Rezultati - machine learning (algorithm OR algorithms)
Priporočene teme znotraj vašega iskanja.
Priporočene teme znotraj vašega iskanja.
- 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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Human Activity Recognition in Daily Life and Sports Using Inertial Sensors
Izdano 2025“...Currently available tools for HAR often rely on questionnaires which involve problems in the reliability when recalling activities. In this thesis, algorithms for HAR are introduced and evaluated which apply machine learning techniques to inertial sensor data. ...”
Polni tekst
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IMMU-based Orientation Determination in Sports Analytics
Izdano 2025“...In snowboarding and skateboarding, the board orientation is calculated and processed for motion visualization and machine learning. Board sport tricks are automatically detected and subsequently classified for trick category and type. ...”
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Cyclic motion analysis using inertial sensors and machine learning
Izdano 2025“...The aim of this thesis is to capture cyclic motion using inertial sensors and subsequently analyse them using machine learning techniques. A lack of realistic and annotated data currently limits the development and application of algorithms for inertial sensors under non-laboratory conditions. ...”
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Physically Inspired Predistortion of RF Power Amplifiers with Artificial Neural Networks
Izdano 2025“...These effects can be analyzed and mathematically described to build a specific digital signal processing algorithm, which mitigates certain effects. This work treats impairments from machine learning perspective. ...”
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Quantum Computing from Hopfield Nets
Izdano 2025Teme: “...Quantum Machine Learning...”
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International Financial Markets and Volatility: Economic, Geopolitical, and Technological Perspectives
Izdano 2025“...It bridges critical gaps in the literature through case studies on the BIST 100 index, BRICS-T economies, and precious met-als, supported by novel methodological innovations such as machine learning techniques (DBSCAN), multivariate GARCH models, and re-gime-switching approaches. ...”
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Application of Machine Learning and Optimization Methods in Engineering Mathematics
Izdano 2026Teme: “...twin extreme learning machine...”
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Artificial Intelligence for Fault Detection and Diagnosis
Izdano 2026Teme: “...machine learning...”
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Data-Driven Intelligent Modeling and Optimization Algorithms for Industrial Processes
Izdano 2026Teme: “...machine learning algorithms...”
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Theory and Applications of Fuzzy Systems and Neural Networks
Izdano 2026“...Fuzzy systems and neural networks complement each other and can be combined with other computational and artificial intelligence-based techniques, such as evolutionary algorithms and machine learning, to solve complex real-world problems. ...”
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Viral Replication and Production
Izdano 2026“...Similarly, the design and development of various innovative artificial intelligence (AI) tools and machine learning (ML) algorithms have paved the way for elucidating viral replication, transcription, and host invasion mechanisms in great detail. ...”
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Emotions in Code
Izdano 2026“...Addressing this urgent need, the book provides: • A layered exploration of sentiment analysis, from paradoxical challenges to emerging “empathy” algorithms. • A look at the machine learning methods behind emotional recognition in language, voice, and behavior. • Case studies and insights from across the globe, spanning media, healthcare, finance, and more. • Reflections on the ethical stakes of emotional AI—what it means for trust, communication, and the human experience. ...”
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Inteligencia Artificial Aplicada con técnicas de Procesamiento de Lenguaje Natural y Machine Learning en el campo de la salud.
Izdano 2026“...With these data, a textual classification system was trained using the Support Vector Machine and Random Forest algorithms. The study resulted in an accuracy of 96% in both models, demonstrating their viability for the creation and implementation of text classifiers. ...”
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Inteligencia Artificial Aplicada a Procesamiento de Lenguaje Natural (NLP) con Python y Machine Learning.
Izdano 2026“...This book reflects the work done under research between teachers and researchers with the aim of being useful to the reader, the use of predictions when training a classified text algorithm in natural language processing (NLP) based on machine learning. ...”
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Charting the Intelligence Frontiers – Edge AI Systems Nexus
Izdano 2026“...The numerous chapters describe novel solutions and rigorous investigations spanning verification and validation, federated learning, neuromorphic design, scalable architectures, sensor fusion, and human–machine collaboration, each chapter demonstrating the innovation wave fuelling Europe's edge AI landscape. ...”
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Inteligencia artificial generativa en la educación superior: Análisis empírico y modelado predictivo con Python
Izdano 2026“...Data analysis combined descriptive and inferential statistics with machine learning techniques in Python, including the K-Means clustering algorithm for profile segmentation and classification models such as Random Forest for prediction. ...”
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Charting the Intelligence Frontiers – Edge AI Systems Nexus
Izdano 2026“...The numerous chapters describe novel solutions and rigorous investigations spanning verification and validation, federated learning, neuromorphic design, scalable architectures, sensor fusion, and human–machine collaboration, each chapter demonstrating the innovation wave fuelling Europe's edge AI landscape. ...”
Polni tekst
Online