Initialisation approaches for population-based metaheuristic algorithms: a comprehensive review
JO Agushaka, AE Ezugwu - Applied Sciences, 2022 - mdpi.com
A situation where the set of initial solutions lies near the position of the true optimality (most
favourable or desirable solution) by chance can increase the probability of finding the true …
favourable or desirable solution) by chance can increase the probability of finding the true …
[HTML][HTML] Particle swarm optimization and RBF neural networks for public transport arrival time prediction using GTFS data
Abstract Accurate prediction of Public Transport (PT) mobility is important for intelligent
transportation. Nowadays, mobility data have become increasingly available with the …
transportation. Nowadays, mobility data have become increasingly available with the …
Particle swarm optimization with Chebychev functional-link network model for engineering design problems
H Liu, W Wang, X Cheng, H Zheng - Applied Soft Computing, 2022 - Elsevier
In recent years, many improved particle swarm optimization (PSO) algorithms have been
developed to improve the performance of PSO. These improved algorithms have greatly …
developed to improve the performance of PSO. These improved algorithms have greatly …
[HTML][HTML] S3D: Squeeze and excitation 3D convolutional neural networks for a fall detection system
SB Hong, YH Kim, SH Nam, KR Park - Mathematics, 2022 - mdpi.com
Because of the limitations of previous studies on a fall detection system (FDS) based on
wearable and ambient devices and visible light and depth cameras, the research using …
wearable and ambient devices and visible light and depth cameras, the research using …
Fault detection and location for VSC-HVDC systems with the coexistence of AC and DC Faults by using PSO-neural network
RS Jawad, H Abid - … on Sciences and Techniques of Automatic …, 2022 - ieeexplore.ieee.org
Superior power quality and less transmission loss are features of HVDC transmission.
However, fault location and clearing technology are less advanced compared to their AC …
However, fault location and clearing technology are less advanced compared to their AC …
Expert System Development to Predict Canned Motor Pump Status
K Thuensuwan, P Chutima - … of the 4th International Conference on …, 2022 - dl.acm.org
This research presents the development of an Expert System to predict Canned Motor Pump
(CMP) Status by applying a machine learning (ML) algorithm with domain expert knowledge …
(CMP) Status by applying a machine learning (ML) algorithm with domain expert knowledge …