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Rana Muhammad Adnan Ikram, Abolfazl Jaafari, Sami Ghordoyee Milan, Ozgur Kisi, Salim Heddam and Mohammad Zounemat-Kermani
Precise estimation of pan evaporation is necessary to manage available water resources. In this study, the capability of three hybridized models for modeling monthly pan evaporation (Epan) at three stations in the Dongting lake basin, China, were investi...
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Mohamed A. Shamseldin
This paper presents an efficient coronavirus optimization algorithm (CVOA) to find the optimal values of the PID controller to track a preselected reference speed of a brushless DC (BLDC) motor under several types of disturbances. This work simulates how...
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Ting-Yun Wu, Yun-Zhi Jiang, Yi-Zhu Su and Wei-Chang Yeh
This study proposes the flow and temperature controllers of a cockpit environment control system (ECS) by implementing an optimal simplified swarm optimization (SSO) fuzzy proportional-integral-derivative (PID) control. The ECS model is considered as a m...
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Ana Castillo-Martinez, Jose Ramon Almagro, Alberto Gutierrez-Escolar, Antonio del Corte, José Luis Castillo-Sequera, José Manuel Gómez-Pulido and José-María Gutiérrez-Martínez
Outdoor lighting is an essential service for modern life. However, the high influence of this type of facility on energy consumption makes it necessary to take extra care in the design phase. Therefore, this manuscript describes an algorithm to help ligh...
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Babak Salamat and Andrea M. Tonello
The aim of this paper is to provide a realistic stochastic trajectory generation method for unmanned aerial vehicles that offers a tool for the emulation of trajectories in typical flight scenarios. Three scenarios are defined in this paper. The trajecto...
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Babak Salamat and Andrea M. Tonello
The aim of this paper is to provide a realistic stochastic trajectory generation method for unmanned aerial vehicles that offers a tool for the emulation of trajectories in typical flight scenarios. Three scenarios are defined in this paper. The trajecto...
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Xiaoxu Zhang, Xiao Liu, Chao Wang and Zhe Chen
This paper presents the analysis and design optimization of a coaxial surface-mounted permanent-magnet magnetic gear. The magnetic field distribution in the coaxial magnetic gear is calculated analytically in the polar coordinate system and then validat...
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Luis Parraguez, José Eduardo Rengel
Pág. 86 - 102
El algoritmo de Optimización por Enjambre de Partículas (PSO = Particle Swarm Optimization) es una técnica estocástica basada en el movimiento e inteligencia de partículas, inspirado en el comportamiento social de poblaciones y es empleado para resolver ...
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Shoffan Saifullah and Rafal Drezewski
Accurate medical image segmentation is paramount for precise diagnosis and treatment in modern healthcare. This research presents a comprehensive study of the efficacy of particle swarm optimization (PSO) combined with histogram equalization (HE) preproc...
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Ishaani Priyadarshini
Autism spectrum disorder (ASD) has been associated with conditions like depression, anxiety, epilepsy, etc., due to its impact on an individual?s educational, social, and employment. Since diagnosis is challenging and there is no cure, the goal is to max...
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Ali Reza Ghanizadeh, Ahmad Aziminejad, Panagiotis G. Asteris and Danial Jahed Armaghani
Earthquake-induced soil liquefaction (EISL) can cause significant damage to structures, facilities, and vital urban arteries. Thus, the accurate prediction of EISL is a challenge for geotechnical engineers in mitigating irreparable loss to buildings and ...
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Jianya Yuan, Mengxue Han, Hongjian Wang, Bo Zhong, Wei Gao and Dan Yu
Collision avoidance planning has always been a hot and important issue in the field of unmanned aircraft research. In this article, we describe an online collision avoidance planning algorithm for autonomous underwater vehicle (AUV) autonomous navigation...
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Rahmeh Ibrahim, Rawan Ghnemat and Qasem Abu Al-Haija
Convolutional Neural Networks (CNNs) have exhibited remarkable potential in effectively tackling the intricate task of classifying MRI images, specifically in Alzheimer?s disease detection and brain tumor identification. While CNNs optimize their paramet...
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Mohamed Torky, Mohamed El-Dosuky, Essam Goda, Václav Sná?el and Aboul Ella Hassanien
Unmanned aerial vehicles (UAVs) have emerged as a powerful technology for introducing untraditional solutions to many challenges in non-military fields and industrial applications in the next few years. However, the limitations of a drone?s battery and t...
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Congmin Yang, Tao Zhu, Yang Zhang, Huansheng Ning, Liming Chen and Zhenyu Liu
The particle swarm optimization (PSO) algorithm has been widely used in various optimization problems. Although PSO has been successful in many fields, solving optimization problems in big data applications often requires processing of massive amounts of...
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Carla E. Garcia, Mario R. Camana and Insoo Koo
Security is considered a critical issue in the deployment of 5G networks because of the vulnerability of information that can be intercepted by eavesdroppers in wireless transmission environments. Thus, physical layer security has emerged as an alternati...
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Nada El Gmili, Mostafa Mjahed, Abdeljalil El Kari and Hassan Ayad
This paper explores the full control of a quadrotor Unmanned Aerial Vehicles (UAVs) by exploiting the nature-inspired algorithms of Particle Swarm Optimization (PSO), Cuckoo Search (CS), and the cooperative Particle Swarm Optimization-Cuckoo Search (PSO-...
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Amjad Humaidi and Mustafa Hameed
In this work, a new adaptive block-backstepping control design algorithm was developed for an under-actuated model (represented by a ball?arc system) to enhance the transient and steady-state behaviors and to improve the robustness characteristics of the...
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Shanshan Chen, Zhicai Shi, Fei Wu, Changzhi Wang, Jin Liu and Jiwei Chen
Time of arrival (TOA) measurement is a promising method for target positioning based on a set of nodes with known positions, with high accuracy and low computational complexity. However, most positioning methods based on TOA (such as least squares estima...
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Xin Li, Jiming Guo and Jiyuan Hu
In this study, we proposed a novel method for global navigation satellite system (GNSS) ambiguity resolution (AR). The proposed method utilizes an improved particle swarm optimization (IPSO) algorithm to obtain the GNSS integer ambiguity with the double ...
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