Results 181 to 190 of about 9,225,172 (345)
Integrative and mind-body approaches to law enforcement professional wellness. [PDF]
Eitzen J +3 more
europepmc +1 more source
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source
Regulation and criminal law enforcement in healthcare: an uneasy alliance or partners in crime? [PDF]
Amelink Q, Weenink JW, Leistikow I.
europepmc +1 more source
Kansas Governor's Commission on Law Enforcement Standards and Training : Final Report [1980]
"October 28, 1980"--Cover letter.Governor's Commission On Law Enforcement Standards And Training -- Commission Members And Organization Represented -- Dear Governor Carlin -- Governor's Commission On Law Enforcement Standards And Training -- Summary Of ...
Kansas Governor's Commission on Law Enforcement Standards and Training
core
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu +11 more
wiley +1 more source
Role of law enforcement agencies in suicide prevention: A scoping review. [PDF]
Jain N +4 more
europepmc +1 more source
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
Development of police law enforcement psychological ability scale and test of reliability and validity. [PDF]
Feng Y, Chen C, Li S.
europepmc +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
A volatile‐switching compact model of electrochemical metallization memory cells for neuromorphic architecture is developed and validated by reliable reproduction of device characterization measurements: I−V sweeps, SET kinetics, relaxation dynamics.
Rana Walied Ahmad +4 more
wiley +1 more source

