Results 171 to 180 of about 109,092 (251)

Detection of COVID-19 and its pulmonary stage using Bayesian hyperparameter optimization and deep feature selection methods. [PDF]

Expert Syst, 2022
Muzoğlu N, Halefoğlu AM, Avci MO, Kaya Karaaslan M, Yarman BSB.   +4 more
europepmc   +1 more source

Analysis of Multiscale Condensation Phenomena Using a Zero‐Shot Computer Vision Framework

Advanced Science, EarlyView.
A zero‐shot computer vision framework quantifies multiscale condensation dynamics by automatically segmenting droplets and extracting physical parameters without labeled data. The workflow integrates data mining and statistical analysis to reveal droplet growth, coalescence statistics, and sweeping behaviors, enabling label‐free measurement of heat ...
Donghyeong Lee, Seokwan Roh, Jaewoo Jeong, Kuk‐Jin Yoon, Jungchul Lee, Youngsuk Nam   +5 more
wiley   +1 more source

Combining K-fold cross validation with bayesian hyperparameter optimization for accuracy enhancement of land cover and land use classification. [PDF]

Sci Rep
Heidari P, Milan A.
europepmc   +1 more source

A Scalable Framework for Comprehensive Typing of Polymorphic Immune Genes from Long‐Read Data

Advanced Science, EarlyView.
SpecImmune introduces a unified computational framework optimized for long‐read sequencing to resolve over 400 highly polymorphic immune genes. This scalable approach achieves high‐resolution typing, enabling the discovery of cross‐family co‐evolutionary networks and population‐specific diversity.
Shuai Wang, Xuedong Wang, Mengyao Wang, Qian Zhou, Lusheng Wang, Shuai Cheng Li   +5 more
wiley   +1 more source

Feature Selection and Hyperparameter Optimization for Machine Learned Classification of 3D Single-Particle Tracking. [PDF]

Chem Biomed Imaging
Chatterjee J, Chatterjee S, Gillett E, Kovalenko N, Fan D, Landes CF.   +5 more
europepmc   +1 more source

Identification of the ubiquitin-proteasome pathway domain by hyperparameter optimization based on a 2D convolutional neural network. [PDF]

Front Genet, 2022
Sikander R, Arif M, Ghulam A, Worachartcheewan A, Thafar MA, Habib S.   +5 more
europepmc   +1 more source

High‐Conductivity Electrolytes Screened Using Fragment‐ and Composition‐Aware Deep Learning

Advanced Science, EarlyView.
We present a new deep learning framework that hierarchically links molecular and functional unit attributions to predict electrolyte conductivity. By integrating molecular composition, ratios, and physicochemical descriptors, it achieves accurate, interpretable predictions and large‐scale virtual screening, offering chemically meaningful insights for ...
Xiangwen Wang, Muyang Chen, Gengyi Bao, Yan Lai, Jinghe Cao, Xinhua Liu, Rui Tan   +6 more
wiley   +1 more source

Hyperparameter optimization of XGBoost and hybrid CnnSVM for cyber threat detection using modified Harris hawks algorithm. [PDF]

PeerJ Comput Sci
Elwahsh H, Bakhiet A, Khalifa T, Hoxha J, Alsabaan M, Ibrahem MI, Elwahsh M, El-Shafeiy E.   +7 more
europepmc   +1 more source

Nonlinear Hyperparameter Optimization of a Neural Network in Image Processing for Micromachines. [PDF]

Micromachines (Basel), 2021
Shen M, Yang J, Li S, Zhang A, Bai Q.
europepmc   +1 more source

In Situ Quantization with Memory‐Transistor Transfer Unit Based on Electrochemical Random‐Access Memory for Edge Applications

Advanced Science, EarlyView.
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang, Yuxiang Yang, Baiqian Wang, Yaoyu Tao, Zelun Pan, Lei Cai, Teng Zhang, Longhao Yan, Xianbin Li, Yuchao Yang   +9 more
wiley   +1 more source