Zobrazeno 1 - 10
of 6 432
pro vyhledávání: '"differential evolution algorithm"'
Autor:
Aryan Bhatia, Moolchand Sharma, Eatedal Alabdulkreem, Nuha Alruwais, Muhammad Kashif Saeed, Abdulsamad Ebrahim Yahya
Publikováno v:
Alexandria Engineering Journal, Vol 106, Iss , Pp 721-734 (2024)
Investigating Drug-Target Interactions (DTI) is crucial for drug repositioning and discovery tasks. However, discovering DTIs through experimental approaches is time-consuming and requires substantial financial resources. To address these challenges,
Externí odkaz:
https://doaj.org/article/f6f15c848b6c42c8a2a92a5ec0efa4cc
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-29 (2024)
Abstract Violence is a prevalent societal issue that poses significant threats to individuals and communities. To address this challenge, researchers have developed various machine learning models to detect and prevent violent incidents. The violence
Externí odkaz:
https://doaj.org/article/6def0b3de84e405b95ad3f1e7f6f55ef
Autor:
Bian Chao, Huang Guangqiu
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-28 (2024)
Abstract Amid escalating tension between environmental conservation and economic development, the imperative to enhance air quality has become increasingly urgent. This study elucidates a sophisticated approach for the assessment and remediation of a
Externí odkaz:
https://doaj.org/article/ee1bd14ad22945b79ba8f02e8037dc87
Publikováno v:
Journal of Isotopes, Vol 37, Iss 4, Pp 372-378 (2024)
The monitoring of neutron ambient dose equivalent rate in a radiation field is of significant importance as it can reflect the operational status of nuclear facilities and provide radiation protection information. Currently, the commonly used monitor
Externí odkaz:
https://doaj.org/article/68fdf929300d4c9fa55e6d7c7cb611dd
Autor:
Yue-Ting Liu, Yan Zhang
Publikováno v:
Journal of Applied Science and Engineering, Vol 27, Iss 7, Pp 2837-2845 (2024)
Given the large hysteresis in the material outlet temperature of the heating furnace, a differential evolution algorithm with adaptive adjustment factors (AAFDE)-radial basis function (RBF)-proportional integral derivative (PID)-PI cascade is propose
Externí odkaz:
https://doaj.org/article/198005c060254db085b83cad8bdd14da
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-24 (2024)
Abstract As the complexity of power systems increases, accurate load forecasting becomes crucial. This paper proposes a method for short-term electrical load forecasting that integrates fuzzy rough set (FRS) theory and multi-kernel extreme learning m
Externí odkaz:
https://doaj.org/article/47f581cdb92042e195459994aa6fd4c9