Results 11 to 20 of about 410 (152)
Improving Neural Network Based on Seagull Optimization Algorithm for Controlling DC Motor
Jurnal Elektronika dan Telekomunikasi, 2021 This article presents a direct current (DC) motor control approach using a hybrid Seagull Optimization Algorithm (SOA) and Neural Network (NN) method. SOA method is a nature-inspired algorithm.
Widi Aribowo +3 more
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IEEE Access, 2022 This paper proposes an orthogonal design-based control vector parameterization (OCVP, for short) and a Gaussian distribution-based seagull optimization algorithm (GSOA) for dynamic optimization problems (DOPs). OCVP uses orthogonal experimental design to
Haidong Guo, Yuanbin Mo, Yuedong Zhang
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Future Internet, 2022 The Internet of things (IoT) points to billions of devices located worldwide which are connected and share their data based on the Internet. Due to the new technologies that provide cheap computer chips and universal wireless networks, it is feasible ...
Hamza Mohammed Ridha Al-Khafaji
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Quantum-inspired seagull optimised deep belief network approach for cardiovascular disease prediction [PDF]
PeerJ Computer ScienceThe early detection and accurate diagnosis of cardiovascular diseases is vital to reduce global morbidity and death rates. In this work, the quantum-inspired seagull optimization algorithm (QISOA) combined with a deep belief network (DBN) is proposed to ...
D. Banumathy +3 more
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Research on the application of refinement hierarchical population algorithm in MPPT of photovoltaic arrays. [PDF]
PLoS ONEConsidering the slow convergence speed and unstable transmission capacity of photovoltaic systems in maximum power point tracking (MPPT), this paper proposes a MPPT control strategy based on the fine-layered population algorithm.
Wei Liming, Kou Qi
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AIP AdvancesText classification is a key task in natural language processing that entails sorting textual information into specified categories. Over time, techniques for text classification have progressed from rule-based methods to more advanced deep learning and ...
Yuanyuan Chen +4 more
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Collision-Aware Routing Using Multi-Objective Seagull Optimization Algorithm for WSN-Based IoT
Sensors, 2021 In recent trends, wireless sensor networks (WSNs) have become popular because of their cost, simple structure, reliability, and developments in the communication field.
Preetha Jagannathan +4 more
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EAI Endorsed Transactions on Energy WebINTRODUCTION: The complexity of the power network, changes in weather conditions, diverse geographical locations, and holiday activities comprehensively affect the normal operation of power loads.
Mengfan Xu, Junyang Pan
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Various optimization algorithms for efficient placement and sizing of photovoltaic distributed generations in different networks. [PDF]
PLoS ONERecent research has concentrated on emphasizing the significance of incorporating renewable distributed generations (RDGs), like photovoltaic (PV) and wind turbines (WTs), into the distribution system to address issues related to distributed generation ...
Ahmed A Zaki Diab +5 more
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Multicamera Calibration Optimization Method Based on Improved Seagull Algorithm [PDF]
Security and Communication Networks, 2021 There are some problems in the process of camera calibration, such as insufficient accuracy and poor accuracy. Based on the seagull algorithm, the adaptive differential evolution algorithm is combined with the seagull algorithm to optimize the multicamera calibration.
Shuai Du, Jianyu Wang, Jia Guo
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