Solar Cell Defects Detection Based on Photoluminescence Images and Upgraded YOLOv5 Model by Gengcong Xu, Jinhua Huang, Weidong Gong, Jiahui Teng

“…Experimental results show that the optimized model’s mAP reaches 91.5%, which is 20.3% higher than the original model. …”
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Characterization of kaolin dispersion using acoustic and electroacoustic spectroscopy by Dohnalová Ž., Svoboda L., Šulcová P.

“…The second part is focused on the determination of particle size distribution with respect to dispersing conditions, such as the optimal dispersing agent (Na2SiO3, (NaPO3)6, Na4P2O7 or Busperse), time and power of ultrasonication and also the tracking of dispersion stability that is expressed by the measuring of particle size distribution during certain time period.…”
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China’s carbon labeling legal system and green supply chain management from the perspective of sustainability: status quo, implementation problems and legislative recommendations by Jiangang Qi, Zhaodi Yu

“…This transformation would formalize the CLS as a legislative tool, thereby promoting green supply chain transformation and optimizing decision-making. These findings provide valuable insights for scholars, policymakers, and legislators, offering a practical roadmap for advancing CLS legislation and supporting China’s dual carbon targets.…”
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Review of Research on Tooth Surface Error Control of Large CNC Gear Form Grinding by Zhiwei Chen, Shuang Ding, Zhanqun Song, Zhongyu Wang

“…Reviewing the research and development of gear form grinding tooth surface error control at home and abroad， the research achievements and existing problems at home and abroad in recent years from the three error sources which are the grinding wheel dressing system error，gear grinding system error and on-machine inspection system error are discussed， proposes directions and contents that need further research which are the construction of a closed-loop grinding system of “grinding wheel dressing，gear form grinding，on-machine evaluation of tooth surface error，reverse traceability of machine tool errors & error tracking compensation” and the realization of the improvement of grinding accuracy and dressing accuracy，carries out research on tooth surface error mapping modeling，tooth surface error on-machine evaluation and tooth surface error tracking correction method，and optimizes the on-machine inspection and compensation system. …”
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Implications of Spatiotemporal Data Aggregation on Short-Term Traffic Prediction Using Machine Learning Algorithms by Rivindu Weerasekera, Mohan Sridharan, Prakash Ranjitkar

“…Despite being a mature field, short-term traffic prediction still poses some open problems related to the choice of optimal data resolution, prediction of nonrecurring congestion, and the modelling of relevant spatiotemporal dependencies. …”
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Active Suspension of Truck Seat by Masaaki Kawana, Taro Shimogo

“…In this paper, a control system is designed, using optimal control theory, which minimizes rms vertical acceleration at a point representing the driver’s hip point. …”
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Lightweight attention-based SAR ship detector by YU Nanjing, FENG Daquan, ZHU Ying, ZHANG Hengjia, LU Ping

“…A spatial pyramid pooling module based on cross-stage partial connections optimized the quality of multi-scale feature fusion, which replaced the parallel max-pooling group with large kernels with the serial max-poolings with small kernels to improve the inference speed. …”
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Machine-Vision-Based Enhanced Deep Genetic Algorithm for Robot Action Analysis by Guifeng Wang, Lu-ming Zhang, Yichuan Sheng

“…Experimental inference have shown that the BAS-GA algorithm rule achieves the optimal conclusion similar to the pseudo-annealing algorithmic program plant. …”
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A Novel Approach to Face Verification Based on Second-Order Face-Pair Representation by Qiang Hua, Chunru Dong, Feng Zhang

“…However, few of them addressed the joint optimal solutions of these two issues in a unified framework. …”
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Effect of segregations on mechanical properties and crack propagation in spring steel by B. Žužek, M. Sedlacek, B. Podgornik

“…There are different possibilities of improving properties of spring steels, from modifying the chemical composition of steels to optimizing the deformation process and changing the heat treatment parameters. …”
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A grounded theory based kano model to develop age-friendly housing retrofit strategies for older people in China by Erxin Tu, Ying Zhou

