Zobrazeno 1 - 10
of 174
pro vyhledávání: '"Emmanuel A Frimpong"'
Publikováno v:
Journal of Electrical Systems and Information Technology, Vol 11, Iss 1, Pp 1-32 (2024)
Abstract Improvement of particle swarm optimization (PSO) is relevant to solving the inherent local optima and premature convergence problem of the PSO. In this paper, a novel improvement of the particle swarm optimization is provided to curb the pro
Externí odkaz:
https://doaj.org/article/1f345b10d4ee4ca09cad07a7de1ac21a
Autor:
Emmanuel A Frimpong
Publikováno v:
PLoS Biology, Vol 16, Iss 2, p e2004261 (2018)
Externí odkaz:
https://doaj.org/article/5f126c75eecf4ea4affc1737cf7b7c4c
Publikováno v:
Journal of Engineering and Applied Science, Vol 71, Iss 1, Pp 1-30 (2024)
Abstract The traditional electrical grid has to be digitally improved as digitalization and effective integration of renewable energy bring better efficiency, intelligence, and safety into the grid; hence, the transition from the traditional grid to
Externí odkaz:
https://doaj.org/article/3d0d3847277b4841b1e5c4245833f511
Autor:
Jian Huang, Emmanuel A Frimpong
Publikováno v:
PLoS ONE, Vol 10, Iss 6, p e0129995 (2015)
Understanding the spatial pattern of species distributions is fundamental in biogeography, and conservation and resource management applications. Most species distribution models (SDMs) require or prefer species presence and absence data for adequate
Externí odkaz:
https://doaj.org/article/3347426e92534ee9b04acf3326653e64
Autor:
Edmund Kwafo ADJEI-SAFORO, Francis Boafo EFFAH, Misbawu ADAM, Ebrahimpanah SHAHROUZ, Emmanuel Asuming FRIMPONG
Publikováno v:
Carpathian Journal of Electrical Engineering, Vol 17, Iss 1, Pp 72-92 (2023)
The model predictive current control stands out as a robust control strategy extensively applied in the enhancement of various industrial applications. Renowned for its capacity to handle multiple inputs and generate multiple outputs (MIMO), it is re
Externí odkaz:
https://doaj.org/article/b84c0dd4e6254c929bafb9bab04fe2d5
Publikováno v:
Carpathian Journal of Electrical Engineering, Vol 17, Iss 1, Pp 7-20 (2023)
To boost power system reliability there must be a good scheme for the automatic generation control to maintain the generation-load balance. The development of this scheme started with the enhancement of the sparrow search algorithm, where the initial
Externí odkaz:
https://doaj.org/article/03bf30d779e143e09cfced250a7d9968
Publikováno v:
ICT Express, Vol 9, Iss 4, Pp 728-733 (2023)
Deep learning (DL) has exhibited great potential in communication systems. Recent advances in DL-based physical-layer techniques have shown that the communication system can be modeled as an autoencoder (AE), which performs end-to-end learning tasks.
Externí odkaz:
https://doaj.org/article/8513a676e21644708321bb0a2f95d4ec
Publikováno v:
Carpathian Journal of Electrical Engineering, Vol 16, Iss 1, Pp 106-119 (2022)
The grey system model has seen vast application in many fields due to its good accuracy in predicting systems with a limited dataset. In this paper, the prediction accuracy of the traditional grey system model is enhanced using the particle swarm opt
Externí odkaz:
https://doaj.org/article/6cc52d5fcae545a8bd3c55ecd886bb62
Publikováno v:
Carpathian Journal of Electrical Engineering, Vol 16, Iss 1, Pp 62-74 (2022)
An algorithm that modifies the individual experience of mayflies in the mayfly algorithm (MA) to enhance its performance, is proposed. The proposed algorithm called the Modified Individual Experience Mayfly Algorithm (MIE-MA) calculates the experienc
Externí odkaz:
https://doaj.org/article/a300d5e35f5d44e6918c8b2f40e18f0c
Publikováno v:
Jurnal Nasional Teknik Elektro (2023)
This research paper presents a modified version of the Elephant Herding Optimization (EHO) algorithm, referred to as the Modified Elephant Herding Optimization (MEHO) algorithm, to enhance its global performance. The focus of this study lies in impro
Externí odkaz:
https://doaj.org/article/ab92cde82b434ac3ae14fd218f3345ef