A Comprehensive Survey on Split-Fed Learning: Methods, Innovations, and Future Directions by Geetabai S. Hukkeri, R. H. Goudar, G. M. Dhananjaya, Vijayalaxmi N. Rathod, Shilpa Ankalaki

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Optimizing breeding strategies for early-maturing white maize through genetic diversity and population structure. by Hellen Mawia Mukiti, Baffour Badu-Apraku, Ayodeji Abe, Idris Ishola Adejumobi, John Derera

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Dissolved Oxygen Prediction Based on SOA-SVM and SOA-BP Models by ZHANG Xuekun

“…To improve the accuracy of dissolved oxygen prediction,this paper researches and proposes a prediction method that combines seagull optimization algorithm (SOA) with support vector machine (SVM) and BP neural network,prepares four prediction schemes based on the monthly dissolved oxygen monitoring data of the Jinghong Power Station in Xishuangbanna,a national important water supply source in Yunnan Province,from January 2009 to September 2020,optimizes the key parameters of SVM and weight threshold of BP neural network by SOA to construct SOA-SVM and SOA-BP models,predicts the dissolved oxygen of Jinghong Power Station based on the models,and compares the prediction results with those of SVM and BP models.The results show that:The absolute values of the average relative errors of the SOA-SVM and SOA-BP models for the 4 schemes of dissolved oxygen prediction are between 4.07%~4.98% and 3.85%~4.83%,and that of the average absolute errors are 0.309~0.374 mg/L and 0.294~0.371 mg/L,respectively.With better prediction accuracy than SVM and BP models,they have good prediction accuracy and generalization ability.SOA can effectively optimize the key parameters of SVM and weight threshold of BP neural network.SOA-SVM and SOA-BP models are feasible for dissolved oxygen prediction,which can provide references for related prediction research.…”
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Multi-layer Embedded Optimization of Microgrid Capacity Considering Price and Incentive/Compensation Coupling Mechanism by Xianhui ZHU, Xu HU, Nan SHI, Yao ZHANG, Jingwen ZHONG

“…This study proposes a collaborative optimization idea of source and load sides by combining multiple response mechanisms to fully tap the ability of two-way interaction between supply and demand sides to stabilize the difference between source and load in the microgrid. …”
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Research on Multi-Machine Pre-Synchronization Control and Optimization Based on Parallel Recovery Black Start by Zhongping Ruan, Shuye Ding, Yizhi Chen

“…Simulation results show that the proposed method suppresses frequency overshoot and system disturbances during a multi-source black start, significantly enhancing microgrid restoration capability and operational stability.…”
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A diffractometer project for Brazilian Multipurpose Reactor (RMB): McStas simulations and instrument optimization by Alexandre Pinho dos Santos Souza, Luiz Paulo de Oliveira, Fabiano Yokaichiya, Frederico Antonio Genezini, Margareth Kazuyo Kobayashi Dias Franco

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Proton Exchange Membrane Fuel Cells: An Effective Neural Fuzzy System for Optimal Power Tracking by Assala Bouguerra, Abd Essalam Badoud, Saad Mekheilef

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Optimization of Laser Cutting Parameters for Mild Steel using Regression Analysis and Differential Evolution Algorithm by Sayit Özbey, İsmet Tıkız, Aysen Şimşek Kandemir

“…Using the differential evolution optimization method, the minimum surface roughness was calculated as 0.442 µm. …”
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Voltage Optimal Control Strategy for Distribution Networks with Multiple Integrated Photovoltaic and Energy Storage Machines by Jinglin HAN, Ping HU, Ruosong HOU, Zhiyong CHEN, Hongtao LI, Yuanyuan CHAI

“…Therefore, a voltage optimal control strategy that combines the centralized optimization and distributed real-time control is presented for DNs with multiple integrated PV and energy storage (ES) machines. …”
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Practical Evaluation Framework for Real-Time Multi-Object Tracking: Achieving Optimal and Realistic Performance by Jumabek Alikhanov, Dilshod Obidov, Mirsaid Abdurasulov, Hakil Kim

