Results 41 to 50 of about 522,455 (311)
Engineering Proceedings, 2023 The use of unmanned aerial vehicles (UAVs) in precision agriculture has proven to be a useful tool for crop monitoring. The use of this technology in irrigation water management represents a significant improvement opportunity compared to the tools ...
Audberto Reyes-Rosas +3 more
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Evaluating Uncertainty-Based Deep Learning Explanations for Prostate Lesion Detection [PDF]
, 2022 Machine Learning for Healthcare Conference -- AUG 05-06, 2022 -- Durham, NCDeep learning has demonstrated impressive accuracy for prostate lesion identification and classification.
Trombley, Christopher M. +5 more
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Machine-learning interatomic potentials for materials science [PDF]
Acta Materialia, 2021 Large-scale atomistic computer simulations of materials rely on interatomic potentials providing computationally efficient predictions of energy and Newtonian forces. Traditional potentials have served in this capacity for over three decades. Recently, a new class of potentials has emerged, which is based on a radically different philosophy.
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Reasoning under uncertainty: Towards collaborative interactive machine learning
, 2022 S.357-376In this paper, we present the current state-of-the-art of decision making (DM) and machine learning (ML) and bridge the two research domains to create an integrated approach of complex problem solving based on human and computational agents.
Büttner, Sebastian +3 more
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Machine-learned potentials for solvation modeling
Journal of Physics: Condensed MatterAbstract Solvent environments play a central role in determining molecular structure, energetics, reactivity, and interfacial phenomena. However, modeling solvation from first principles remains difficult due to the complex interplay of interactions and unfavorable computational scaling of first-principles treatment with system size ...
Roopshree Banchode +3 more
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A Theoretical Study on the Structural Evolution of Ru–Zn Bimetallic Nanoparticles
NanomaterialsRu–Zn catalysts exhibit excellent catalytic performance for the selective hydrogenation of benzene to cyclohexene and has been utilized in industrial production.
Luxin Mu, Jingli Han, Yongpeng Yang
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The Role of Machine Learning in Spine Surgery: The Future Is Now
Frontiers in Surgery, 2020 The recent influx of machine learning centered investigations in the spine surgery literature has led to increased enthusiasm as to the prospect of using artificial intelligence to create clinical decision support tools, optimize postoperative outcomes ...
Michael Chang +8 more
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Journal of Eating Disorders, 2022 Plain English Summary Machine learning models are computer algorithms that learn from data to reach an optimal solution for a problem. These algorithms provide exciting potential for the accurate, accessible, and cost-effective early identification ...
Jasmine Fardouly +2 more
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How to validate machine-learned interatomic potentials
The Journal of Chemical Physics, 2023 Machine learning (ML) approaches enable large-scale atomistic simulations with near-quantum-mechanical accuracy. With the growing availability of these methods, there arises a need for careful validation, particularly for physically agnostic models—that is, for potentials that extract the nature of atomic interactions from reference data.
Morrow, JD, Gardner, JLA, Deringer, VL
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Soft Electronics for Health Monitoring Assisted by Machine Learning
Nano-Micro Letters, 2023 Highlights This review introduces soft electronics for health monitoring assisted by machine learning, and discusses soft materials, physiological signals, and machine learning algorithms in sequence and their relationships.
Yancong Qiao +13 more
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