Results 141 to 150 of about 111,792 (225)

(Quasi) multitask support vector regression with heuristic hyperparameter optimization for whole-genome prediction of complex traits: a case study with carcass traits in broilers. [PDF]

G3 (Bethesda), 2023
Alves AAC, Fernandes AFA, Lopes FB, Breen V, Hawken R, Gianola D, Rosa GJM.   +6 more
europepmc   +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

Genetic CFL: Hyperparameter Optimization in Clustered Federated Learning. [PDF]

Comput Intell Neurosci, 2021
Agrawal S, Sarkar S, Alazab M, Maddikunta PKR, Gadekallu TR, Pham QV.   +5 more
europepmc   +1 more source

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

Agribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani, Jason de Koff, James Muriuki, Anna‐Liisa Ihuhwa   +3 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

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

A multiscale Bayesian optimization framework for process and material codesign

AIChE Journal, EarlyView.
Abstract The simultaneous design of processes and enabling materials such as solvents, catalysts, and adsorbents is challenging because molecular‐ and process‐level decisions are strongly interdependent. Sequential approaches often yield suboptimal results since improvements in material properties may not translate into superior process performance. We
Michael Baldea
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

Hybrid modeling for optimizing cell cultivation in mAb production using a small‐scale automated experimental platform

AIChE Journal, EarlyView.
Abstract This work presents the optimization of cell cultivation for monoclonal antibody (mAb) production. We developed a hybrid model describing the effects of multiple process variables on antibody productivity and impurity generation. An automated platform with 12 × 250 mL bioreactors was set up.
Kosuke Nemoto, Yuki Yoshiyama, Mizuki Morisasa, Junshin Iwabuchi, Yusuke Hayashi, Sara Badr, Hirokazu Sugiyama   +6 more
wiley   +1 more source