Results 181 to 190 of about 109,092 (251)

Image steganalysis using active learning and hyperparameter optimization. [PDF]

Sci Rep
Bohang L, Li N, Yang J, Alfarraj O, Albelhai F, Tolba A, Shaikh ZA, Alizadehsani R, Pławiak P, Yee PL.   +9 more
europepmc   +1 more source

Hyperparameter Optimization Techniques for Designing Software Sensors Based on Artificial Neural Networks. [PDF]

Sensors (Basel), 2021
Blume S, Benedens T, Schramm D.
europepmc   +1 more source

Neural Network‐Based Permittivity Engineering of Magnetic Absorbers for Customizable Microwave Absorption

Advanced Science, EarlyView.
A neural network‐enabled permittivity engineering paradigm is introduced, transcending traditional trial‐and‐error design. By decoupling electromagnetic parameters and screening a high‐throughput feature space, an ultrathin (1.0 mm) magnetic absorber is inversely designed, experimentally achieving a superior and customizable 5.1 GHz bandwidth and ...
Chenxi Liu, Jinzhe Li, Sen Li, Zhongqiu Guo, Yao Chen, Tian Li, Renchi Qin, Jiaxu Sun, Yongxi Lu, Fanbin Meng   +9 more
wiley   +1 more source

Hyperparameter Optimization for Tomato Leaf Disease Recognition Based on YOLOv11m. [PDF]

Plants (Basel)
Lee YS, Patil MP, Kim JG, Seo YB, Ahn DH, Kim GD.   +5 more
europepmc   +1 more source

Mixed Script Identification Using Automated DNN Hyperparameter Optimization. [PDF]

Comput Intell Neurosci, 2021
Yasir M, Chen L, Khatoon A, Malik MA, Abid F.   +4 more
europepmc   +1 more source

Automatically Defining Protein Words for Diverse Functional Predictions Based on Attention Analysis of a Protein Language Model

Advanced Science, EarlyView.
Understanding protein sequence–function relationships remains challenging due to poorly defined motifs and limited residue‐level annotations. An annotation‐agnostic framework is introduced that segments protein sequences into “protein words” using attention patterns from protein language models.
Hedi Chen, Jingrui Zhong, Xiaochun Zhang, Jingke Chen, Lin Guo, Xiaoliang Xiong, Xiaonan Zhang, Xiangyu Liu, Bailong Xiao, Boxue Tian   +9 more
wiley   +1 more source

Hyperparameter Optimization for Atomic Cluster Expansion Potentials. [PDF]

J Chem Theory Comput
Thomas du Toit DF, Zhou Y, Deringer VL.
europepmc   +1 more source

Research on Hyperparameter Optimization of Concrete Slump Prediction Model Based on Response Surface Method. [PDF]

Materials (Basel), 2022
Chen Y, Wu J, Zhang Y, Fu L, Luo Y, Liu Y, Li L.   +6 more
europepmc   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source

A novel deep learning technique for multi classify Alzheimer disease: hyperparameter optimization technique. [PDF]

Front Artif Intell
Elmotelb AS, Sherif FF, Abohamama AS, Fakhr M, Abdelatif AM.   +4 more
europepmc   +1 more source