A METHOD FOR DETERMINING THE COORDINATES AND SPEED OF A MOVING OBJECT USING A MOBILE PHONE by E.I. Minakov, N.I. Khazov

“…Examples of the collected data confirming the operability of the method are given. …”

Quality prediction method for automotive body resistance spot welding based on digital twin technology by Ruiping Luo, Shengwen Zhou, Liangyi Nie, Bowen Dong

“…However, traditional prediction methods are limited by the constraints of on-site data collection, which poses challenges to the accuracy of predictions. …”
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A Maximum Entropy Multisource Information Fusion Method to Evaluate the MTBF of Low-Voltage Switchgear by Jing-Qin Wang, Zhi-Gang Zhang, Ching-Hsin Wang, Li Wang

“…The historical data of low-voltage switchgear was collected and organized from a manufacturer. …”
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Background and design of the Physical Frailty and Symptom Monitoring and Management Behaviors in Heart Failure (PRISM-HF) study: A mixed methods study by Quin E. Denfeld, Shirin O. Hiatt, Susan J. Rosenkranz, S.Albert Camacho, Christopher V. Chien, Nathan F. Dieckmann, Tyler B. Ramos, Christopher S. Lee, Barbara Riegel, Lissi Hansen

“…This paper describes the background and design of a study that addresses this knowledge gap, entitled “Physical Frailty and Symptom Monitoring and Management Behaviors in Heart Failure” (PRISM-HF). Study design and methods: PRISM-HF is a sequential mixed methods study where in Phase 1, we collect quantitative data from a sex-balanced sample of 120 adults with HF, and in Phase 2, we collect qualitative data from ∼32–40 adults from this sample, aiming to: (1) quantify associations among physical frailty, SMM behaviors, and outcomes; (2) describe the experience of SMM behaviors for physically frail and non-physically frail adults with HF; and (3) identify the SMM behavioral needs of physically frail and non-physically frail adults with HF. …”
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A Fish Target Identification and Counting Method Based on DIDSON Sonar and YOLOv5 Model by Wei Shen, Mengqi Liu, Quanshui Lu, Zhaowei Yin, Jin Zhang

“…This study is based on YOLOv5, which trains a recognition model by identifying fish targets in each frame of DIDSON images and uses the DeepSort algorithm to track and count fish targets. Field data collection was conducted at Chenhang Reservoir in Shanghai, and this method was used to process and verify the results. …”
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Short-Term Power Prediction Method for Photovoltaic Power Plants Based on ECA-MTGNN Integration by HUANG Congzhi, LIU Yantong

“…Firstly, to tackle challenges such as data missing and anomalies, data cleaning and imputation were performed on historical weather data and power data collected from a PV power plant located in northern China. …”
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Impact on wellness and adaptation by stakeholders in challenging time: A sequential explanatory mix-method study by Shuh Shing Lee, Shefaly Shorey, Tang Ching Lau, Dujeepa D. Samarasekera

“…Subsequently, qualitative data collection was gathered via semi-structured interview using a convenient sampling method. …”
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Research and application of water drainage borehole design method based on three-dimensional geological model by Zhenrong WANG

“…The mine roadway model is reconstructed through the roadway centerline with three - dimensional coordinates and relevant attributes; the coal seam model is constructed by triangulating point data and boundary data, and is dynamically updated based on the cross - layer point data during borehole construction; the hydrogeological model is constructed by processing spatial data points using the Delaunay triangulation algorithm, similar to the coal seam modeling method, and is also updated according to the control point data collected during borehole construction. …”
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Calculation of the Required Power of Electric Motors for Overhead Crane Movement Mechanisms Using the Statistical Method by Kovalenko V., Zhuravel O., Strizhak V., Iglin S., Strizhak M.

