Results 51 to 60 of about 5,693,469 (294)
Computer Methods and Programs in Biomedicine UpdateBackground:: In 2017, Lundberg and Lee introduced SHAP, a breakthrough in Explainable AI, creatively applying the Shapley value to estimate the importance of input features in machine learning outputs.
Giang Pham, Paolo Milazzo
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Frontiers in Energy Research, 2022 To meet the carbon neutralization goal and renewable energy development, it is of great significance to promote the construction of gas-fired power generation for power peak shaving.
Shuquan Zhang +4 more
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Advanced Materials, EarlyView.Using 640 curated electrolyte formulations, we apply data‐driven analysis to reveal how molecular features govern coulombic efficiency (CE) in lithium metal batteries. Fluorine content correlates positively with CE, while oxygen, carbon, and higher boiling points correlate negatively.
Minh Van Duong +6 more
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A linear approximation method for the Shapley value [PDF]
, 2008 The Shapley value is a key solution concept for coalitional games in general and voting games in particular. Its main advantage is that it provides a unique and fair solution, but its main drawback is the complexity of computing it (e.g for voting games ...
Fatima, Shaheen S +4 more
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Advanced Robotics Research, EarlyView.This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Hybrid Approach of DEA and Game Theory in Order to Rank the Effectiveness of BSC Indicators in Efficiency Evaluation of Organization (The Case: Media Industry) [PDF]
Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, 2016 Data Envelopment Analysis and Balanced Scorecard, are two common tools that have been used by many researchers for performance evaluation. But none of them investigate effectiveness of BSC indicators in efficiency evaluation. Due to complexity of mission
Alireza Alinezhad, seyed reza Zamani
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Time History Gaussian Process Regression for Modeling the Dynamics of Ankle Exoskeleton User Comfort
Advanced Robotics Research, EarlyView.Exoskeletons need to be comfortable, but the perception of comfort may change over time. This study investigated if short‐term time history directly influences comfort. No previous trials’ input features were predictive of comfort. Including the previous trial's comfort score marginally improved model accuracy compared to a model using only the current
Axl Maberry, Bo Cheng, Anne E. Martin
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ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
Advanced Science, EarlyView.The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
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The Axiomatic Characterization of the Grey Shapley Value
AxiomsOne of the most significant solution concepts in cooperative grey game theory is the grey Shapley value. This value is a fascinating one among the models and methods of operations research, and has been the subject of extensive study by other researchers.
Mehmet Gençtürk +2 more
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Interpretable wind power probabilistic prediction based on NGBoost
Zhejiang dianli, 2023 To realize the probabilistic prediction of wind power and analyze the influencing factors of the prediction results， this paper proposes a probabilistic prediction method of wind power based on natural gradient boosting （NGBoost） and takes account of ...
LI Bingsheng +2 more
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