Results 151 to 160 of about 654 (182)
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Concurrency and Computation: Practice and Experience, 2022
SummaryMagnetic resonance imaging (MRI) is a practical tool for diagnosing tumors in human brain. In this work, MRI images are analyzed to find tumor‐containing regions and classify these regions into three different types of tumor: meningioma, glioma, and pituitary.
S. Lavanya +3 more
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SummaryMagnetic resonance imaging (MRI) is a practical tool for diagnosing tumors in human brain. In this work, MRI images are analyzed to find tumor‐containing regions and classify these regions into three different types of tumor: meningioma, glioma, and pituitary.
S. Lavanya +3 more
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Optimization of WSN localization algorithm based on improved multi-strategy seagull algorithm
Telecommunication SystemsYu Xiuwu
exaly +2 more sources
Job Scheduling in Cloud Using Seagull Optimization Algorithm
2021In recent years, cloud computing technology has gained a great deal of interest from both academia and industry. Cloud computing's success benefited from its ability to offer global IT services such as core infrastructure, platforms, and applications to cloud customers around the web.
Meenakshi Garg, Gaurav Dhiman
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Application of Distributed Seagull Optimization Improved Algorithm in Sentiment Tendency Prediction
2021Emotion analysis is of great practical significance in the aspects of network control, public opinion monitoring and public sentiment guidance. In order to obtain better accuracy of emotion classification and analyze users’ emotion tendency more accurately, a distributed model of emotion classification with improved Seagull optimization algorithm (SOA)
Hongwei Chen +4 more
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The mutation seagull algorithm optimizes the speech emotion recognition of BP neural network
2021 9th International Conference on Communications and Broadband Networking, 2021In order to better recognize the emotion type in the speech signal, the mutation seagull algorithm optimized BP neural network (VSOA-BP) is proposed.The algorithm uses the genetic algorithm's mutation idea, and reinitializes the variables with a certain probability by introducing the mutation operation, thereby improving the accuracy of the algorithm ...
Jiang Li, Donghong Qin
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Journal of Intelligent & Fuzzy Systems, 2022
This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Xu, Le, Mo, Yuanbin, Lu, Yanyue
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This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Xu, Le, Mo, Yuanbin, Lu, Yanyue
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An enhanced hybrid seagull optimization algorithm with its application in engineering optimization
Engineering with Computers, 2022Gang Hu +4 more
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Maiden Application of Seagull Optimization Algorithm for the Study of Load Frequency Control
2021In this paper, the application of the seagull optimization algorithm (SOA) is implemented for optimal load frequency control (LFC) of dual area conventional power systems. The analysis is performed by impressing a step load of 1% (SLP) on only area-1.
CH. Naga Sai Kalyan +1 more
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Optimal DSTATCOM Allocation Using a Hybrid Seagull-Differential Evolution Algorithm
2020 IEEE 17th India Council International Conference (INDICON), 2020In this paper, a novel hybrid optimization algorithm called seagull (SG) -differential evolution algorithm (DEA) is implemented to locate the suitable position of a Distribution static synchronous compensator (DSTATCOM) in a 69-bus interconnected distribution network to improve voltage profile, and minimize the total active power losses (TAPL) of the ...
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An Improved Seagull Algorithm for Numerical Optimization Problem
2023Waqas Haider Khan Bangyal +4 more
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