BIM-Based Automatic Extraction of Daily Concrete and Formwork Requirements for Site Work Planning by Van-Hoan Pham, Po-Han Chen, Quan Nguyen, Diep-Thuy Duong

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Optimization of dual-layer flow field in a water electrolyzer using a data-driven surrogate model by Lizhen Wu, Zhefei Pan, Shu Yuan, Xiaoyu Huo, Qiang Zheng, Xiaohui Yan, Liang An

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Methodology of Determining the Location of the Distribution Center of Material Flows in a Combined Scheme of Goods Delivery by Svetlana A. Zhestkova

“…Despite the sufficient number of existing ways to solve this problem, they have some disadvantages: they are not entirely realistic and do not completely meet the requirements of logistical optimization. Namely, existing algorithms do not take into account the need to visit the branches of the transport graph several times and the curvature of the movement trajectory.The developed technique has greater practical application because it deals with determining the optimal location of the distribution center based on the criterion of full vehicle loading, using piecewise linear approximation to account for the curvature of routes, forming delivery routes using the accurate fictitious nodes and branches’ method (FNB) to optimize transportation and minimize overall logistical costs. …”
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A new InSAR-based framework for assessing tailings dam failure risks: With the robust separation of consolidation settlements by Zefa Yang, Xiangyu Huang, Jingze Li, Zhiwei Li, Qifeng He, Jun Hu

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A Multi-Mode Switching Energy Management Strategy Based on Travel Habits for Range-Extended Electric Vehicle by Zhenhai Gao, Guoqing Zhang, Hanwu Liu, Cheng Chang, Jingwen Dong, Rongrong He, Yu Cai

“…By statistically analyzing vehicle travel data, this study constructs the urban road network framework as the foundational dataset. …”
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A Building-Block Favoring Method for the Topology Optimization of Internal Antenna Design by Yen-Sheng Chen

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A Novel Hybrid Radial Basis Function Method for Predicting the Fresh and Hardened Properties of Self-Compacting Concrete by Zhangabay Nurlan

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Adaptive Security in ODMAC for Multihop Energy Harvesting Wireless Sensor Networks by Alessio Di Mauro, Xenofon Fafoutis, Nicola Dragoni

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Designing of a dynamic logistics platform for optimization of truck assignment and its route for KINZA company by Osamah Abdulhameed, Sali Ghanem, Rafal Sadeq, Reemas Al Ghamdi, Dalal Al Mazyad, Naveed Ahmed

“… A consideration of the integral variables of customer location, traffic flow, and road conditions to determine the best feasible delivery routes is a big challenge in Logistical operations. …”
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IAP: Intrusion-Tolerant Malicious Data Injection Attack Analysis and Processing in Traffic Flow Data Collection Based on VANETs by Nan Ding, Guozhen Tan, Wei Zhang

“…Next, we propose an intrusion-tolerant security algorithm to protect traffic flow data collection in VANETs from malicious data injection attacks, that is, IA 2 P, without any security codes or authentication. …”
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Applying Machine Learning to Predict Intercity Bus Ticket Prices During the Holiday Season by Rifandi Almanda, Tety Elida

“…This study aims to analyze passenger behavior, route potential, conduct preventive maintenance planning, and evaluate the alignment between ticket pricing, contribution margin, and cost ratio using a machine learning approach with the Random Forest Regression algorithm. The machine learning model was developed using data on route masters, fleet details, travel costs, ticket prices, holidays, and transaction records of revenue and operational expenses. …”
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Multiple probabilistic traveling salesman problem in the coordination of drug transportation-In the context of sustainability goals and Industry 4.0. by Sebastian Twaróg, Krzysztof Szwarc, Martyna Wronka-Pośpiech, Małgorzata Dobrowolska, Anna Urbanek

“…Improving the effectiveness of route planning, especially in road transport deliveries is a challenge we need to face in the context of advancing climate change and the sustainable development goals. …”
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System-in-the-Loop Test System With Mixed-Reality for Autonomous Ground Vehicle (AGV) and Military Applications by Hyunsung Tae, Saedong Yeo, Sukhyun Hwang, Seogu Park, Gyuhwan Hwang

“…Implementing a mixed reality test system for military applications presents specific challenges due to the diverse nature of missions and the complexity of unpaved road environments. To address these challenges and develop a SysIL test system for military applications, we propose a novel real-time Light Detection and Ranging (LiDAR) augmentation algorithm and a pose estimation improvement process within a mixed reality framework. …”
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Multi-scenario analysis of green water resource efficiency under carbon emission constraints in the Chengdu-Chongqing urban agglomeration, China: A system dynamics approach by Keyao Yu, Zhigang Li

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Individual Travel Knowledge Graph-Based Public Transport Commuter Identification: A Mixed Data Learning Approach by Song Hu, Jiancheng Weng, Quan Liang, Wei Zhou, Peizhao Wang

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Variable Speed Limit Strategies Based on the Macro Hierarchical Control Traffic Flow Model by Shubin Li, Tao Wang, Hualing Ren, Baiying Shi, Xiangke Kong, Jianyong Chai, Xuejuan Wang

“…Then, the prediction information of traffic variables and the VSL strategy are introduced to macro hierarchical control traffic flow model. A solution algorithm is further developed to find the optimal parameters of VSL by minimizing the total travel time and delay. …”
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Learning-Enhanced Differential Evolution for Multi-Mode Resource-Constrained Multi-Project Scheduling Problem in Industrial Prefabrication by Zijie Xing, Chen Chen, Robert Lee Kong Tiong

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A virtual rail train path recognition method based on binocular stereo vision by ZENG Junwei, GENG Li, LU Chenyang, REN Lihui

“…Meanwhile, a binocular matching algorithm based on multi-target tracking was proposed, addressing the drawbacks of general binocular matching algorithms including substantial computations and deficient ability to match repeated objects. …”
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Detection and Optimization of Traffic Networks Based on Voronoi Diagram by Rui Tao, Jian Liu, Yuqing Song, Rui Peng, Dali Zhang, Jiangang Qiao

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A Novel Time Series Prediction Approach Based on a Hybridization of Least Squares Support Vector Regression and Swarm Intelligence by Nhat-Duc Hoang, Anh-Duc Pham, Minh-Tu Cao

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