Результати пошуку - machine learning (algorithm OR algorithms)
Рекомендовані теми у межах Вашого пошуку.
Рекомендовані теми у межах Вашого пошуку.
- machine learning 350
- n/a 233
- deep learning 206
- thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology 149
- thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues 138
- artificial intelligence 126
- thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general 99
- convolutional neural network 78
- classification 74
- optimization 68
- thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries 61
- genetic algorithm 58
- transfer learning 58
- neural networks 54
- thema EDItEUR::U Computing and Information Technology::UY Computer science 54
- remote sensing 52
- neural network 51
- artificial neural network 48
- computer vision 47
- convolutional neural networks 47
- thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence 47
- random forest 45
- CNN 41
- simulation 40
- feature selection 39
- image processing 38
- COVID-19 37
- big data 37
- support vector machine 37
- feature extraction 36
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Spectral Feature Selection for Data Mining
Опубліковано 2025Предмети: “...machine learning...”
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KI-unterstützte hybride Modellierung von Emissionen im hochtransienten Motorbetrieb
Опубліковано 2025Предмети: “...thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning...”
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Resourceful ageing
Опубліковано 2025“...The results offer the reader a categorized set of strategies for supporting resourcefulness in older people’s everyday lives; methodological considerations on algorithmic design practices and the role of machine learning in support of improvisation; and, relevant design tools and techniques. ...”
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Federated Learning
Опубліковано 2025“...Federated Learning (FL) represents a transformative leap in distributed machine learning by enabling multiple clients to collaboratively solve complex tasks without compromising data privacy. ...”
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INTELLIGENT CYBER DEFENCE SYSTEMS: DETECTION OF RANSOMWARE AND PROTECTION OF WIRELESS NETWORKS BASED ON ARTIFICIAL INTELLIGENCE TECHNOLOGIES
Опубліковано 2025“...The first part of the monograph explores methods for detecting and countering ransomware viruses in real time using eBPF technology and machine learning models. An innovative model of an integrated data collection system is presented, combining monitoring of system calls, file and cryptographic activity with network traffic analysis. ...”
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Maritime Cybersecurity
Опубліковано 2025“...The authors present mechanisms for early detection and prevention of cyber-attacks, as well as security protocols based on testbed nautical simulator experiments, machine learning algorithms and artificial intelligence applications. ...”
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Entropy in Machine Learning Applications
Опубліковано 2025“...The aim of this reprint is to inform readers of the latest developments in methods and applications of machine learning and deep learning in certain fields, including the following: a semantically enhanced social network user alignment algorithm to perform user alignment; a congestion control mechanism based on deep reinforcement learning; problem solving involving low-accuracy, large-entropy perturbation; information loss in the calculation process of fault feature parameters of rolling bearing; a hybrid recommendation model combining autoencoder and latent feature analysis techniques; extracting knowledge from published papers and reports on drilling to guide the control of wells; an improved binary golden jackal optimization algorithm; water quality prediction based on machine learning and comprehensive weighting methods; redundancy of crossentropy calculation in deep learning of classifiers; automatic vertebral rotation angle measurement of vertebrae using an improved transformer network; defining suitable graph contrastive learning through applications of graph information bottlenecks and structural entropy theories; and a comprehensive examination of the latest advancements in deep learning methodologies. ...”
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Application of Artificial Neural Network in Agriculture
Опубліковано 2025Предмети: “...machine learning...”
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Advances in Intelligent Data Analysis and Its Applications, 2nd Edition
Опубліковано 2025“...Topics span a broad spectrum, including advanced data mining algorithms, machine learning integration, natural language processing innovations, granular computing frameworks, cognitive computing techniques, and hybrid approaches. ...”
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Scheduling Theory and Algorithms for Sustainable Manufacturing
Опубліковано 2025Предмети: “...machine learning...”
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Intelligent Agricultural Machinery and Robots
Опубліковано 2025Предмети: “...machine learning...”
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Innovative Material Design and Nondestructive Testing Applications for Infrastructure Materials
Опубліковано 2025Предмети: “...machine learning algorithms...”
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Advances in Measurement and Data Analysis of Surfaces with Functionalized Coatings
Опубліковано 2025Предмети: “...machine learning algorithms...”
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Advances in Artificial Intelligence
Опубліковано 2025Предмети: “...machine learning...”
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Artificial Intelligence in Image-Based Screening, Diagnostics, and Clinical Care
Опубліковано 2025“...This integration is crucial as the global healthcare industry strives to enhance accuracy, efficiency, and accessibility. AI and machine learning (ML) extend far beyond simple automation, ushering in an era of precision medicine with diagnostics and treatments tailored to individual patients. ...”
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Medical Data Processing and Analysis
Опубліковано 2025Предмети: “...machine learning...”
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Computational Intelligence and Human–Computer Interaction
Опубліковано 2025Предмети: “...machine learning...”
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The Application of Spectral Techniques in Agriculture and Forestry
Опубліковано 2025“...This Special Issue compiles 12 groundbreaking studies that advance spectral analysis technologies through interdisciplinary integration with machine learning. By synergizing remote sensing data and intelligent algorithms, the featured research establishes multidimensional monitoring frameworks spanning crop phenotyping to ecosystem assessment. ...”
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Robust Motion Recognition Based on Sensor Technology
Опубліковано 2025“...This Special Issue covers a wide range of topics, including signal processing techniques, architectures, learning algorithms, intelligent sensing systems, wearable sensors, machine/deep learning and artificial intelligence in sensing and imaging, and their application for motion modeling and recognition....”
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Advances in Robot Path Planning, Volume II
Опубліковано 2025Предмети: “...machine learning...”
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