Results 231 to 240 of about 127,719 (261)

Efficient hyperparameter estimation in Bayesian inverse problems using sample average approximation. [PDF]

Philos Trans A Math Phys Eng Sci
Chung J, Miller SM, Sabate Landman M, Saibaba AK.   +3 more
europepmc   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

Competitive swarm reinforcement learning improves stability and performance of deep reinforcement learning. [PDF]

Sci Rep
Huang X, Luo W, Li L, Zhang H, Jiang H, Gao X.   +5 more
europepmc   +1 more source

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

Advanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng, Sharon Ai Er Lam, Wei Chun Lim, Hannah Hui Min Toh, Shi Jun Ang   +4 more
wiley   +1 more source

Advanced machine learning techniques for predicting dump slope stability in Indian opencast coal mines. [PDF]

Sci Rep
Sahoo AK, Tripathy DP, Jayanthu S.
europepmc   +1 more source

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

MGWO-CNN: hyperparameter optimization of CNN classifier for cervical cancer detection using Modified Grey Wolf Optimizer. [PDF]

Sci Rep
Jain S, Jain A, Jangid M.
europepmc   +1 more source

Research on Intelligent Control Method of Camber for Medium and Heavy Plate Based on Machine Vision. [PDF]

Materials (Basel)
He C, Yue C, Zhao Z, Wu Z, Jiao Z.
europepmc   +1 more source

A hybrid CNN-transformer framework optimized by Grey Wolf Algorithm for accurate sign language recognition. [PDF]

Sci Rep
Hashi AO, Mohd Hashim SZ, Mirjalili S, Kebande VR, Al-Dhaqm A, Nasser M, A Samah AB.   +6 more
europepmc   +1 more source