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1دورية أكاديمية
المصدر: Advanced Science, Vol 11, Iss 26, Pp n/a-n/a (2024)
مصطلحات موضوعية: batch effects, large‐scale, molecular feature space, reference‐free, single‐cell datasets, Science
وصف الملف: electronic resource
العلاقة: https://doaj.org/toc/2198-3844Test
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2دورية أكاديمية
المؤلفون: Tian Zhang, Hao Sun, Zhenheng Xu, Huanyu Xu, Dan Wu, Jinhua Gao
المصدر: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 8153-8163 (2024)
مصطلحات موضوعية: Backscatter, feature space, forest growing stock volume (GSV), synthetic aperture radar (SAR), water cloud model (WCM), Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809
وصف الملف: electronic resource
العلاقة: https://ieeexplore.ieee.org/document/10495064Test/; https://doaj.org/toc/1939-1404Test; https://doaj.org/toc/2151-1535Test
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3دورية أكاديمية
المؤلفون: Hong Mengmeng, Wang Juanle, Han Baomin
المصدر: International Journal of Digital Earth, Vol 16, Iss 1, Pp 446-463 (2023)
مصطلحات موضوعية: salinization, land degradation, yellow river basin, google earth engine, feature space, sustainable development goals 15, Mathematical geography. Cartography, GA1-1776
وصف الملف: electronic resource
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4دورية أكاديمية
المؤلفون: Bing Guo, Miao Lu, Yewen Fan, Hongwei Wu, Ying Yang, Chenglong Wang
المصدر: Geomatics, Natural Hazards & Risk, Vol 14, Iss 1, Pp 95-116 (2023)
مصطلحات موضوعية: Soil salinization, 3-D feature space, Landsat images, spatial distribution, vegetation index, Environmental technology. Sanitary engineering, TD1-1066, Environmental sciences, GE1-350, Risk in industry. Risk management, HD61
وصف الملف: electronic resource
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5دورية أكاديمية
المؤلفون: Siqing Wang, Li Ma, Liping Yang, Xinyuan Long, Chao Guan, Changming Zhao, Ning Chen
المصدر: Frontiers in Environmental Science, Vol 12 (2024)
مصطلحات موضوعية: Qinghai Lake Basin, desertification, spatial and temporal dynamics, albedo-EVI feature space, remote sensing, vegetation coverage, Environmental sciences, GE1-350
وصف الملف: electronic resource
العلاقة: https://www.frontiersin.org/articles/10.3389/fenvs.2024.1309757/fullTest; https://doaj.org/toc/2296-665XTest
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6دورية أكاديمية
المؤلفون: Marcell T. Kurbucz, Péter Pósfay, Antal Jakovác
المصدر: SoftwareX, Vol 25, Iss , Pp 101623- (2024)
مصطلحات موضوعية: R package, Time series classification, Linear law, Feature space transformation, Artificial intelligence, Computer software, QA76.75-76.765
وصف الملف: electronic resource
العلاقة: http://www.sciencedirect.com/science/article/pii/S2352711023003199Test; https://doaj.org/toc/2352-7110Test
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7دورية أكاديمية
المؤلفون: Javad Shirani, Julio J. Valdes, Alain B. Tchagang, Kirk H. Bevan
مصطلحات موضوعية: Biochemistry, Space Science, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, uniform manifold approximation, underlying binding properties, single atom alloys, semicore level properties, provide significant improvements, predict binding energies, orbital projected density, unrelaxed chemical datasets, catalytic binding energies, employing ml methods, based ml methods, given machine learning, intrinsic feature space, entire pdos distribution, predictive feature space, feature space, machine learning, predictive feature, pdos distribution, intrinsic dimensionality, chemical intuition, catalytic applications, predictive capacity, predictive capability, predictive benefit
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8دورية أكاديمية
المؤلفون: Bing Guo, Rui Zhang, Miao Lu, Mei Xu, Panpan Liu, Longhao Wang
المصدر: Remote Sensing, Vol 16, Iss 10, p 1771 (2024)
مصطلحات موضوعية: KNDVI, feature space, spatiotemporal evolution, desertification, Science
وصف الملف: electronic resource
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9دورية أكاديمية
المؤلفون: Guo Shanyu
المصدر: Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
مصطلحات موضوعية: immersive information technology, signal framing, feature space projection, affective regression modeling, vocal music teaching, 97m80, Mathematics, QA1-939
وصف الملف: electronic resource
العلاقة: https://doaj.org/toc/2444-8656Test
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10دورية أكاديمية
المؤلفون: Kenneth J. Mei, William R. Borrelli, Andy Vong, Benjamin J. Schwartz
مصطلحات موضوعية: Biophysics, Biochemistry, Sociology, Virology, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Physical Sciences not elsewhere classified, Information Systems not elsewhere classified, precise chemical motions, dimensional feature space, phase chemical processes, chemical bond breaking, using machine learning, use machine learning, decoherence provides one, breaking reactions decoherence, requisite photofragment separation, interpreting complex solution, machine learning, phase bond, quantum decoherence, cause decoherence, work highlights, wave function, thus determine, quantum computing, molecular underpinnings, little study, liquid ar, intrinsic limits
الإتاحة: https://doi.org/10.1021/acs.jpclett.3c03474.s001Test
https://figshare.com/articles/journal_contribution/Using_Machine_Learning_to_Understand_the_Causes_of_Quantum_Decoherence_in_Solution-Phase_Bond-Breaking_Reactions/25029758Test