Tomato Yield Estimation Using an Improved Lightweight YOLO11n Network and an Optimized Region Tracking-Counting Method by Aichen Wang, Yuanzhi Xu, Dong Hu, Liyuan Zhang, Ao Li, Qingzhen Zhu, Jizhan Liu

“…The improved lightweight YOLO11n model is adaptable to edge computing devices, enabling tomato yield estimation while maintaining high detection accuracy. An optimized region tracking-counting method was proposed, combining target tracking and region detection to count the detected fruits. …”
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Simultaneous Optimization of Delamination and Thrust Force during Drilling of GFRP Laminate with a Core Drill by E-PIV Method by Jalumedi Babu, M. Venkata Ramana, Dubba Vivek, C. H. Sathyadev Reddy

“…The present study aims to optimize the drilling settings by considering various performance aspects using the entropy weight-coupled proximity indexed value method. …”
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A new type of sustainable operation method for urban rail transit: Joint optimization of train route planning and timetabling by Guorong Fan, Chao Li, Xinyun Shao, Fangzheng Zhen, Yao Huang

“…Results show that the joint optimization model demonstrates more effective adaptability to the passenger flow characteristics while enhancing the quality of train operation plan compared with traditional methods. …”
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A Novel Phase Error Estimation Method for TomoSAR Imaging Based on Adaptive Momentum Optimizer and Joint Criterion by Muhan Wang, Silin Gao, Xiaolan Qiu, Zhe Zhang

“…Compared to conventional phase error calibration methods in a two-step iterative framework, our proposed method considers image features and parameter coupling relationships, thus achieving higher precision estimation while saving computational costs. …”
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Operating parameter optimization and experiment of spiral outer grooved wheel seed metering device based on discrete element method by Tao Zhang, Xinglong Tang, Cong Dai, Guiying Ren

“…This demonstrates the reliability of optimizing the parameters of the spiral outer grooved wheel seed metering device through theoretical analysis and the discrete element method.…”
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Research on Multi-objective Shielding Intelligent Optimization Method Based on Non-dominated Sorting Genetic Algorithm NSGA-Ⅲ by WANG Mengqi, ZHENG Zheng, MEI Qiliang, PENG Chao, GAO Jing, ZHOU Yan

“…The multi-objective optimization algorithm outperforms traditional radiation shielding design methods in quickly finding a solution that meets the shielding requirements while simultaneously weighing multiple objectives, such as the dose rate, volume and weight of the shielding material. …”

Optimization of Francis turbine runner based on analytic hierarchy process – entropy weight method and multi-objective Lichtenberg algorithm by Xiaobo Zheng, Wei Wang, Yaping Zhao, Hao Liang, Pengcheng Guo, Zhihua Li

“…Bézier curves parameterize the runner blades, whereas the AHP-Entropy Weight method determines the optimal weight coefficients for operating conditions across the full load range (20%–100%Pr). …”
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A Design Framework for Reconfigurable Intelligent Metasurfaces Enabling Full-Space Beamforming Using Auxiliary Surface Waves by Tianke Qiu, George V. Eleftheriades

“…This paper provides a complete design framework for RISs based on the Method of Moments (MoM) to establish a multiport network and an efficient optimization scheme. …”
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Coordinated Operation of the Constituent Components of a Community Energy System to Maximize Benefits While considering the Network Constraints by A. H. Wijethunge, J. V. Wijayakulasooriya, J. B. Ekanayake, A. Polpitiya

“…In this paper, a method to maximize the utilization of the renewables while maximizing the profit of a smart community within system constraints was suggested by introducing an optimum schedule of smart appliances in the community. …”
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Collaborative optimization design method for water injection layer division and injection-production fluid allocation in high water cut reservoirs by ZHANG Xianmin, LI Shanshan, FENG Qihong, LIU Chen, LIU Xiangbin

