A Comprehensive Framework for Transportation Infrastructure Digitalization: TJYRoad-Net for Enhanced Point Cloud Segmentation by Zhen Yang, Mingxuan Wang, Shikun Xie

“…These applications demonstrate the versatility and efficiency of the proposed methods in modern traffic system simulations.…”
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A lightweight network for traffic sign detection via multiple scale context awareness and semantic information guidance by Chenjie Du, Siyu Su, Chenwei Lin, Yingbiao Yao, Ran Jin, Xinhua Hong

“…In this paper, we propose MASG-Net, a lightweight detection network designed to improve the accuracy and efficiency of traffic sign detection. First, we introduce a channel attention mechanism into MobileNetV3 to create a novel E-block structure and design E-mobilenet, a lightweight backbone network, to replace the backbone in YOLOv4-tiny, significantly enhancing feature extraction while reducing parameters. …”
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An MCM-Enhanced Compressive Sensing for Weak Fault Feature Extraction of Rolling Element Bearings under Variable Speeds by Ya He, Kun Feng, Minghui Hu, Jinmiao Cui

“…The core of this scheme is as follows: (1) the principal mode of VMD with better sparsity replaces the raw signal for compressive sensing; (2) all these modes contain the time-frequency characteristics of the raw signal; (3) a new measurement matrix called mode-circulant matrix (MCM) is defined by circulating the mode matrix, and when the amount of samples is shrunk, the sensing efficiency can be enhanced greatly. …”
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Study on Arrival Aircraft Sequencing Based on Optimization of Point Merge Procedure by Yong Tian, Can Xu, Mengyuan Sun, Chao Li, Ruofei Sun

“…Particularly for arrival aircraft, the extraholding and delay not only increase the workload of air traffic controllers and aircrew but also reduce the operational efficiency. To struggle with this issue, it is crucial to study how to improve the operational efficiency of arrival aircraft. …”
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Investigation of a Boiler's Furnace Aerodynamics with a Vortex Solid Fuel Combustion Scheme on Physical and Mathematical Models by Prokhorov V.B., Chernov S.L., Kirichkov V.S., Kaverin A.A.

“…The important problem of developing the low-cost technologies that will be able to provide a deep decrease in the concentration of nitrogen oxides while maintaining fuel burn-up efficiency is considered. This paper presents the results of the aerodynamics study of the furnace of boiler TPP-210A on the base of the physical and mathematical models in the case when boiler retrofitting from liquid to solid slag removal with two to three times reduction of nitrogen oxide emissions and replacing the vortex burners with direct-flow burners. …”
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A Two-Stage Planning Method for Rural Photovoltaic Inspection Path Planning Based on the Crested Porcupine Algorithm by Xinyu He, Xiaohui Yang, Shaoyang Chen, Zihao Wu, Xianglin Kuang, Qi Zhou

“…The simulation results verify the advantages of this method, achieving significantly shorter path lengths, higher computational efficiency, and stronger stability compared to the traditional solutions, thereby improving the efficiency of rural PV inspection. …”
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Comprehensive Thermodynamic Performance Evaluation of a Novel Dual-Shaft Solid Oxide Fuel Cell Hybrid Propulsion System by Jinghui Xu, Xizhen Wang, Zepeng Wang, Kaiqiang Yang, Xueshun Li, Yongjun Zhao

“…Electric aircraft play a key role in achieving sustainable aviation, especially for large civil aircraft, where reducing emissions, improving the fuel efficiency, and enabling flexible power regulation are essential. …”
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Diesel Engine Urea Injection Optimization Based on the Crested Porcupine Optimizer and Genetic Algorithm by Xu Chen, Changhai Ma, Quanli Dou, Shuzhan Bai, Ke Sun, Zhenguo Li

“…In this study, test data were obtained from an engine test stand and a Support Vector Machine (SVM) was developed using the test data to predict NOx conversion efficiency and NH₃ slip. The SVM model was optimized using the Crested Porcupine Optimizer (CPO) to improve its prediction accuracy and was made to replace the mathematical model to save computational time. …”
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Numerical simulation of oily sludge blending in large coal-fired boilers and its engineering application by Yongping GU, Jianbo WU, Fanzhi ZHANG, Haidan ZHANG, Hui ZHANG, Guangxue ZHANG

