Results 191 to 200 of about 113,531 (269)

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

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 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

A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction

Advanced Intelligent Discovery, EarlyView.
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai, Wenrui Wang, Rui Chen, Tong Yu, Xiaojuan Zheng, Hua Shao, Dashan Shang, Ling Li, Lado Filipovic   +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

Interpretable Machine Learning for Solvent‐Dependent Carrier Mobility in Solution‐Processed Organic Thin Films

Advanced Intelligent Discovery, EarlyView.
This work establishes a correlation between solvent properties and the charge transport performance of solution‐processed organic thin films through interpretable machine learning. Strong dispersion interactions (δD), moderate hydrogen bonding (δH), closely matching and compatible with the solute (quadruple thiophene), and a small molar volume (MolVol)
Tianhao Tan, Lian Duan, Dong Wang
wiley   +1 more source

Classification of Indian classical dances using MnasNet architecture with advanced polar fox optimization for hyperparameter optimization. [PDF]

Sci Rep
Yan X, Yang J, Salami T.
europepmc   +1 more source

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

Advanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

Federated learning framework for IoT intrusion detection using tab transformer and nature-inspired hyperparameter optimization. [PDF]

Front Big Data
Abd Elaziz M, Fares IA, Dahou A, Shrahili M.   +3 more
europepmc   +1 more source