“…By leveraging the Dung Beetle Optimizer， a collaborative optimization design method for water injection layer division and injection-production fluid allocation in high water cut reservoirs was proposed， enabling the integrated optimization design of key parameters for fine layered water injection. …”
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Bio-Inspired Observability Enhancement Method for UAV Target Localization and Sensor Bias Estimation with Bearing-Only Measurement by Qianshuai Wang, Zeyuan Li, Jicheng Peng, Kelin Lu

“…The performance metric and the distance of the UAV relative to the target are utilized as objective functions for trajectory optimization. To determine the decision variables (the UAV’s velocity and turn rate) for UAV maneuver decision making, a multi-objective optimization framework is constructed, and is subsequently solved via the nonlinear constrained multi-objective whale optimization algorithm. …”
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Optimization of polymer stake geometry by fea to enhance the retention force of automotive door panels by R. Martínez-Hinojosa, J.E. Garcia-Herrera, I.E. Garduño, H. Arcos-Gutiérrez, M.G. Navarro-Rojero, V.H. Mercado-Lemus, J.A. Betancourt Cantera

“…Models designed in the computer and developed in Siemens NX were validated through finite element analysis to quantify stiffness, maximum retention force, and stress concentration using different ANSYS software. The optimized configuration – featuring a 10 mm height, 15.5 mm length, three reinforcements, and 0.5 mm clearance – increased strength by 33.8% (234.2 N vs. the traditional 175 N design) while reducing the required manufacturing area by 74%.…”
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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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Radar-equivalent snowpack: reducing the number of snow layers while retaining their microwave properties and bulk snow mass by J. Meloche, N. R. Leroux, B. Montpetit, V. Vionnet, C. Derksen

“…Using this methodology in SWE retrieval applications, this method can be used to simplify snowpacks and reduce the number of variables to optimize while maintaining similar scattering behavior without compromising the modeled snowpack properties. …”
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Mild water deficit during maturity reduces cracking rate of greenhouse muskmelon while improving fruit quality by Qimin Xue, Hao Li, Taisheng Du

“…The comprehensive quality score based on principal component analysis and membership function method revealed that severe DI applied at entire reproductive period had optimal comprehensive quality score. …”
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Suboptimal protein intake for hypocaloric diet needs while using glucagon-like peptide-1 receptor agonists by Brittany Johnson, Tyler McGlasson, Olena Thomas, Rachel Kreider, Rachel Jones

“…Background The primary aim of this study was to evaluate protein intake of individuals while using a Glucagon-like Peptide-1 Receptor Agonist medication (GLP-1RA). …”
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Research on intelligent control of coal slime flotation based on the WOA-GRU model by DOU Zhiheng, WANG Ranfeng, QIN Xinkai, CHAI Yuqing, LI Pinyu, LIU Shutong

“…Due to the complexity of the flotation process mechanism, which makes it difficult to meet the requirements of advanced process control, a system identification modeling method was adopted. To address the low fitting accuracy of traditional identification methods, a Whale Optimization Algorithm (WOA)-based Gated Recurrent Unit (GRU) system identification model (WOA-GRU) was proposed. …”
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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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A data driven framework for optimizing droplet microfluidics with residual block and Fourier enhanced networks by Alireza Samari, Kamal Jannati, Azadeh Jafari

“…In this study, we present a data-driven framework that employs machine learning to predict droplet size and generation frequency, while simultaneously optimizing device geometry. …”
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Performance evaluation, prediction analysis and optimization of experimental ORC using artificial neural networks (ANN) by Diki Ismail Permana, Federico Fagioli, Maurizio De Lucia, Dani Rusirawan, Istvan Farkas

“…Unlike traditional Rankine cycles, ORC systems use refrigerants or mixed fluids as working fluids, which have lower boiling points than water and are environmentally friendly, allowing efficient power generation on a smaller scale and at lower temperatures (above 200°C). While many experimental studies on ORC have been conducted, significant gaps remain in accurately predicting unknown or unmeasured data and identifying optimal operating conditions. …”
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