Výsledky vyhledávání - parameterized resource code patterns
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Zdroj: Sci Rep
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)Témata: FOS: Computer and information sciences, Artificial intelligence, Environmental Engineering, Computer Science - Artificial Intelligence, Science, Computer Vision and Pattern Recognition (cs.CV), Health, Toxicology and Mutagenesis, Population, Resource (disambiguation), Computer Science - Computer Vision and Pattern Recognition, Convolutional neural network, 02 engineering and technology, Health Effects of Air Pollution, Impact of COVID-19 on Global Environment, Pattern recognition (psychology), 01 natural sciences, Article, Air Quality, Low-Cost Air Quality Monitoring Systems, Meteorology, Sociology, 11. Sustainability, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Data mining, 0105 earth and related environmental sciences, Demography, Global and Planetary Change, Computer network, Geography, FOS: Environmental engineering, Air Quality Monitoring, Deep learning, Computer science, Air quality index, FOS: Sociology, Algorithm, World Wide Web, Parameterized complexity, Artificial Intelligence (cs.AI), 13. Climate action, Environmental Science, Physical Sciences, Medicine, Index (typography)
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Zdroj: Hydrology & Earth System Sciences; 2025, Vol. 29 Issue 22, p6735-6760, 26p
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Zdroj: Hydrology & Earth System Sciences; 2025, Vol. 29 Issue 23, p7127-7147, 21p
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Zdroj: Water (20734441); Jan2026, Vol. 18 Issue 1, p85, 18p
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Zdroj: Nature Machine Intelligence; Nov2025, Vol. 7 Issue 11, p1804-1822, 19p
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Zdroj: Journal of Imaging; Oct2025, Vol. 11 Issue 10, p349, 16p
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Zdroj: Movement Ecology. 6/21/2025, Vol. 13 Issue 1, p1-10. 10p.
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Zdroj: Water (20734441); Dec2025, Vol. 17 Issue 23, p3412, 22p
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Zdroj: Water Resources Research; Dec2025, Vol. 61 Issue 12, p1-28, 28p
Témata: CLIMATE change, HYDROLOGY, WATERSHEDS, GLACIATION, FROZEN ground, WATER supply, ENVIRONMENTAL history
Geografický termín: ARCTIC regions, CANADA, MACKENZIE River (N.W.T.)
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Zdroj: Movement Ecology. 7/31/2024, Vol. 12 Issue 1, p1-16. 16p.
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Zdroj: Water Resources Research; Oct2025, Vol. 61 Issue 10, p1-19, 19p
Témata: MACHINE learning, CLIMATE change, EMPIRICAL research, PHASE space, WATERSHEDS, GROUNDWATER flow, HYDROLOGIC models
Geografický termín: UNITED States
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Zdroj: ACM Transactions on Software Engineering & Methodology; Mar2024, Vol. 33 Issue 3, p1-32, 32p
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Zdroj: Frontiers in Neuroinformatics; 2025, p1-21, 21p
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Zdroj: Biomedical Engineering: Applications, Basis & Communications; Oct2025, Vol. 37 Issue 5, p1-28, 28p
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Zdroj: Water Resources Research; Oct2025, Vol. 61 Issue 10, p1-26, 26p
Témata: HYDROLOGIC models, GROUNDWATER flow, MACHINE learning, METEOROLOGICAL precipitation analysis, SOIL permeability, WATER management, ARID regions, STEADY-state flow
Geografický termín: UNITED States, WEST (U.S.)
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Zdroj: Water Resources Research; Sep2025, Vol. 61 Issue 9, p1-23, 23p
Témata: BAYESIAN analysis, HYDROLOGIC models, PRECIPITATION variability, WATER management, STREAMFLOW, UNCERTAINTY (Information theory), STOCHASTIC models
Geografický termín: AUSTRALIA
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Zdroj: Water Resources Research; Aug2025, Vol. 61 Issue 8, p1-21, 21p
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Zdroj: ACM Transactions on Software Engineering & Methodology; Nov2024, Vol. 33 Issue 8, p1-27, 27p
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Zdroj: Lecture Notes in Computer Science ISBN: 9783030585259
Témata: FOS: Computer and information sciences, 03 medical and health sciences, 0302 clinical medicine, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
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Zdroj: Water Resources Research; Sep2025, Vol. 61 Issue 9, p1-18, 18p
Témata: STREAMFLOW, HYDROLOGY, SEASONS, RIVER ecology, CLIMATE change, BAYESIAN field theory, HYDROLOGIC models
Geografický termín: PACIFIC Northwest, UNITED States
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