2,035 results for machine learning
Showing 661–680 · 0.36 seconds · RSS
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Knowledge Engineering and Data Mining
…methods, multidimensional data analysis, supervised and unsupervised learning methods, methods of knowledge-based management, language ontologies, ontology learning, and others.
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Biomolecular Data Science—in Honor of Professor Philip E. Bourne
This reprint includes 14 articles in Biomedical Data Science in honor of Professor Philip Bourne. Contributed by world-renowned experts, these articles cover a broad range of topics in machine learning, biophysics, bioinformatics, and systems biology.
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Artificial Intelligence Applications and Innovation
The idea of an intelligent machine has fascinated humans for centuries. Intelligence can be defined as the capacity for learning, reasoning, understanding, or the aptitude for grasping truths, relationships, facts, or meanings. Any of these perspectives requires the capacity to acquire data from…
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Steady-State Operation, Disturbed Operation and Protection of Power Networks
This Special Issue presents the latest state-of-the-art research on solid fuels technology with dedicated, focused research papers. There are a variety of topics to choose from among the seven published re-search works to bring you up to date with the current trends in academia and industry.
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Computer Aided Diagnosis Sensors
…and automated computer-aided diagnosis by focusing on the different machine learning algorithms that can be used for this purpose as well as novel applications in the medical field.
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Computational Linguistics and Natural Language Processing
…legends, or science fiction, distinguish between human-written or machine-generated texts, and diagnose neuropsychiatric diseases. The Lindenmayer system and other higher-order logical representations have been used to describe complex linguistic phenomena and better communicate with chatbots…
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Disruptive Trends in Automation Technology
…practices in the automation domain. For example, reinforcement learning is emerging as an alternative technology for industrial process control and optimization, and machine learning is heavily applied to fault diagnostic and predictive maintenance. Real-time connectivity, cloudification, big data…
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Artificial Intelligence in Image-Based Screening, Diagnostics, and Clinical Care of Cardiopulmonary Diseases
…used in screening and diagnosis. Research on using image-based AI and machine learning (ML) methods can help in rapid assessment, serve as surrogates for expert assessment, and reduce variability in human performance. In this Special Issue, “Artificial Intelligence in Image-Based Screening…
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Integration and Control of Distributed Renewable Energy Resources
The deployment of distributed renewable energy resources (DRERs) has accelerated globally due to environmental concerns and an increasing demand for electricity. DRERs are considered to be solutions to some of the current challenges related to power grids, such as reliability, resilience…
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Algorithms in Decision Support Systems
…radar emitter identification method based on semi-supervised and transfer learning; 3) design limitations, errors, and hazards in creating very large-scale DSSs; and 4) efficient rule generation for associative classification. We hope you enjoy all the contents in the book.
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Computational Modeling and Simulation of Solids and Structures: Recent Advances and Practical Applications
Computational modeling and simulation are essential to solid and structural mechanics. They have not only covered entire engineering fields (civil, aerospace, mechanical, etc.) but also various scales (from nano to macro) and physics (mono- and multiphysics). Recently, they have been found to be…
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Slow Electronics with Reservoir Computing
…reservoir computing with a spiking neural network (SNN) to simulate the learning and inference of the brain. The integration of slow electronics with SNN reservoir computing allows for real-time data processing in edge environments without an internet connection. This will reveal the determinism or…
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Chapter 4 Data System and Data Management in a Federation of HPC/ Cloud Centers
Artificial Intelligence, Deep Learning, Machine Learning, Supercomputing
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HPC, Big Data, and AI Convergence Towards Exascale
Artificial Intelligence, Deep Learning, Machine Learning, Supercomputing
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Artificial Intelligence and Sustainable Energy Systems
This topic has been successfully completed. A total of 180 scientific articles were sent, of which 66 have been accepted for publication. These 66 articles are published in reprint.
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Chapter 2 The LEXIS Platform for Distributed Workflow Execution and Data Management
Artificial Intelligence, Deep Learning, Machine Learning, Supercomputing
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Research in Metabolomics via Nuclear Magnetic Resonance Spectroscopy: Data Mining, Biochemistry and Clinical Chemistry
Metabolomics entails the comprehensive characterization of the ensemble of endogenous and exogenous metabolites present in a biological specimen. Metabolites represent, at the same time, the downstream output of the genome and the upstream input from various external factors, such as the…
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Bridging the Gap Between AI and Reality
…may allow certain levels of assistance; and education in times of deep learning.
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