Results 81 to 90 of about 4,765,015 (215)
A secured cloud‐medical data sharing with A‐BRSA and Salp ‐Ant Lion Optimisation Algorithm
CAAI Transactions on Intelligence Technology, EarlyView.Abstract Sharing medical data among healthcare providers, researchers, and patients is crucial for efficient healthcare services. Cloud‐assisted smart healthcare (s‐healthcare) systems have made it easier to store EHRs effectively. However, the traditional encryption algorithms used to secure this data can be vulnerable to attacks if the encryption key
Adel Binbusayyis +7 more
wiley +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Feature selection (FS) is a critical preprocessing approach for enhancing the quality of feature sets in various real‐world applications. Due to diverse relationships among features in high‐dimensional data sets, various features exhibit differing levels of importance and correlation with the target, which makes it challenging to effectively ...
Jiankai Xue, Huihui Tong, Zhengkai Wang
wiley +1 more source
High Voltage, EarlyView.ABSTRACT The condition assessment of oil–paper insulation is critical for oil–immersed power transformers, which are fundamental to the reliability of modern power systems. The primary limitation of traditional transformer ageing assessment lies in its macroscopic, whole‐unit approach, which fails to account for the localised effects of nonuniform ...
Mingze Zhang +7 more
wiley +1 more source
Improved Grey Wolf Optimization Algorithm
Aiming at the problems of slow convergence speed and easy to fall into local optimum of grey wolf optimization (GWO) in unmanned aerial vehicle path planning, an improved grey wolf optimization (I-GWO) with multi-strategy fusion is proposed. The improved
Fan, Haowei
core +1 more source
A Feature Weighted Fuzzy Clustering Algorithm Based on Multistrategy Grey Wolf Optimization
, 2021 Traditional fuzzy clustering is sensitive to initialization and ignores the importance difference between features, so the performance is not satisfactory.
Hao Chao, Zhonghui Wang, Yongli Liu
core +1 more source
The Development and Application Research of Grey Wolf Optimization Algorithm
The Grey Wolf Optimization (GWO) algorithm is an emerging swarm intelligence optimization technique known for its simplicity, minimal control parameters, fast convergence, and ease of implementation. This paper investigates the search mechanism and implementation process of the GWO algorithm, analyzing its shortcomings, including poor population ...
Jihua Chai, Liyi Zhang, Ting Liu
openaire +2 more sources
Grey Wolf Optimization Algorithm based Optimal Scheduling of Microgrid
, 2023 Abstract Using a microgrid method, distributed generation has the potential to become a component of the larger system. Advanced management and the system provided by the communication infrastructure operate in concert to coordinate the Micro grid's low voltage distribution network with storage devices and programmable loads.
Mamta Chamoli +2 more
openaire +1 more source
Apex predators exploit advantageous snow conditions across hunting modes
Journal of Animal Ecology, EarlyView.Advantageous snow conditions—in terms of snow depth and density—are among the most important features of the winter landscape for two apex predators, regardless of hunting strategy. In a warming climate, the knock‐on effects of a diminishing snowpack may reduce the hunting success of multiple large carnivore species.
Benjamin K. Sullender +7 more
wiley +1 more source
Grey wolf optimization algorithm for a concurrent real-time optimization problem in game theory [PDF]
In this paper we present a grey wolf algorithm for a concurrent real time optimization problem in searching for optimal game solving solution. There are many solutions to solve the game.
Górski, Adam, Ogorzałek, Maciej
core +1 more source
Feature Selection Algorithm Based on Multi Strategy Grey Wolf Optimizer
, 2020 Part 1: Machine LearningInternational audienceFeature selection is an important part of data mining, image recognition and other fields. The efficiency and accuracy of classification algorithm can be improved by selecting the best feature subset.
Wan, Guoqiang +7 more
core +1 more source