive evidence, principles of machine learning and integrative brain models of word storage and processing. Main goal of the book will be to map out the landscape of future research in this area, to foster the development of interdisciplinary curricula and help…
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Managing Distributed Cloud Applications and Infrastructure
…provisioning for distributed clouds and discusses how data analytics and machine learning, application and infrastructure optimization, and simulation can deliver quality of service requirements cost-efficiently in this complex feature space. These are illustrated through a series of case studies…
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The Conduct of War in the 21st Century
…The contributions discuss hybrid warfare, cyber and influence activities, machine learning and artificial intelligence, the use of armed drones and air power, the implications of the counterinsurgency experiences in Iraq, Afghanistan and Syria, as well as the consequences for law(fare) and decision…