Søgeresultater - learning (algorithm OR algorithms)

Advances and Novel Approaches in Discrete Optimization

Fag: “...approximation algorithm...”
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Applied Neural Networks and Fuzzy Logic in Power Electronics, Motor Drives, Renewable Energy Systems and Smart Grids

Fag: “...non-dominated sorting genetic algorithm II...”
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Smart Monitoring and Control in the Future Internet of Things

Fag: “...machine learning...”
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Mathematics and Engineering

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Sensors, Signal and Image Processing in Biomedicine and Assisted Living

Fag: “...genetic algorithm...”
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Advances in Remote Sensing-based Disaster Monitoring and Assessment

Fag: “...threshold-based algorithm...”
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Computer-Aided Manufacturing and Design

Fag: “...gradient-based algorithm...”
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Artificial Intelligence Applications to Smart City and Smart Enterprise

Fag: “...Bacterial Foraging algorithm...”
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Big Data Computing for Geospatial Applications

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Intelligent Vehicles

Fag: “...transfer learning...”
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Renewable Energy Resource Assessment and Forecasting

Fag: “...shark algorithm...”
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Applications of Remote Image Capture System in Agriculture

Fag: “...machine learning algorithms...”
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Evolutionary Algorithms in Intelligent Systems

Fag: “...evolutionary algorithms...”
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Computational Mathematics, Algorithms, and Data Processing

“...“Computational Mathematics, Algorithms, and Data Processing” of MDPI consists of articles on new mathematical tools and numerical methods for computational problems. ...”
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Machine Learning for Energy Systems

Fag: “...extreme learning machine...”
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Future Powertrain Technologies

Fag: “...ensemble learning...”
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Nonsmooth Optimization in Honor of the 60th Birthday of Adil M. Bagirov

Fag: “...multiple instance learning...”
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Architecture and Engineering

Fag: “...genetic algorithms...”
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Chapter Quality of Information within Internet of Things Data af Tomás, Alcañiz, Aurora, González-Vidal, P. Ramallo, Alfonso, F. Skarmeta, Antonio

“...Statistical analysis, machine learning algorithms, and contextual information are some of the methods to create quality indicators. ...”
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Chapter Deep Learning Training and Benchmarks for Earth Observation Images: Data Sets, Features, and Procedures af Schwarz, Gottfried, Octavian Dumitru, Corneliu, Datcu, Mihai

“...The corresponding test and validation data sets are an integral part of the learning process and also of the algorithm performance evaluation. ...”
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