“…Additionally, burning oily sludge led to a decrease in the carbon content of the fly ash, thereby improving boiler efficiency. Secondly, this technical approach was implemented in practice on a 330 MW boiler. …”
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Cost-effective solar-driven configurations for post-combustion carbon capture at Abadan Power Plant: MEA, DEA, and DGA absorption-based by Farzin Hosseinifard, Milad Hosseinpour, Mohsen Salimi, Majid Amidpour

“…This study used Aspen HYSYS v11 to simulate and optimize various PCC configurations to enhance energy efficiency and reduce costs. The analysis compared three common amines monoethanolamine (MEA), diethanolamine (DEA), and diglycolamine (DGA) with DGA demonstrating the most significant energy savings. …”
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VRU-YOLO: A Small Object Detection Algorithm for Vulnerable Road Users in Complex Scenes by Yunxiang Liu, Yuqing Shi

“…Additionally, a lightweight Optimized Shared Detection Head (OSDH-Head) is introduced, reducing computational complexity while improving detection efficiency. Finally, to alleviate the deficiencies of traditional loss functions in shape matching and computational efficiency, we propose the Wise-Powerful Intersection over Union (WPIoU) loss function, which further optimizes the regression of target bounding boxes. …”
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GLS-YOLO: A Lightweight Tea Bud Detection Model in Complex Scenarios by Shanshan Li, Zhe Zhang, Shijun Li

“…The efficiency of tea bud harvesting has been greatly enhanced, and human labor intensity significantly reduced, through the mechanization and intelligent management of tea plantations. …”
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SAG-YOLO: A Lightweight Real-Time One-Day-Old Chick Gender Detection Method by Yulong Chang, Rongqian Sun, Zheng Yang, Shijun Li, Qiaohua Wang

“…Firstly, the model reduces both parameter size and computational complexity by replacing the original feature extraction with the StarNet lightweight Backbone. …”
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Development of data driven machine learning models for the prediction and design of pyrimidine corrosion inhibitors by Aeshah H. Alamri, N. Alhazmi

“…Pyrimidines have been shown as promising nontoxic corrosion inhibitors for carbon steel in acid media that can replace toxic chemicals currently in use. However, the discovery of this important corrosion inhibitor has mainly be conducted by expensive trial and error experimental approaches. …”
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Antimicrobial peptides as promising additives to Awassi lambs nutrition by A. M. M. Mani

“…In conclusion, AMPs have proven to be promising additives to replace antibiotics in lamb feed.…”

Cost-Effective Energy Retrofit Pathways for Buildings: A Case Study in Greece by Charikleia Karakosta, Isaak Vryzidis

“…The study evaluates a series of retrofit measures, including ceiling insulation, high-efficiency lighting replacements, and boiler modernization, against both technical performance criteria and financial viability. …”
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Research on agricultural disease recognition methods based on very large Kernel convolutional network-RepLKNet by Guoquan Pei, Xueying Qian, Bing Zhou, Zigao Liu, Wendou Wu

“…With the rapid advancement of deep learning, the accuracy and efficiency of plant disease identification have substantially improved. …”
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Multi-Condition Magnetic Core Loss Prediction and Magnetic Component Performance Optimization Based on Improved Deep Forest by Haotian Shi, Zipeng Jin

“…Finally, an information entropy and game theory-based genetic algorithm is utilized to optimize the operating conditions of magnetic components, yielding an optimal combination of low losses and high magnetic energy transfer efficiency.…”
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Reducing Methane Emissions in Ruminant Production: Methods and Their Impacts by Zhang Zifang

“…First, feed additives: Adding certain compounds or biological extracts to cattle feed can significantly reduce methane emissions. Second, efficient feeding management: Intensive management strategies, such as feeding cattle at specific times, can minimize energy loss and improve feed efficiency. …”
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Multi-objective Path Planning for AUVs Based on Improved Whale Optimization Algorithms and Fluid Disturbance Algorithms by Yuhong MA, Wen PANG, Daqi ZHU

“…An elite retention mechanism was introduced to ensure the global convergence of the algorithm through an iterative optimization framework that replaced the worst individuals with the optimal ones. …”
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