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Physiologically Informed Deep Learning: A Multi-Scale Framework for Next-Generation PBPK Modeling
Liu, Shunqi ; Qiu, Han ; Wang, Tong

Machine Learning Artificial Intelligence Quantitative Methods
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XBTorch: A Unified Framework for Modeling and Co-Design of Crossbar-Based Deep Learning Accelerators
Yousuf, Osama ; Glasmann, Andreu L. ; Lueker-Boden, Martin ; et al.

Emerging Technologies Artificial Intelligence Machine Learning
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Geometric and Topological Deep Learning for Predicting Thermo-mechanical Performance in Cold Spray Deposition Process Modeling
Mishra, Akshansh

Machine Learning Materials Science Artificial Intelligence Computational Engineerin...
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10

Deep Learning-Based Early-Stage IR-Drop Estimation via CNN Surrogate Modeling
Bhadana, Ritesh

Machine Learning Artificial Intelligence Hardware Architecture Image and Video Processi... I.2.6; I.5.1; J.6; I.4.6...
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Turning Time Series into Algebraic Equations: Symbolic Machine Learning for Interpretable Modeling of Chaotic Time Series
Panja, Madhurima ; Younes, Grace ; Chakraborty, Tanujit

Machine Learning Chaotic Dynamics Data Analysis, Statistic...
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Bayesian Modeling of Collatz Stopping Times: A Probabilistic Machine Learning Perspective
Bonacorsi, Nicolò ; Bordoni, Matteo

Machine Learning Probability Statistics Theory Applications 62F15(Primary), 60G40 62... G.3; I.2.6; I.6.8
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Automotive Crash Dynamics Modeling Accelerated with Machine Learning
Nabian, Mohammad Amin ; Chavare, Sudeep ; Akhare, Deepak ; et al.

Machine Learning Artificial Intelligence Numerical Analysis Applied Physics Computational Physics
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