“…In contrast, those who are unaware of these optimizations may only achieve a HOTA score of 10%. This finding underscores the critical advantage offered by our evaluation method. …”
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Optimization Dispatch of Distribution Network–Prosumer Group–Prosumer Considering Flexible Reserve Resources of Prosumer by Hao Zhong, Lanfang Li, Qiujie Wang, Xueting Wang, Xinghuo Wang

“…The results show that the optimal method proposed in this paper can fully utilize flexible reserve resources from prosumers, improve the economy of distribution network operations, and reduce the pressure of providing reserves using the upper grid.…”
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Reserch on Low-Carbon Optimal Operation of Offshore Oil and Gas Micro Integrated Energy System by Qian LI, Haitao HUANG, Xiaobin YAN, Changjiang LIAO, Xin PENG, Anan ZHANG

“…Considering the uncertainty of source and load, a stochastic fuzzy economic optimal scheduling model is constructed to realize the coordinated optimization of the system. …”
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Towards Efficiency and Endurance: Energy–Aerodynamic Co-Optimization for Solar-Powered Micro Air Vehicles by Weicheng Di, Xin Dong, Zixing Wei, Haoji Liu, Zhan Tu, Daochun Li, Jinwu Xiang

“…In addition to that, the aerodynamic performance is evaluated through computational fluid dynamics (CFD) simulations based on the Reynolds-Averaged Navier–Stokes (RANS) method. A multi-objective optimization approach simultaneously considers photovoltaic energy generation and aerodynamic efficiency. …”
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Scheduling Optimization of Electric Rubber-Tired Vehicles in Underground Coal Mines Based on Constraint Programming by Maoquan Wan, Hao Li, Hao Wang, Jie Hou

“…A novel RFID–vision fusion positioning system, leveraging multi-source data to mitigate signal interference in underground environments, provides real-time, reliable spatiotemporal coordinates for the scheduling model. …”
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Optimization of Deep Eutectic Solvents Extraction Process of Polysaccharides from Morchella septimelata and Probiotics Proliferation by Longying PEI, Li YANG, Sidan WANG, Xudong ZHAO, Xiaoyu WANG, Heng XU, Heng ZHANG, Yuting ZHOU, Wei LIU

“…The results demonstrated that the optimal composition of DESs was choline chloride and citric acid (molar ratio 1:2), and that the optimal process for polysaccharide extraction was 44% water content, 62 ℃, 65 min and a 1:42 g/mL material-liquid ratio. …”
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Comparative analysis of brushless DC and switched reluctance motors for optimizing off-grid water pumping by Avinash Kumar, Sanjay Marwaha, Manpreet Singh Manna, Anupma Marwaha, Rajat Kumar, Mohammad Amir, Mohit Bajaj, Ievgen Zaitsev

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Optimized Mask-RCNN model for particle chain segmentation based on improved online ferrograph sensor by Shuo Wang, Miao Wan, Tonghai Wu, Zichen Bai, Kunpeng Wang

“…To address this issue, an integrated optimization method is developed that focuses on two aspects: the structural re-design of the online ferrograph sensor and the intelligent segmentation of particle chains. …”
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Power electronics for green hydrogen generation with focus on methods, topologies, and comparative analysis by AlAmir Hassan, Omar Abdel-Rahim, Mohit Bajaj, Ievgen Zaitsev

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Dynamic weighting factor assignment method for the predictive control of electrical drives by Kristóf Bándy, Péter Stumpf

“…Furthermore, the method determines the optimal value of weighting factors in real‐time with low added calculation complexity. …”
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A Novel Classification Method for Flutter Signals Based on the CNN and STFT by Shiqiang Duan, Hua Zheng, Junhao Liu

“…This novel flutter signal processing and classification method works by combining a convolutional neural network (CNN) with time-frequency analysis. …”
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