Results 131 to 140 of about 980,436 (340)
Covid-19 cases prediction using SARIMAX Model by tuning hyperparameter through grid search cross-validation approach. [PDF]
Sah S +3 more
europepmc +1 more source
Over half of cancer patients undergo radiotherapy. Laser ablation enabled the synthesis of immiscible Au‐Fe‐B nanoparticles designed as degradable bimodal radiosensitizers for X‐ray radiotherapy (XRT), boron neutron capture therapy (BNCT), and bimodal imaging for X‐ray computed tomography (CT) and magnetic resonance imaging (MRI). These nanosensitizers
Michael Bissoli +15 more
wiley +1 more source
Numerous studies have explored software defect prediction using machine learning algorithms; however, their performance on publicly available defect datasets often remains limited due to high feature dimensionality and class imbalance.
Bahiru Shifaw Yimer +1 more
doaj +1 more source
Optimal Operation of PV Sources in DC Grids for Improving Technical, Economical, and Environmental Conditions by Using Vortex Search Algorithm and a Matrix Hourly Power Flow [PDF]
Luis Fernando Grisales-Noreña +4 more
openalex +1 more source
Wound closure is governed by geometry‐orientation coupling: aligned fibers speed migration along their axis but hinder perpendicular advance. In vivo diabetic wound experiments with composition‐matched fibrin, combined with an anisotropic diffusion (biased random‐walk) model, quantify this trade‐off and generate a healing landscape.
Yin‐Yuan Huang +13 more
wiley +1 more source
Predicting Employee Turnover Based on Improved ADASYN and GS-CatBoost
In corporate management practices, human resources are among the most active and critical elements, and frequent employee turnover can impose substantial losses on firms.
Shuigen Hu, Kai Dong
doaj +1 more source
Utilizing grid search cross-validation with adaptive boosting for augmenting performance of machine learning models. [PDF]
Adnan M +3 more
europepmc +1 more source
CORE: Cholesterol Altered Lipid Nanoparticles for Splenic Expression of mRNA Payloads
In this paper researchers introduce CORE LNPs, a new class of lipid nanoparticles engineered to redirect mRNA expression away from the liver and into the spleen, a key immune organ. By combining chemical design with computational tools, they created cholesterol analogs that enable precise spleen‐targeted expression, providing greater applications for ...
Eshan A. Narasipura +4 more
wiley +1 more source
Predicting the average monthly rainfall in Mecca is crucial for sustainable development, resource management, and infrastructure protection in the region.
Fehaid Alqahtani
doaj +1 more source
A novel LSTM-CNN-grid search-based deep neural network for sentiment analysis. [PDF]
Priyadarshini I, Cotton C.
europepmc +1 more source

