2.035 hasil untuk machine learning
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Hypergraph Computation
…molecular biology, etc. In the last decade, methods like graph-based learning and neural network methods have been developed to process such data, they are particularly suitable for handling relational learning tasks. In many real-world problems, however, relationships among the objects of our…
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Feature Papers of Forecasting
…scientific literature, from physical models to data-driven statistic and machine learning approaches. In this Special Issue, the most recent and high-quality researches about forecast are collected. A total of nine papers have been selected to represent a wide range of applications, from weather…
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Formatives Assessment auf Basis von maschinellem Lernen
…Basierend auf den Propositionen und den Bewertungen wurden mehrere Machine-Learning-Modelle zur automatischen Auswertung der Propositionen entwickelt, die eine hohe Übereinstimmung mit den menschlichen Bewertungen aufwiesen. In der Folge wurde ein Feedback-Tool entwickelt, welches Lehrkräften und…
Juga tersedia di: DOAB
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Application of Artificial Intelligence in the New Era of Communication Networks
…edge computing, and blockchain using modern artificial intelligence and machine learning techniques. The applications of machine learning in wireless and mobile communication networks have been receiving increasing attention, especially in the new era of big data and the Internet of Things (IoT)…
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Mobile Gait Analysis: From Prototype towards Clinical Grade Wearable
The aim of this thesis is to move mobile gait analysis systems based on inertial sensing closer towards clinical grade wearable devices. Such devices are envisioned to be used in everyday clinical practice for objective gait assessment under supervised conditions as well as for remote monitoring of…
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Artificial Intelligence for Translational Pharmacology
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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Avantgarde Reliability Implications in Civil Engineering
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…
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Back to the Future: On the Road Towards Precision Psychiatry
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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Artificial Neural Networks for IoT-Enabled Smart Applications
…body to be instantly tracked and processed in daily life. The concept of machine learning sensors is applied to the diagnosis of COVID-19 as an IoT application in healthcare and ambient assisted living. Wearable sensors and IoT-enabled technologies also look promising for monitoring motor activity…
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Recent Advances and New Challenges in Coupled Systems and Networks
This Special Issue is in honor of Professor Roderick Melnik, who has pioneered many advanced mathematical models and has significantly contributed to this field over the past few decades. This Reprint is dedicated to the recent advancements, developments, and challenges pertaining to the…
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BEING PROFILED:COGITAS ERGO SUM
Profiling the European citizen: why today's democracy needs to look harder at the negative potential of new technology than at its positive potential.
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Computational Formalism
How the use of machine learning to analyze art images has revived formalism in art history, presenting a golden opportunity for art historians and computer scientists to learn from one another.Though formalism is an essential tool for art historians, much recent art history has focused on the…
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Big Data in Dental Research and Oral Healthcare
Progress in information technology has fostered a global explosion of data generation. Accumulated big data are now estimated to be 4.4 zettabytes in the digital universe; and trends predict an exponential increase in the future. Health data are gathered from professional routine care and other…
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Artificial Intelligence in Pathological Image Analysis
…The advent of WSIs has led to the application of medical image analysis, machine learning, and deep learning approaches for aiding pathologists in inspecting WSIs and routine diagnosis. Deep learning in particular has found a wide array of applications (e.g., classification, segmentation, and…
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Theory and Application of the Information Bottleneck Method
This reprint includes recent works on the information bottleneck method. The articles included range from mathematical analyses of the information bottleneck setup to their practical applications in engineering.
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Big Data and Artificial Intelligence
…implementations. Key topics include enabling technologies such as machine learning, neural networks, natural language processing, AI agents, analytics, and distributed computing. Methodological advancements, strategic frameworks, and models are examined, addressing areas such as sustainable…
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Structural Health Monitoring and Non-destructive Testing for Large-Scale Structures
Structural health monitoring (SHM) and non-destructive testing (NDT) have gained significant importance for civil, mechanical, aerospace, and offshore structures. Nowadays, we can find SHM and NDT applications being used on various structures with very different requirements. However, the practical…
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