Settlement Prediction of Foundation Pit Excavation Based on the GWO-ELM Model considering Different States of Influence [PDF]
Advances in Civil Engineering, 2021 This paper proposes a novel grey wolf optimization-extreme learning machine model, namely, the GWO-ELM model, to train and predict the ground subsidence by combining the extreme learning machine with the grey wolf optimization algorithm.
Qiao Shi-fan +6 more
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QIBMRMN: Design of a Q-Learning based Iterative sleep-scheduling & hybrid Bioinspired Multipath Routing model for Multimedia Networks [PDF]
International Journal of Electronics and Telecommunications, 2023 Multimedia networks utilize low-power scalar nodes to modify wakeup cycles of high-performance multimedia nodes, which assists in optimizing the power-toperformance ratios.
Minaxi Doorwar, P Malathi
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Optimal Placement Identification of Multiple DG Types Using Optimization Technique [PDF]
E3S Web of Conferences, 2023 In this paper, a combination algorithm called GAIPSO, which combines GA and a better version of the classic particle swarm optimization process, is used.
S. Mounika +2 more
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Thunderstorm disaster prediction based on enhanced GWO optimized BP neural network [PDF]
ITM Web of Conferences, 2022 Aiming at the problem that traditional BP algorithm is prone to fall into local optimum when carrying out thunderstorm disaster prediction, a thunderstorm disaster prediction method based on BP neural network optimized by enhanced GWO algorithm is ...
Lv Yana, Qin Xutong, Zhang Bin, Du Xiuli
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Cost-Aware and Energy-Efficient Task Scheduling Based on Grey Wolf Optimizer [PDF]
Journal of Mahani Mathematical Research, 2023 One of the principal challenges in the cloud is the task scheduling problem. Appropriate task scheduling algorithms are needed to achieve goals such as load balancing, minimum cost, minimum energy consumption, etc.
Reyhane Ghafari, Najme Mansouri
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A method to construct key success factors in the cell therapy industry
Science Progress, 2021 In the field of regenerative medicine, cell therapy is often used to regenerate organs or tissue that can be widely applied to several diseases. In recent years, the Taiwanese government has listed the biotechnology industry as a key developmental ...
Chuan-Feng Chiu +4 more
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An Effective Method for Parameter Estimation of Solar PV Cell Using Grey-Wolf Optimization Technique [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2021 In the field of renewable energy, the extraction of parameters for solar photovoltaic (PV) cells is a widely studied area of research. Parameter extraction of solar PV cell is a highly non-linear complex optimization problem.
Abhishek Sharma +4 more
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Feature Optimization Using a Two–Tier Hybrid Optimizer in an Internet of Things Network
International Journal of Applied Mathematics and Computer Science, 2023 The growing use of the Internet of Things (IoT) in smart applications necessitates improved security monitoring of IoT components. The security of such components is monitored using intrusion detection systems which run machine learning (ML) algorithms ...
Agrawal Akhileshwar Prasad, Singh Nanhay
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Bus Allocation for Voltage Stabilization in Multi-Machine Power System Using GWO [PDF]
EAI Endorsed Transactions on Energy Web, 2021 Today, power systems are being operated under greatly stressed conditions due to rapidly growing demand for electrical energy, penetration of renewable energy sources, large seasonal load variations, and operation in competitive energy market conditions.
Nasser AL-Zubaydi, Ali Jasim
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Hybrid Deep Learning Algorithm for the State of Charge Prediction of the Lithium-Ion Battery for Electric Vehicles [PDF]
Iranian Journal of Chemistry & Chemical Engineering, 2023 An accurate and dependable evaluation of the State of Charge (SOC) is required to maximize battery life and safety. The primary goals of this research are to identify dual-polarization parameters and estimate SOC.
Rajarathinam Sugashini +1 more
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