Results 121 to 130 of about 36,792 (238)
Understanding cell‐penetrating peptide mechanisms using computational electrophysiology simulations
Abstract Cell‐penetrating peptides (CPPs) can enter cells without inducing cytotoxicity and can be coupled with cargo molecules to be used to deliver drugs, DNA, or nanoparticles into cells. The peptide‐membrane interactions driving the internalization mechanism are not completely understood. In this study, we introduce Computational Electrophysiology (
Eric Catalina‐Hernandez +3 more
wiley +1 more source
Optimization of time modulated array antennas based on improved gray wolf optimizer
With the widespread application of intelligent optimization algorithms in engineering and scientific fields, the need for their improvement and optimization is increasingly evident.
TianNing Zhu +3 more
doaj +1 more source
Financial Time Series Uncertainty: A Review of Probabilistic AI Applications
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen +4 more
wiley +1 more source
Survival analysis is a fundamental statistical tool for studying the period leading up to a specific event, such as patient death or device failure. Interest in this analysis has grown due to its ability to provide accurate insights into survival rates ...
Mohammed A.R. Hayoun +2 more
doaj +1 more source
Optimization design of heliostat field parameters based on gray Wolf algorithm
Tower solar thermal power generation is the most promising way of light energy utilization in China at present, and it is also an important program to achieve the strategic goal of "carbon neutrality" and "carbon peak". In order to obtain the best solar optical efficiency and maximize the use of solar energy, how to design the relevant parameters of ...
Zejiang Wu, Zhen Zhao, Jia Tang
openaire +1 more source
The alpine marmot (Marmota marmota), a crucial component of alpine ecosystems, serves both as a key player in the food chain and as an ‘ecosystem engineer.’ Employing DNA metabarcoding of fecal samples, this study investigated the diet composition and foraging strategies of four alpine marmot colonies across diverse alpine pasture ecosystems throughout
Giorgio Marchesini +10 more
wiley +1 more source
To address high‐altitude power transmission challenges, a composite controller was developed to suppress strong wind interference, demonstrating the effectiveness of hierarchical control in complex dynamic systems. Hardware‐in‐the‐loop experiments verified the robustness of the control algorithm, providing methodological support for developing ...
Shaofeng Bai, Jun Zhong
wiley +1 more source
In this study, the gray wolf algorithm was applied to optimize the water-cooled central chilling system operation in a commercial office building. The optimization objective was to maximize the system’s energy efficiency ratio by seeking the optimal ...
Jiankun Yang +5 more
doaj +1 more source
HADA: A Hybrid Anomaly Detection Approach Using Unsupervised Machine Learning
Overview of HADA, an unsupervised fraud detection pipeline that preprocesses and scales transaction data, applies PCA for dimensionality reduction, scores anomalies using Isolation Forest, selects anomalous transactions via thresholding, and clusters the selected anomalies using Agglomerative Hierarchical Clustering (AHC) to produce interpretable ...
Francis Thiong'o +3 more
wiley +1 more source
Workflow of proposed QOBL‐ARO with GS‐SVM method for BC using mammogram images. ABSTRACT Mammogram images are the most appropriate modality for breast cancer (BC) diagnosis which supports early diagnosis in women. However, the handcrafted features are insufficient for effective BC classification, which negatively impacts the model's accuracy and leads ...
Bassamma Patil +2 more
wiley +1 more source