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Design of Umrah Registration Information System PT Amanah Wisata Group using Waterfall Method by Rangga Setyanto, Pratomo Setiaji, Syafiul Muzid

“…The research methodology includes the collection of primary data through interviews with administrative staff and direct observation of the registration process, as well as secondary data from literature reviews and relevant documentation. …”
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Establishing laboratory-specific reference intervals for TSH and fT4 by use of the indirect Hoffman method. by Sylwia Płaczkowska, Małgorzata Terpińska, Agnieszka Piwowar

“…<h4>Material and methods</h4>The TSH and fT4 routine examination results of hospitalized and outpatient populations were collected over five years (2015-2019), and reference limits were established by the improved Hoffmann method after the exclusion of outliers. …”
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A Two-Criteria Weather Routing Method Based on Neural Network and A-star Algorithm by Khanh Huu Doan, Anh-Tuan Dinh

“…The HIL simulator is built from equations of the ship's 6 degrees of freedom (6-DOF), models of environmental disturbances, propulsion systems, and technical records of the real ship. In fact, operating data of the real ship is collected from noon reports, which are often incomplete in terms of environmental disturbances acting on the ship, not to mention the large sampling time (usually updated once a day). …”
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STF-LPPVA: Local Privacy-Preserving Method for Vehicle Assignment Based on Spatial–Temporal Fusion by Lei Tang, Zhengxin Cao, Xin Zhou, Junzhe Zhang, Junchi Ma

“…There are user privacy risks in cloud-based vehicle dispatch platforms due to the unauthorized collection, use, and dissemination of data. However, existing data protection methods cannot balance privacy, usability, and efficiency well. …”
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Implementation Of MAUT Method for Making Website-based Tourism Recommendations in Yogyakarta based on Maps Location by M. Nuraminudin, Melany Mustika Dewi, Akhmad Dahlan

“…The problem-solving approach taken in this study is the application of the Multi-Attribute Utility Theory (MAUT) Method. The research steps involve identifying problems, needs, and key attributes, collecting tourist location and accommodation data through Google Maps and Google Business Data. …”
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Evaluating and Improving Syndrome Differentiation Thinking Ability in Large Language Models: Method Development Study by Chunliang Chen, Xinyu Wang, Ming Guan, Wenjing Yue, Yuanbin Wu, Ya Zhou, Xiaoling Wang

“…The findings demonstrated that our method significantly enhanced LLMs’ syndrome differentiation thinking. …”
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FedDDPG: A reinforcement learning method for federated learning-based vehicle trajectory prediction by Jinlong Li, Ruonan Li, Guojie Ma, Weihong Yang, Hongye Wang, Zhaoquan Gu

“…Federated Learning (FL) emerges as a promising approach to address these problems. However, trajectory data collected from roadside units often contains varying levels of noise, which poses unique challenges for traditional FL methods. …”
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User Satisfaction Level of The SiCepat Proof of Delivery Website Using The Pieces Framework Method by Priatno, Dearsalva Sudrajat, Muhammad Ridwan Effendi

“…This system is part of the company's digital strategy, which utilizes website-based technology to simplify operations and increase user satisfaction. The data collection methods in this thesis are observation, interviews and literature study methods with quantitative analysis methods, namely data analysis methods using statistical analysis. …”
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A Short-Term Load Forecasting Method Based on CNN-BiGRU-NN Model by Youjun ZENG, Xianyong XIAO, Fangwei XU, Lin ZHENG

“…In order to fully mine the effective information contained in a large number of collected data and improve the accuracy of short-term load forecasting, a short-term load forecasting method is proposed based on a hybrid model of convolutional neural network (CNN), bidirectional gated recurrent unit (BiGRU), and fully connected neural network (NN). …”
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Classification and functional roots of the geometric patterns in the ornaments of traditional houses in Dezful based on vikor method by Ahmad Sarrafzadeh, Mohammad Didehban, Behzad Vasigh

“…The aim of this study is the documentation of geometric patterns and their underlying generative context in Dezful houses, answering research questions on the way. The research method is a combination of field studies and historical-interpretive methods, with data collected through library studies and personal observations. …”
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A Mechanism-aid Deep Learning Method for Li-ion Battery State-of-charge Estimation by Zhanghua Xiao, Cheng Ji, Fangyuan Ma, Jingde Wang, Wei Sun, Chi Zhai

“…However, existing methods that directly utilize measured data to establish the SOC estimation will suffer from low prediction accuracy due to the insufficient incorporation of mechanism information. …”
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