Results 201 to 210 of about 30,188 (287)

From data to diagnosis: An innovative approach to epilepsy prediction with CGTNet incorporating spatio-temporal features. [PDF]

PLoS One
Wang D, Li E, Wang Y, Liu Z, Sun A, Wei W, Zhang X, Peng C, Wei F.   +8 more
europepmc   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Reduced order modeling with shallow recurrent decoder networks. [PDF]

Nat Commun
Tomasetto M, Williams JP, Braghin F, Manzoni A, Kutz JN.   +4 more
europepmc   +1 more source

Construction of Hopped-Sparse Code Multiple Access Codebooks Based on Chaotic Bernoulli Frequency-Hopping Sequence [PDF]

Peiyi Zhao, Zhimin Xu, Qi Zeng
openalex   +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

The current landscape of adaptive immune receptor genomic and repertoire data: OGRDB and VDJbase. [PDF]

Nucleic Acids Res
Lees WD, Peres A, Klein V, Amos N, Jana U, Engelbrecht E, Vanwinkle Z, Malach Y, Konstantinovsky T, Polak P, Watson CT, Yaari G.   +11 more
europepmc   +1 more source

On the Design of Variable Modulation and Adaptive Modulation for Uplink Sparse Code Multiple Access [PDF]

Qu Luo, Pei Xiao, Gaojie Chen, Jing Zhu
openalex   +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

Large-scale causal discovery using interventional data sheds light on gene network structure in k562 cells. [PDF]

Nat Commun
Brown BC, Tokolyi A, Morris JA, Lappalainen T, Knowles DA.   +4 more
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