Improved Phase Diversity Wavefront Sensing with a Deep Learning-Driven Hybrid Optimization Approach by Yangchen Wang, Ming Wen, Hongcai Ma

“…However, conventional optimization-based PDWS methods often suffer from high computational costs and sensitivity to initial values. …”
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Comprehensive Benefit Evaluation for Prefabricated Buildings Based on NSGA-II and Simulated Annealing Optimization Projection Pursuit Method by Fang Wang, Binbin Dai, Shiyu Song

“…The results indicate that: (1) the optimal projection eigenvalue of the comprehensive benefit evaluation is 1.860, and applying this method to evaluate the comprehensive benefits of prefabricated buildings yields more comprehensive and objective results; (2) the best projection vector values are ENB<inline-formula> <tex-math notation="LaTeX">$^{\mathrm {\ast }}$ </tex-math></inline-formula>(0.9944) &#x003E; SB<inline-formula> <tex-math notation="LaTeX">$^{\mathrm {\ast }}$ </tex-math></inline-formula>(0.9422) &#x003E; EB<inline-formula> <tex-math notation="LaTeX">$^{\mathrm {\ast }}$ </tex-math></inline-formula>(0.0272), indicating that environmental benefits have the greatest impact on the projection eigenvalue of comprehensive benefits, while economic benefits have the least impact; (3) there is a certain positive correlation between economic benefits and social benefits, while there is a certain negative correlation with environmental benefits.…”
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Impact of sales methods on profitability in the Japanese software industry: Resource allocation perspectives by Takaaki Ishikawa, Kiminori Gemba, Tetsuaki Oda

“…This study investigates how sales methods, service management, and resource allocation influence the operating profit margins of Japanese software companies, with a focus on marketing strategies and profitability improvement. …”
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Optimization location routing problem (LRP) of humanitarian aid distribution in Sigi district using NSGA II methods by Serli Bombang, Bonivasius Prasetya Ichiarto, Humiras Hardi Purba

“…It utilizes the NSGA-II algorithm for multi-objective optimization and the Displaced Ideal Solution (DIS) method to select the best solution from the Pareto front.…”
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Optimizing drone-based pollination method by using efficient target detection and path planning for complex durian orchards by Ruipeng Tang, Jianxun Tang, Mohamad Sofian Abu Talip, Narendra Kumar Aridas, Binghong Guan

“…This study proposes an AI-powered drone-based pollination method for complex durian orchards, integrating improved object detection and optimized path planning. …”
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An optimal integrated control strategy of urban expressway and adjacent signalized intersection with rolling horizon framework in MPC method. by Linghui Xu, Yuan Zheng, Shuichao Zhang, Longjian Wang, Xinke Fan

“…To enhance traffic system operation, this paper proposes an optimal integrated control strategy based on the model predictive control (MPC) method. …”
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A novel fault diagnosis method for gearbox based on RVMD and TELM with composite chaotic grey wolf optimizer by Xuebin Huang, Anfeng Xu, Hongbing Liu, Bingcheng Ye

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A Novel Method for Traffic Parameter Extraction and Analysis Based on Vehicle Trajectory Data for Signal Control Optimization by Yizhe Wang, Yangdong Liu, Xiaoguang Yang

“…Traditional methods also lack the ability to capture complete vehicle path information essential for signal optimization. …”
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Early thrombus detection in ECMO with optimized impedance measurements: A simulative study by Slapal Filip, Silva Diogo F., Leonhardt Steffen, Walter Marian

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Evaluation Method of Hydro-wind-photovoltaic Resource Complementarity and Scheduling Complementarity by WU Xinyu, SONG Yuhang, ZENG Boyu, WANG Yuxuan, TIAN Dahui, ZHANG Jiaao

“…These indicators establish an evaluation system from two dimensions: natural endowment matching and scheduling strategy optimization. Research in the Hongshui River Basin shows that, at a 95% reliability level, the resource compensation benefit in the basin is 13.56%, while the scheduling compensation benefit is 16.12%. …”
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Method for suppressing range sidelobes of bistatic integrated sensing and communication signal based on LFM by JI Chenxing, LI Peng, ZHANG Tianxiang, GAO Yulong

“…Focusing on modulation schemes and receiver architecture as key points of investigation, two innovative methods were proposed: phase reduction modulation and receiver structure optimization. …”
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Ultrasound and microwave assisted extraction of acorn oil (Quercus brantii): Optimization and characterization by Samaneh Niari, Nasser Hamdami, Mohsen Dalvi-Isfahan, Alain Le-Bail

“…This study aimed to optimize the extraction parameters and increase the oil yield, by comparing both microwave-assisted extraction (MAE) and ultrasound-assisted extraction (UAE) methods of extracting acorn oil (Quercus brantii). …”
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An adaptive coverage method for dynamic wireless sensor network deployment using deep reinforcement learning by Peng Zhou, Mingqi Kan, Wei Chen, Yingchao Wang, Bingyu Cao

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Structure Optimization of Bogie Frame for Suspended Monorail Vehicle by Jianwei ZHU

“…Based on the results of static strength analysis, the topology optimization and size optimization of suspended monorail vehicle bogie frame were carried out by combining structural optimization theory with finite element analysis method. …”
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Impact of ISTA and FISTA iterative optimization algorithms on electrical impedance tomography image reconstruction by Nguyen Diep Quoc Tuan, Huynh Hoang Nhut, Ven Huynh Thanh, Cao Dinh Minh Quan, Tran Anh Tu, Tran Trung Nghia

“…The paper concludes that while ISTA and FISTA significantly enhance EIT image reconstruction performance, the quality of the reconstructed images heavily depends on the choice of regularization methods and parameters, which are crucial to the reconstruction process.…”
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Formation control method for multiple flight vehicles based on adaptive dynamic programming by Jie XIAO, Qingpu TANG, Jiale LI, Guofei LI

“…To address these challenges, advanced control methods are essential. Reinforcement learning theory has emerged as a powerful approach to solving optimal control problems in nonlinear systems. …”
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A novel interval prediction method in wind speed based on deep learning and combination prediction by XueJun Chen, Tao Han, Peng Cheng, Xuanfang Da

“…Abstract The combined method for interval forecasting (CMIF) is proposed for improved real-time prediction of wind speed uncertainty to facilitate wind turbine operation and power grid dispatching. …”
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Comparative Analysis of Some Methods and Algorithms for Traffic Optimization in Urban Environments Based on Maximum Flow and Deep Reinforcement Learning by Silvia Baeva, Nikolay Hinov, Plamen Nakov

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Optimization Methods for the Cylinder Mouth Structure of Type IV On-board Hydrogen Storage Cylinder under Various Influencing Factors by Zhang Enhui, Wang Zhiqiang, Shi Xiaolong, Zhao Yangchun, Zhang Jiahui, Liu Tao, Wang Wenchao

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A systematic review on environmentally friendly hydrogen production methods: comparative analysis of reactor technologies for optimal efficiency and sustainability by Aisha Hamid, Raja Razuan Raja Deris, Siti Nur Amira Shaffee, Taufiq Yap Yun Hin, Divine Senanu Ametefe, Mohd Lokman Ibrahim

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