Results 121 to 130 of about 37,147 (226)
Artificial intelligence and big data platforms are transforming oncology clinical practice. This review proposes a physician‐centered framework to integrate AI tools with real‐world data, supporting more precise diagnosis, individualized treatment, and improved patient outcomes.
Binliang Liu +7 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
This study introduces a two‐phase method for detecting DDoS attacks in cloud environments using ensemble feature fusion and a hybrid CNN‐LSTM model. By combining meta‐heuristic feature selection with deep learning, the approach achieves over 99% accuracy on benchmark datasets, reducing false positives and improving cybersecurity resilience.
Hind Saad Hussein +3 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
Feature engineering increases machine learning models' effectiveness for predicting cardiac disease across a wide range of datasets. This study focuses on critical engineering characteristics and their influence on model accuracy, emphasizing the significance of data preprocessing in generating dependable, cross‐source predictive healthcare solutions ...
Debashish Chandra Shil +5 more
wiley +1 more source
Graphical abstract illustrates the optimization process in MATLAB software for network reconfiguration to improve reliability and voltage profile using PSO‐CLDIW. ABSTRACT The growing energy demand has intensified reliability challenges in power distribution systems.
Samson Ademola Adegoke +3 more
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
This study proposes a novel Asymmetrical‐Fuzzy Two‐Degree‐of‐Freedom Tilt‐Integral‐Derivative (AF‐2DOF‐TIDF) controller for load frequency control in a multi‐area, multi‐source power system integrating Hydrogen‐Aqua‐Electrolyzer‐Fuel‐Cell (HAE‐FC) units and a Unified Power Flow Controller (UPFC).
Getaneh Mesfin Meseret, M. Bala Anand
wiley +1 more source
Abstract We introduce JAX‐LaB, a differentiable, Python‐based Lattice Boltzmann simulation library designed for modeling multiphase and multiphysics fluid dynamics problems in hydrologic, geologic, and engineered porous media settings. The library is designed as an extension to XLB (Ataei & Salehipour, 2024, https://doi.org/10.1016/j.cpc.2024.109187 ...
Piyush Pradhan +2 more
wiley +1 more source

