A Load Estimation Method Based on Surface Crack Distribution Images of Reinforced Concrete Beams by Hongli Ding, Chun Zhang, Yinjie Zhao, Jian Yu

“…The preliminary assessment of structural status in reinforced concrete (RC) using visual indicators like surface cracks serves as the primary step in formulating maintenance and reinforcement strategies. To enhance the efficiency of load identification and damage assessment, this study proposes a novel method for determining external load levels on RC beams using structural surface crack distribution images. …”
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ISOA‐DBN: A New Data‐Driven Method for Studying the Operating Characteristics of Air Conditioners by Mengran Zhou, Qiqi Zhang, Feng Hu, Ling Wang, Guangyao Zhou, Weile Kong, Changzhen Wu, Enhan Cui

“…ABSTRACT Air conditioning load is a crucial demand response resource for optimizing energy consumption control, and its accurate analysis provides an essential basis for achieving efficient energy management. We aim at solving the problems of scarcity, single type, low accuracy and difficult construction of high‐quality data sets available for air conditioning operation characteristic models at present. …”
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Investigation of deformation of shell with waffle reinforcement during rolling and development of method for compensation of deviations forms by E. V. Krivonos

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Developing an effective teaching model in order to improve the educational level of schools by Mehdi Mohammadi, fardin Abdollahy, Rafigh Hasani

“…The statistical population of this research included academic experts familiar with the subject, and theoretical data saturation index was used to determine the sample size. In order to analyze the data, the theme analysis method was used.Research findingsIn order to examine and answer the research question, after collecting, arranging and organizing the codes resulting from each interview and based on the thematic method, key words and points in the form of an index was extracted from the interview text. …”
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Data Value-Added Service Comprehensive Evaluation Method on the Performance of Power System Big Data by Hao Zhang, Ye Liang, Hao Zhang, Jing Wang, Yuanzhuo Li, Xiaorui Rong, Hongda Gao

“…Secondly, the proposed methodology incorporates the analytic hierarchy process (AHP) and gray comprehensive evaluation method (GCE) to determine the weights of key factors affecting the value-added services. …”
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Optimization of Exhaust Emissions on FI Motorcycle using Programmable ECU and Ethanol Mixture with Taguchi Method by Purwanto Wawan, Firmansyah M. Sadly, Fajar Muhammad, Gunawan Akmal, Arif Ahmad, Sugiarto Toto, Putra Dwi Sudarno

“…The study's goal is to determine the best settings for reducing exhaust emissions. …”
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Adaptive damage analysis method for ultimate bearing capacity of steel truss structures with box section by JingJing Han, WeiWei Xie, Wei Zhang, LuFeng Yang

“…Through numerical examples, the damage criterion in the method was able to adaptively determine whether component stiffness degradation occurred, eliminating the requirement to consider the interaction between stress-strain fields and damage, thereby reducing the difficulty of coupled calculations and enhancing computational efficiency in structural damage analysis. …”
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Research on the Oil Cooling Structure Design Method of Permanent Magnet Synchronous Motors for Electric Vehicles by Shijun Chen, Cheng Miao, Xinyu Chen, Wei Qian, Songchao Chu

“…Consequently, cooling methods and heat conduction in stator windings become critical. …”
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Implementation of the Borda Method for Selecting Winners in the Tahfeez Tahmeed and Prayer Competition by DPD Recital Alhidayah by Miftah Rizki Marpaung, Edi Kurniawan, Elly Rahayu

“…This research was conducted to develop a decision support system that can assist the judges in determining the winner of the competition objectively, efficiently, and transparently. …”
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Research on the Root Cause Tracing Method of the Change in Access to Electricity Index Based on Data Mining by Hongshan Luo, Xu Zhou, Weiqi Zheng, Yuling He

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A study on temperature monitoring method for inverter IGBT based on memory recurrent neural network by Yunhe Liu, Tengfei Guo, Jinda Li, Chunxing Pei, Jianqiang Liu