“…These findings offer a basis for optimizing AFH retrofit subsidy policies for older adults with varying physical abilities and for cities at different economic levels.…”
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Perception Analysis and Early Warning of Home-Based Care Health Information Based on the Internet of Things by Yi Mao, Lei Zhang, Xin Wu

“…In order to improve the accuracy of prediction, the DS evidence theory is used to optimize the traditional BP neural network (BPNN) algorithm and conduct experimental tests. …”
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Investigation on Mercury Reemission from Limestone-Gypsum Wet Flue Gas Desulfurization Slurry by Chuanmin Chen, Songtao Liu, Yang Gao, Yongchao Liu

“…The present findings could be valuable for industrial application of characterizing and optimizing mercury control in wet FGD systems.…”
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A Continuous Deviation-Flow Location Problem for an Alternative-Fuel Refueling Station on a Tree-Like Transportation Network by Sang Jin Kweon, Seong Wook Hwang, Jose A. Ventura

“…Then, an efficient algorithm is used to determine the set of optimal locations for the refueling station that maximizes the total traffic flow covered. …”
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Fabrication of Heterogeneous TiO2-CdS Nanotubular Arrays on Transparent Conductive Substrate and Their Photoelectrochemical Properties by Jing Liu, Chenhui Meng, Zhaoyue Liu

“…The anodized TiO2 nanotubular arrays were firstly detached from Ti substrate by anodization under a high voltage of 120 V and then transferred to FTO substrate using TiO2 (P25) paste as a binder, followed by sensitization with CdS nanoparticles. After optimizing the deposition cycles of CdS nanoparti‐ cles, the TCHNTAs on FTO substrate demonstrated an enhanced photocurrent density in the Na2S/Na2SO3 electrolyte under front-side illumination from the FTO side, which improved by ~ 21% when compared with the photocurrent density under back-side illumination from the TiO2-CdS side. …”
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Kaji eksperimental pengaruh debit dan kemiringan poros terhadap daya mekanik prototype turbin ulir tipe AH-01 dan AH-02 by Adly Havendri, Yul Hizhar, Oding Syamiro Perdana

“…The AH-01 and AH-02 screw turbine prototypes have been made at Andalas University and testing was necessary to determine the optimal discharge for mechanical performance. Testing of the screw turbine prototype type AH-01 (screw angle 23°) and AH-02 (screw angle 26°) was carried out by varying the flow rate and shaft angle for the two types of screw turbine prototypes to determine mechanical performance and efficiency of the turbines. …”
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Fast and Reliable Locating of Points with the Maximum Value of Total Electromagnetic Field Using a Modern Experimental Method for Radio Coverage in Urban Environment by Petar S. Medjedovic, Darko S. Suka

“…For this reason it was necessary to make an optimal choice from a dozen of measurement points with the maximum value levels of total EM field. …”
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Guard Dogs to Protect Sheep Grazing in Fenced Pastures Against Wolf: a New and Still Challenging Practice by Baptiste Potet, Charles-Henri Moulin, Michel Meuret

“…Within their group, the guard dogs can play complementary roles and this optimizes protection. The rearrangement of dog groups during the year can cause difficulties. …”
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Evolution of Theoretical Approaches to the Study of Debt Security by Kirov Bohdan S.

“…In particular, debt security is proposed to be considered as the optimal level of debt burden, which allows to maintain sustainable socioeconomic development of the State, forming domestic demand and the necessary unshakable level of independence of the State. …”
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Leveraging AHP and transfer learning in machine learning for improved prediction of infectious disease outbreaks by Reham Abdallah, Sayed Abdelgaber, Hanan Ali Sayed

“…Notably, in the context of Chikungunya, this model achieves an optimal balance between precision and recall, with an accuracy of 93.31%, a precision of 57%, and a recall of 63%, highlighting its reliability for effective outbreak prediction.…”
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