Zobrazeno 1 - 10
of 431
pro vyhledávání: '"Shu-Chuan Chu"'
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 4, Pp 5545-5568 (2024)
Abstract Deploying static wireless sensor nodes is prone to network coverage gaps, resulting in poor network coverage. In this paper, an attempt is made to improve the network coverage by moving the locations of the nodes. A surrogate-assisted sine P
Externí odkaz:
https://doaj.org/article/ca52079fd47c4bdebf6d00498a9a0ab0
A Hybrid Parallel Willow Catkin Optimization Algorithm Applied for Engineering Optimization Problems
Publikováno v:
IEEE Access, Vol 12, Pp 102396-102415 (2024)
The Willow Catkin Optimization Algorithm (WCO) is a newly proposed meta-heuristic algorithm in recent years that has a simple structure and excellent optimization searching ability, but the WCO algorithm could benefit from improvements in both conver
Externí odkaz:
https://doaj.org/article/9e809295cbe74ffa965e1b6056fa003e
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 2, Pp 1845-1877 (2023)
Abstract The introduction of a multi-population structure in differential evolution (DE) algorithm has been proven to be an effective way to achieve algorithm adaptation and multi-strategy integration. However, in existing studies, the mutation strat
Externí odkaz:
https://doaj.org/article/4e48b32ab3d54ea78536314554829b60
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 1, Pp 485-507 (2023)
Abstract Large-scale multi-objective feature selection problems are widely existing in the fields of text classification, image processing, and biological omics. Numerous features usually mean more correlation and redundancy between features, so effe
Externí odkaz:
https://doaj.org/article/b7fb4ef0500d40edb3dd646757e5d2cd
Publikováno v:
Automatika, Vol 64, Iss 2, Pp 315-326 (2023)
“Extremely High Frequency (EHF)” and “Very high frequency (VHF)” bands are mainly utilized with “Underwater Wireless Sensor Networks (UWSNs)” for communication purposes. However, due to the mobility of underwater sensors in water because
Externí odkaz:
https://doaj.org/article/bbd0cf8bf53c483ca4841102c5b8c84e
Publikováno v:
IEEE Access, Vol 11, Pp 134217-134229 (2023)
Speech emotion recognition and its precise classification are challenging tasks that heavily depend on the quality of feature extraction and selection for speech signals. Many feature selection algorithms have been proposed to achieve recognition, ho
Externí odkaz:
https://doaj.org/article/2ab338a96a144e808ebc26dad25870c1
Publikováno v:
Heliyon, Vol 9, Iss 6, Pp e16468- (2023)
The traditional parameter estimation methods for photovoltaic (PV) module are strictly limited by the reference standards. On the basis of the double diode model (DDM), this paper proposes a modified PV module that is independent of the reference con
Externí odkaz:
https://doaj.org/article/bcee259e9d9e4bbfa5499885d06291c3
Publikováno v:
Applied Sciences, Vol 13, Iss 22, p 12262 (2023)
Speech signals involve speakers’ emotional states and language information, which is very important for human–computer interaction that recognizes speakers’ emotions. Feature selection is a common method for improving recognition accuracy. In t
Externí odkaz:
https://doaj.org/article/af83dbe2adff4c1da17f717bf1a0f4a5
A Feature Selection Algorithm Based on Differential Evolution for English Speech Emotion Recognition
Publikováno v:
Applied Sciences, Vol 13, Iss 22, p 12410 (2023)
The automatic identification of emotions from speech holds significance in facilitating interactions between humans and machines. To improve the recognition accuracy of speech emotion, we extract mel-frequency cepstral coefficients (MFCCs) and pitch
Externí odkaz:
https://doaj.org/article/c4a8b28871024d3992281a913bb8c874
Publikováno v:
Symmetry, Vol 15, Iss 11, p 2077 (2023)
The Diversity-Maintained Adaptive Rafflesia Optimization Algorithm represents an enhanced version of the original Rafflesia Optimization Algorithm. The latter draws inspiration from the unique characteristics displayed by the Rafflesia during its gro
Externí odkaz:
https://doaj.org/article/1c18c55314e94379ac5f33ae8d77bbd7