“…The simulation model of a high-speed train traction system has been established to explore the accuracy and efficiency of MMALSTM-based prediction methods for IGBT power module junction temperature. …”
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Study on rapid construction of microemulsion system based on EACN of crude oil measured by the direct method by Yibo Li, Min Yang, Tianshuang He, Jutao Chen

“…The purpose of this study is to delineate the applicability of the direct method for determining the equivalent alkane carbon number (EACN), a crucial parameter in the hydrophilic-lipophilic deviation (HLD) theory, and to validate the efficacy of microemulsion systems formulated using this theory. …”
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Quantitative operation risk assessment method for power grid with large-scale distributed new energy by Shuai ZHAO, Xiaolin ZHENG, Tao LU, Xiaojing YANG, Ning JIANG, Haipeng LIU

“…Finally, the application case results of actual power grid show that the risk assessment method proposed in this paper not only improves the risk assessment accuracy and calculation efficiency of the power grid with distributed new energy, but also can more comprehensively reflect the real-time operation risk characteristics of the system.…”
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Fluid volume status detection model for patients with heart failure based on machine learning methods by Haozhe Huang, Jing Guan, Chao Feng, Jinping Feng, Ying Ao, Chen Lu

“…However, there is few efficient, rapid, or cost-effective clinical approach for determining volume status, resulting in inadequate or unsatisfactory treatment. …”
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DEVELOPMENT OF A METHOD FOR THE INTERACTIVE CONSTRUCTION OF EXPLANATIONS IN INTELLIGENT INFORMATION SYSTEMS BASED ON THE PROBABILISTIC APPROACH by Serhii Chalyi, Volodymyr Leshchynskyi

“…The method includes phases and stages of the formation of regulations and patterns of user interaction with the determination of the probability of their implementation, as well as the ordering of patterns according to the probability of their implementation. …”
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A Precise Prediction Method for Subsurface Temperatures Based on the Rock Resistivity–Temperature Coupling Model by Ri Wang, Guoshu Huang, Jian Yang, Lichao Liu, Wang Luo, Xiangyun Hu

“…However, the existing methods encounter significant challenges in predicting the distribution characteristics of deep temperature fields with both efficiency and accuracy. …”
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Quantum Computing Approach in K-Medoids Method for AIDS Disease Prediction Using Manhattan Distance by Mochamad Wahyudi, Imeldi Sintagel br Sianipar, Lise Pujiastuti, Solikhun Solikhun, Deny Kurniawan

“…The tests carried out showed that the prediction accuracy of classical and quantum methods was comparable, namely 85%. The results support the great potential of quantum computing to improve the efficiency of medical predictions. …”
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Development and validation of a green/blue UHPLC-MS/MS method for trace pharmaceutical monitoring by Marta Koziarska, Magdalena Strzebońska, Ewa Szalińska

“…This method has been validated and exemplified using a case study from the Kraków area, highlighting its high efficiency, reliability, and minimal environmental impact. …”
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Cost calculation method development for various types of engine fuel filling for first category automobiles by M. V. Banket, D. V. Shapoval, I. A. Eychler, D. S. Aleshko, I. V. Pogulyaeva

“…The use of compressed natural gas as a vehicle fuel on 1 category cars significantly increases zero mileage due to the remoteness of filling stations, which reduces the efficiency of using natural gas. The purpose of the research is to develop a methodology for calculating the cost of refueling with various types of motor fuel for 1 category cars, taking into account the location of refueling points (gas stations / gas filling stations / filling stations).Materials and Methods. …”
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A study on automatic annotation methods for watershed environmental elements based on semantic segmentation models by Peipei He, Taoxing Shen, Yafei Wang, Dantong Zhu, Qingfeng Hu, Hui Li, Weibo Yin, Yi Zhang, Ang Yang

“…In a data-driven analytical approach, this study explores the segmentation accuracy and efficiency of intelligent-interpretation neural networks from the perspectives of watershed monitoring element types and sample annotation methods. …”
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