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511 |
Evaluation of water inrush risk from coal seam floors with an AHP–EWM algorithm and GIS
Enthalten in Environmental earth sciences Bd. 78, 7.5.2019, Nr. 10, date:5.2019: 1-15
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512 |
Evaluation of Water Quality Based on a Machine Learning Algorithm and Water Quality Index for Mid Gangetic Region (South Bihar plain), India
Enthalten in Geological Society of India: Journal of the Geological Society of India Bd. 97, 7.9.2021, Nr. 9, date:9.2021: 1063-1072
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513 |
Evaluation on algorithm reliability and efficiency for an image flame detection technology
Enthalten in Journal of thermal analysis and calorimetry Bd. 148, 10.3.2023, Nr. 11, date:6.2023: 5063-5070
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514 |
Experimental Evaluation of A New Developed Algorithm for An Autonomous Surface Vehicle and Comparison with Simulink Results
Enthalten in China ocean engineering Bd. 33, 6.6.2019, Nr. 3, date:6.2019: 268-278
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515 |
Experimental Evaluation of Fiducial Marker-Based Pose Estimation Algorithm
Enthalten in SN Computer Science Bd. 5, 7.6.2024, Nr. 5, date:6.2024: 1-10
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516 |
Experimental Evaluation of Moth-Flame Optimization Based GMPPT Algorithm for Photovoltaic Systems Subject to Various Operating Conditions
Enthalten in Applied solar energy Bd. 58, 27.10.2022, Nr. 1, date:2.2022: 1-14
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517 |
Experimental evaluation of ride comfort performance for suspension system using PID and fuzzy logic controllers by advanced firefly algorithm
Enthalten in Associação Brasileira de Engenharia e Ciências Mecânicas: Journal of the Brazilian Society of Mechanical Sciences and Engineering Bd. 45, 7.2.2023, Nr. 3, date:3.2023: 1-15
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518 |
Fast substitution-box evaluation algorithm and its efficient masking scheme for block ciphers
Enthalten in Science China / Information sciences Bd. 64, 21.5.2021, Nr. 8, date:8.2021: 1-2
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519 |
Fourteen days free-living evaluation of an open-source algorithm for counting steps in healthy adults with a large variation in physical activity level
Enthalten in BMC biomedical engineering Bd. 5, 14.4.2023, Nr. 1, date:12.2023: 1-7
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520 |
Further evaluation and validation of the VETSCAN IMAGYST: in-clinic feline and canine fecal parasite detection system integrated with a deep learning algorithm
Enthalten in Parasites & vectors Bd. 14, 29.1.2021, Nr. 1, date:12.2021: 1-12
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