Results 191 to 200 of about 4,423,092 (304)

Machine Learning‐Driven Variability Analysis of Process Parameters for Semiconductor Manufacturing

Advanced Intelligent Systems, EarlyView.
This research presents a machine learning approach that integrates nonlinear variation decomposition (NLVD) with statistical techniques to quantify the contribution of individual unit processes to performance and variance of figure of merit (FoM) at the LOT level.
Sinyeong Kang, Hyeok Yun, Kyeongrae Cho, Seungjoon Eom, Soomin Kim, Seongsoo Jeong, Rockhyun Baek   +6 more
wiley   +1 more source

State capacity and health system financing: a cross-country analysis. [PDF]

BMJ Glob Health
Mazumdar S, Hussain A, Suhrcke M, Barman K, Feil C, Mahmood Z.   +5 more
europepmc   +1 more source

Public Law

Current Legal Problems, 1993
Eric Barendt, Anne Barron, Javan Herberg, Jeffrey Jowell   +3 more
openaire   +1 more source

Rejecting Sovereign Immunity in Public Law Litigation [PDF]

, 2012
Wasserman, Howard M.
core   +2 more sources

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

Public Law

, 2016
Loughlin, Martin, Tschorne, Samuel
openaire   +3 more sources

City Public Health Law [PDF]

Journal of Urban Health: Bulletin of the New York Academy of Medicine, 2002
openaire   +2 more sources

A Flexible and Energy‐Efficient Compute‐in‐Memory Accelerator for Kolmogorov–Arnold Networks

Advanced Intelligent Systems, EarlyView.
This article presents KA‐CIM, a compute‐in‐memory accelerator for Kolmogorov–Arnold Networks (KANs). It enables flexible and efficient computation of arbitrary nonlinear functions through cross‐layer co‐optimization from algorithm to device. KA‐CIM surpasses CPU, ASIC, VMM‐CIM, and prior KAN accelerators by 1–3 orders of magnitude in energy‐delay ...
Chirag Sudarshan, Oliver Artner, Paul‐Philipp Manea, Sebastian Siegel, Susanne Hoffmann‐Eifert, Regina Dittmann, John Paul Strachan   +6 more
wiley   +1 more source

Nature-Based Environment as a Workplace of Forest Therapy Specialist in Healthcare Context: Legal Perspective. [PDF]

Healthcare (Basel)
Tamašauskaitė-Janickė G, Petruševičienė D.   +1 more
europepmc   +1 more source

Comparing the Latent Features of Universal Machine‐Learning Interatomic Potentials

Advanced Intelligent Systems, EarlyView.
This study quantitatively assesses how universal machine‐learning interatomic potentials encode the chemical space into latent features, showing unique model‐specific representations with high cross‐model reconstruction errors. It explores how training datasets, protocols, and targets affect these encodings.
Sofiia Chorna, Davide Tisi, Cesare Malosso, Wei Bin How, Michele Ceriotti, Sanggyu Chong   +5 more
wiley   +1 more source