Development of an AI model for pneumothorax imaging: Dataset and model optimization strategies for real-world deployment by Wen-Chang Tseng, Yung-Cheng Wang, Wei-Chi Chen, Kang-Ping Lin

“…Expanding the dataset, optimizing preprocessing, and training separate models for different image locations could enhance performance further.…”
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Simulation of Natural Gas Pipeline Networks Based on Roughness Optimization Algorithm and Global Mesh Refinement by Yi Yang

“…The numerical model of the natural gas pipeline system, which consists of governing equation of the pipeline fluid flow and characteristic equations of equipment, is firstly obtained by using an implicit finite difference method for discretization. The roughness identification problem is then transformed into an optimization problem by minimizing the error between measured and simulated values. …”
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Optimizing extraction of microbial DNA from urine: Advancing urinary microbiome research in bladder cancer by Chuang-Ming Zheng, Ho Won Kang, Seongmin Moon, Young Joon Byun, Won Tae Kim, Yung Hyun Choi, Sung-Kwon Moon, Xuan-Mei Piao, Seok Joong Yun

“…Purpose: This study aimed to evaluate and optimize microbial DNA extraction methods from urine, a non-invasive sample source, to enhance DNA quality, purity, and reliability for urinary microbiome research and biomarker discovery in bladder cancer. …”
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Effective deployment strategies for optimizing area coverage in multistatic sonar detection based on Cassini oval approximation and a virtual force algorithm by Liufang Fu, Ming Zhou, Linzhou Xu, Xiaoming Dong, Zhu Kou, Chunyu Kang

“…Multistatic sonar is regarded as a highly promising method for detecting quiet submarines over long distances. …”
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Direct measurement and optimization of the polarization-dependent modulation depth in super-resolution structured illumination microscopy by Linbo Wang, Simin Li, Xiaohu Chen, Xin Jin, Jie Zhang, Hui Li, Gang Wen

“…This measurement method greatly reduces the dependence of modulation depths on the samples, and then developed a polarization optimization method to achieve high modulation depth at all orientations by actively and quantitatively compensating for the additional phase difference using a combination of waveplate and a liquid crystal variable retarder (LCVR). …”
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Styles energy consumption analysis of lane-changing maneuvers in autonomous vehicles: The role of driving styles by Yu Guo, Guigen Nie, Xiaowei Zou, Dongliang Zhu, Wenliang Gao, Mi Liao

“…However, prior studies have rarely examined energy consumption during lane changes, especially with respect to different driving styles. This study addresses this gap by incorporating driving style variables and employing a quintic polynomial lane-change trajectory model, optimized through Sequential Quadratic Programming (SQP) and the Lagrange multiplier method, to assess energy consumption during lane changes. …”
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Optimizing Superior Seed Bunches: A New Approach to Artificial Pollination with Machine Learning Models by Yabani Yabani, Retna Astuti Kuswardani

“…The main focus of the study is to develop an optimization method that can improve the quality of fruit bunches and minimize waste in the production process. …”
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Optimizing the pretreatment conditions for waste glass sand in mortar focusing on the alkali-silica reaction mechanism by Minjae Son, Gyuyong Kim, Hamin Eu, Sangkyu Lee, Gyeongcheol Choe, Sasui Sasui, Sujeong Pyeon, Jeongsoo Nam

“…Additionally, the cost estimations and carbon emissions were evaluated to verify the optimization of the pretreatment conditions. The reaction products present in TGS exhibited different chemical ratios, depending on the pretreatment conditions, and affected the mechanical properties of the mortar differently. …”
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Experimental study on water migration in unsaturated loess under an electric field: optimization of electrode material by Dan Jiao, Zhiheng He, Zhiheng He, Tiehang Wang, Yonggang Zhang

