Low-light image enhancement method for underground mines based on an improved Zero-DCE model by WANG Yiwei, LI Xiaoyu, WENG Zhi, BAI Fengshan

“…Additionally, machine learning-based image enhancement methods face challenges in collecting paired low-light and normal-light image datasets. …”
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A Camera Calibration Method for Temperature Measurements of Incandescent Objects Based on Quantum Efficiency Estimation by Vittorio Sala, Ambra Vandone, Michele Banfi, Federico Mazzucato, Stefano Baraldo, Anna Valente

“…Infrared thermal cameras require knowledge of the emissivity coefficient, while multispectral pyrometers provide fast and accurate temperature measurements with limited spatial resolution. …”
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Development of an Analytical Method for the Determination of Cymoxanil in Potato Flour Samples by High Performance Liquid Chromatography by Tuğçe Unutkan Gösterişli

“…Proposed method was then implemented for the determination of selected fungicide in potato flour samples with acceptable % recoveries in the range of 81.4–112.9%, while the values of relative standard deviation (RSD) were below 10% showing a satisfactory applicability for cymoxanil in such complex real samples matrix.…”
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<i>DSW-YOLO</i>-Based Green Pepper Detection Method Under Complex Environments by Yukuan Han, Gaifeng Ren, Jiarui Zhang, Yuxin Du, Guoqiang Bao, Lijun Cheng, Hongwen Yan

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Device-edge collaborative occluded face recognition method based on cross-domain feature fusion by Puning Zhang, Lei Tan, Zhigang Yang, Fengyi Huang, Lijun Sun, Haiying Peng

“…This method can dynamically schedule face recognition tasks and minimize recognition delay while ensuring recognition accuracy. …”
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Spatial Network Structure Characteristics of Tourism Supply in China: A Social Network Analysis Method by Hongyan Yu, Wenming Zhou

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Handling missing data of using the XGBoost-based multiple imputation by chained equations regression method by Zhao Jinbo, Li Yufu, Mo Haitao

“…Overall, the XGBoost-MICE method exhibited high imputation accuracy and stable convergence across various missing data scenarios, providing robust technical support for optimizing intelligent mine ventilation systems.…”
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The development of a web-based internship information system at DLHK-DIY using the waterfall method by Fahmi Malik Namus Akbar

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Research on named entity recognition method in cybersecurity based on soft prompt tuning and reinforcement learning by TIAN Zeshu, LIU Chunyu, ZHANG Yunting, ZHANG Jiayu, MENG Chao, ZHANG Hongli

“…By integrating the soft prompt tuning technique, the method precisely adjusted the recognition capabilities of large language models to handle the complexity of the cybersecurity domain, improving recognition accuracy for cybersecurity named entities while optimizing training efficiency. …”
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Illuminating understudied kinases: a generalizable biosensor development method applied to protein kinase N by Julius Bogomolovas, Ju Chen

“…Here, we present a novel approach for identifying peptide substrates and demonstrate its effectiveness by developing a biosensor for Protein Kinase N (PKN) activity. Our method identified a new PKN substrate peptide that we optimized for use in a fluorescent biosensor design. …”
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PbTe quantum dots highly packed monolayer fabrication by a spin coating method. by Svetlana Lyssenko, Michal Amar, Alina Sermiagin, Refael Minnes

“…Chloroform was identified as the optimal solvent for cubical QDs (~90% coverage), while hexane was more effective for spherical QDs (90%-100% coverage). …”
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Performance of a new stabilized structure-preserving finite element method for the Allen–Cahn equation by Panason Manorot, Ben Wongsaijai, Kanyuta Poochinapan

“…The scheme combines the Crank–Nicolson/Adams–Bashforth technique with the Galerkin method, complementing a thoughtfully designed stabilization term. …”
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Effects of Calcination Temperature on Preparation of Boron-Doped TiO2 by Sol-Gel Method by Wenjie Zhang, Bo Yang, Jinlei Chen

“…Boron-doped TiO2 photocatalyst was prepared by a modified sol-gel method. Being calcinated at temperatures from 300°C to 600°C, all the 3% B-TiO2 samples presented anatase TiO2 phase, and TiO2 crystallite sizes were calculated to be 7.6, 10.3, 13.6, and 27.3 nm, respectively. …”
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Investigation of directly suspended droplet micro extraction method for extraction of trihalomethane and halomethane in water samples by Seyed Kamal Rajabi, Ahmad Nikserasht

“…In this technique a micro drop of n-hexane is delivered to the surface of an aqueous sample while being agitated by a stirring bar in the bulk of solution. …”
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Material selection for milling cutter inserts in High-Speed machining applications using the CARCACS Method by Anita Kumari, Bappa Acherjee

“…Silicon carbide is consistently identified as the optimal material for a milling cutter insert, achieving unanimous top-ranking status across various MCDM methods and sensitivity analysis scenarios.…”
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Adaptive Voxel-Division Method of GNSS Water Vapor Tomography and Its Application in Data Assimilation by Yongjie Ma, Qingzhi Zhao, Duoduo Jiang, Wanqiang Yao, Yibin Yao, Jinfang Yin, Hongwu Guo, Yuan Zhai, Ying Xu, Ruikun Wang, Qingfang Chen, Jingyu Zhang

“…Specifically, the RMSE reduction in precipitation is 43.5%, while that for relative humidity, temperature, and pressure are 50.7% /58.2%, 41.1% /48.3%, and 24.2% /33.7%, respectively, under no-rain and rain conditions compared with the traditional assimilation method. …”
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Simulation analysis of residual stresses in cutting of spiral bevel gear tooth surfaces by the forming method by DAI Pengju, ZHANG Fengshou, MENG Qinghui

“…ObjectiveTo investigate the influence of the cutting speed, the depth of cut, and the feed rate on the residual stress of tooth surfaces during the form cutting of spiral bevel gears, a three-dimensional oblique cutting simulation model was established based on the characteristics of form cutting technology.MethodsSingle-factor and response surface methods were used for simulation to analyze the impact of each cutting parameter on the residual stress of the tooth surface. …”
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Image recognition method of cashmere and wool based on SVM-RFE selection with three types of features by Zhu Yaolin, Liu Kainan, Gu Meihua, Zhang Kaibing, Hu Gang

“…Experimental results demonstrate that keypoint features effectively compensate for the information loss caused by image preprocessing, while the SVM-RFE feature selection method can select the optimal feature subset relevant to the classifier so as to accurately distinguish cashmere and wool fibers.…”
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A Recognition Method for Marigold Picking Points Based on the Lightweight SCS-YOLO-Seg Model by Baojian Ma, Zhenghao Wu, Yun Ge, Bangbang Chen, He Zhang, Hao Xia, Dongyun Wang

“…To overcome this challenge, this study proposes SCS-YOLO-Seg, a novel method based on a lightweight segmentation model. …”
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The interpretable machine learning model for depression associated with heavy metals via EMR mining method by Site Xu, Mu Sun

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