Structure Optimization Analysis for Complex Rail Vehicle Body Based on Sub-model by YU Mingyang, MI Caiying

“…The longitudinal rod, a key structure in the middle of a complex rail vehicle body’s underframe, was respectively dispersed into the solid element and shell element in the structure strength analysis for the whole body based on the operation condition of longitudinal compression, as well as the difference and defects of the two conventional modeling methods were indicated. …”
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ACGNet: An Alternating Conjugate Gradient Optimization-Based Neural Network for SAR Image Despeckling by Xin Mao, Ying Liu, Chenghao Qiu, Cong Lin

“…To address this issue, this article proposes a supervised collaborative denoising method with alternating optimization, which combines the alternating conjugate gradient method with an SAR despeckling network trained on paired noisy-clean simulated SAR data to progressively optimize image quality, thereby effectively reducing noise while preserving more details and texture information in the image. …”
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Optimizing Surface Finish and Dimensional Accuracy in 3D Printed Free-Form Objects by Farid Wajdi, Mohd Sazli Saad

“…Within this study, a squeezed hexagonal tube-shaped CAD model was employed as an experimental subject, following the principles of the Response Surface Method (RSM). The research delved into the optimization of printing parameters, particularly layer thickness and exposure time, to enhance the dimensional accuracy and surface quality of the free-form model. …”
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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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OPTIMIZING DISTRIBUTION ROUTE OF PACKED DRINKING WATER WITH THE CLARKE AND WRIGHT SAVINGS AND NEAREST NEIGHBOR METHODS (Case Study of PT. GSI) by Rian Puji Kusuma, Dwi Agustina Kurniawati, Dwi Kristanto, Noordin Mohd. Yusof, Kuan Yew Wong

“…GSI does not use any scientific method and only uses the driver’s intuition. The purpose of this study is to optimize the distribution route of the “PLG” packed drinking water delivery to obtain the minimum mileage by using the Clarke and Wright Savings and Nearest Neighbor methods. …”
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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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Design and Implementation of a Stock Purchase System for Printing Businesses Using the Waterfall Method by Mega Henia Br Ginting, Francka Sakti Lee

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Optimizing processing methods for maximum bioactive retention: comparative metabolomic analysis of dried loquat (Eriobotrya japonica) flowers and their powdered extracts by Mingzheng Duan, Jieming Feng, Jing-Han Feng, Xi Wang, Xu Xiao, Shirong He, Hengcui Guo, Wenyan Zhang, Zhumao Jiang, Tongfa Wan, Muhammad Junaid Rao

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Optimizing Diagnosis and Management of Ventilator-Associated Pneumonia: A Systematic Evaluation of Biofilm Detection Methods and Bacterial Colonization on Endotracheal Tubes by Ioana Roxana Codru, Bogdan Ioan Vintilă, Mihai Sava, Alina Simona Bereanu, Sandra Ioana Neamțu, Raluca Maria Bădilă, Victoria Bîrluțiu

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Multi-Source Coordinated Control and Parameter Optimization Methods for Frequency Stability in High-Proportion New Energy Sending-End Systems by JIANG Minghua, LI Ding, KONG Dezhen, WANG Zhuxiu, BAI Ningning, LI Zhongwen

“…However， integrating a high proportion of renewable energy poses significant challenges to the frequency security and control of power systems at the sending-end base. [Methods] To address these challenges， this study proposes a frequency control and parameter optimization method tailored for the coordinated operation of heterogeneous multi-source systems in a new high-proportion energy-sending-end base. …”
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Evaluation of external and radiological landmark methods for optimizing ultrasound-guided right internal jugular venous catheterization depth in cardiac surgery by Artid Samerchua, Panuwat Lapisatepun, Pattaranee Srichairatanakool, Tanyong Pipanmekaporn, Wariya Sukhupragarn, Settapong Boonsri, Nutchanart Bunchungmongkol, Lalita Huntrakul

“…The primary outcome compared the accuracy of external-landmark and radiological-landmark methods in estimating optimal catheter position (2 cm above to 1 cm below the SVC-RA junction), while secondary outcomes assessed their reliability and agreement with TEE. …”
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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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A Tri-Level Transaction Method for Microgrid Clusters Considering Uncertainties and Dynamic Hydrogen Prices by Hui Xiang, Xiao Liao, Yanjie Wang, Hui Cao, Xianjing Zhong, Qingshu Guan, Weiyun Ru

“…A polygonal uncertainty set method quantifies wind and solar energy uncertainties, while an enhanced interval optimization technique refines the model. …”
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Optimization of EEG-based wheelchair control: machine learning, feature selection, outlier management, and explainable AI by Amr M. Hamed, Abdel-Fattah Attia, Heba El-Behery

“…This study proposes an optimized classification framework that evaluates ten machine learning (ML) models, emphasizing ensemble methods, feature selection (FS), and outlier utilization. …”
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Generic Method for Social–Environmental System Boundary Delineation—An Amalgamation of Spatial Data Integration, Optimization, and User Control for Resource Management by Mohammad Shahriyar Parvez, Xin Feng

“…While focusing on this transboundary area, the study underscores how its framework can be generalized globally for addressing socio-environmental challenges while maintaining flexibility to accommodate local and regional specificities. …”
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Artificial Afterimage Algorithm: A New Bio-Inspired Metaheuristic Algorithm and Its Clustering Application by Murat Demir

“…Metaheuristic methods are optimization methods that look for different ways to converge to a solution to a problem where it is difficult to find a solution analytically. …”
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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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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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An improvement in the design process of sustainable peak power rating transformer for solar utility by Emir Yükselen, Ebrahim Rahimpour

“…An optimization study has been conducted using an innovative multi-objective genetic algorithm utilizing a cost function that factors in size and material costs to identify the most efficient and cost-effective design solutions.The proposed design method was then validated through thermal model simulations and experimental tests based on the photovoltaic load cycle. …”
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