“…Electroosmosis method is an environmentally friendly and low-carbon foundation treatment technique that can quickly improve soil shear strength. …”
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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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Simulation Analysis and Structure Optimization of Cooling System for Energy Storage Lithium-Ion Battery Pack by Zhoubin LIU, Tao ZHU, Wei JIANG, Xiaobo ZHANG, Jionggeng WANG, Qianqian GUAN, Qiushi ZHANG, Qingliang ZHAO

“…This article is based on the STAR-CCM+platform to optimize the structure of energy storage battery packs with different cooling methods. …”
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A coordinated optimization model for analysis of electric vehicle acceptance capacity considering compensation units by Sheng Chen, Honglue Zhang, Zhiqi Chen, Shousong Li, Tongfu Fu, Yunyun Sui

“…However, without careful consideration of optimal site selection and capacity planning, the integration of EV charging loads may induce significant overcapacity and voltage fluctuating issues.MethodsThis paper presents a coordinated optimization model for assessing the integration acceptance capacity of EV charging loads within distribution networks. …”
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Optimizing Rice Plant Disease Classification Using Data Augmentation with GANs on Convolutional Neural Networks by Tinuk Agustin, Indrawan Ady Saputro, Mochammad Luthfi Rahmadi

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NUMERICAL RESEARCH OF THE MOISTURE CONDENSATION ELIMINATION IN THE CABIN OF THE UNIFIED TECHNOLOGICAL ELECTRIC TRANSPORT VEHICLE by N. M. Filkin, A. M. Tatarkin

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Leveraging Success: The Hidden Peak in Debt and Firm Performance by Suzan Dsouza, Krishnamoorthy Kathavarayan, Franklin Mathias, Dharmesh Bhatia, Abdallah AlKhawaja

“…The study identifies the optimal leverage ratio for South African firms and shows how firm size moderates the relationship between debt and profitability, offering tailored insights for firms of different sizes. …”
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Data Siting and Capacity Optimization of Photovoltaic–Storage–Charging Stations Considering Spatiotemporal Charging Demand by Dandan Hu, Doudou Yang, Zhi-Wei Liu

“…The research results indicate that the spatiotemporal distribution characteristics of different charging demands determine whether a charging station can become a PSCS and the optimal capacity of PV and battery within the station, rather than a fixed configuration. …”
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Multi‐Objective Optimization Models for the Design of Water Distribution Networks by Exploring Scenario‐Based Approaches by M. C. Cunha, R. Magini, J. Marques

“…The increasing number of water demand data sets offers opportunities to improve the traditional deterministic design approaches of WDNs by combining statistical and optimization methods. Robust optimization (RO) takes demand uncertainty into account by studying solutions that perform well under any possible demand scenario, that is, any possible realizations of this variable in the lifetime of a WDN. …”
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Cleaning Schedule Optimization of Heat Exchangers with Fouling on Tube and Shell Sides: A Metaheuristic Approach by João P. V. de Cesaro, Mauro A. S. S. Ravagnani, Fernando D. Mele, Caliane B. B. Costa

“…However, these benefits are diminished by fouling in heat exchangers (HEXs). Current methods for optimizing cleaning schedules often report high computation times due to the transient nature of the fouling process and do not consider shell-side fouling, which can be significant for some oil fractions. …”
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DGA-ACO: Enhanced Dynamic Genetic Algorithm—Ant Colony Optimization Path Planning for Agribots by Zhenpeng Zhang, Pengyu Li, Shanglei Chai, Yukang Cui, Yibin Tian

“…Simulations in different scenarios show that DGA-ACO outperforms Dijkstra, A*, genetic algorithm, ant colony optimization, and other state-of-the-art methods. …”
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Optimization of the Initial Parameters of the Utilization Circuit of Cogeneration Combined Cycle Plant of Two Pressure Levels by Kalyutik A.A., Treshchev D.A., Treshcheva M.A.

“…The set goal is achieved based on the methods of the mathematical modeling of the thermal schemes, using the elements of thermodynamic economic analysis. …”
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