PRISM: three-dimensional sub-diffractive phase-resolved imaging spectroscopic method by Artur Dobrowolski, Jakub Jagiełło, Beata Pyrzanowska, Karolina Piętak-Jurczak, Ewelina B. Możdżyńska, Tymoteusz Ciuk

“…Abstract We demonstrate a genuine method for three-dimensional pictorial reconstructions of two-dimensional, three-dimensional, and hybrid specimens based on confocal Raman data collected in a back-scattering geometry of a 532-nm setup. …”
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Deep Learning-Based Method for Detecting Traffic Flow Parameters Under Snowfall by Cheng Jian, Tiancheng Xie, Xiaojian Hu, Jian Lu

“…In recent years, advancements in computer vision have yielded new prospects for intelligent transportation applications, specifically in the realm of automated traffic flow data collection. Within this emerging trend, the ability to swiftly and accurately detect vehicles and extract traffic flow parameters from videos captured during snowfall conditions has become imperative for numerous future applications. …”
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Measurement of Principal Modes in Few-Mode Fibers by S² Method by Zixiang Di, Zhiqun Yang, Yaping Liu, Guanju Peng, Lin Zhang, Guifang Li

“…This method collects the optical interference information on a two-dimensional plane at different frequencies. …”
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SGS method applied to damage location and uncertainty modeling for sensor grid in the ISHM by Pereira, Paulo Elias Carneiro, de Rezende, Stanley Washington Ferreira, Moura Júnior, José dos Reis Vieira de, Finzi Neto, Roberto Mendes

“…Various approaches have been developed to estimate damage location, yet they often need more capability to assess the reliability of data collected from sensor grids. In this paper, we introduce a novel method based on Sequential Gaussian Simulation (SGS) to pinpoint damage locations on aluminum plates and create maps that illustrate the spatial uncertainty associated with damage index values throughout the structure. …”
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Research on Temperature Control Method of Rice Noodles Extruder Based on APSO-MPC by Mengyao Zhang, Yunren Yang, Guohua Gao, Zhenlong Li, Yakai He, Peigang Li, Huangzhen Lv

“…The APSO algorithm is further selected to perform the adaptive parameter identification of the model based on the collected input/output data. Then, aiming at high-precision temperature control, the objective function is constructed by combining the temperature prediction value and the reference trajectory, and the objective function is optimized to obtain the optimal control sequence. …”
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Exploring essential personality traits for professional interpreters: a Delphi method study by Chunwen Yang

“…This study aims to identify and prioritize the key personality traits that contribute to professional interpreter effectiveness using the Delphi method.MethodsA two-round Delphi study was conducted with a purposively selected panel of 20 experts, including interpreter trainers, professionals, and corporate clients. …”
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Patient acceptability of CITOBOT for cervical cancer screening: A mixed-method study. by Marcela Arrivillaga, Maria Del Mar Torres, Daniela Neira, Juan Pablo García-Cifuentes, Hernán Dario Vargas-Cardona, Mérida Rodríguez-López, Paula C Bermúdez

“…Data collection included a sociodemographic, gynecological-obstetric, behavioral survey, a validated patient acceptability scale, alongside open-ended interview questions. …”
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An Alternative Method to Measure Glucose and Lactic Acid as Biomarkers of the Postmortem Interval (PMI) by Claudio Tersaruolo, Jesus Frias, Orla Howe

“…<b>Results:</b> Herein, we present this alternative method of PMI estimation based on the biochemical testing of blood samples that could potentially be collected at a crime scene using biochemical blood biomarkers Glu and Lac, which are mathematically modelled and refined with time- and temperature concentration changes. …”
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Research on the UAV Sound Recognition Method Based on Frequency Band Feature Extraction by Jilong Zhong, Aigen Fan, Kuangang Fan, Wenjie Pan, Lu Zeng

“…In this study, the actual flight sounds of UAVs were collected, and the sound feature matrix of UAVs was extracted using the frequency band feature extraction method. …”
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Talent identification of wrestling athletes using the analytic hierarchy process method approach by Fendi Ferdiana, Agus Rusdiana, Iman Imanudin, Badruzaman Badruzaman, Angga M. Syahid, Tono Haryono, Iwa Ikhwan Hidayat Iwa Ikhwan Hidayat

“…The research aims to identify the talent of wrestlers aged 10 to 14 years. The data collected was analysed using the Analytic Hierarchy Process (AHP) with the Expert Choice v. 11 application to find out which elements play an important role in supporting wrestlers. …”
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DCW-YOLO: An Improved Method for Surface Damage Detection of Wind Turbine Blades by Li Zou, Anqi Chen, Chunzi Li, Xinhua Yang, Yibo Sun

“…In light of these challenges, a novel model named DCW-YOLO for surface damage detection of WTBs is proposed in this research, which leverages image data collected by unmanned aerial vehicles (UAVs) and the YOLOv8 algorithm for image analysis. …”
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Mathematical Modeling of Traffic Flow in Kampala City Using the Moving Observer Method by Okiza,Humphrey, Muhwezi, Lawrence, Omwonylee, Okello Joseph, Awichi, Richard Opaka, Nuwagaba, Savannah

“…The rapid urbanization has led to a huge increase in the number of vehicles, resulting in traffic congestions, delays, and financial losses especially in the Kampala CBD area. Data on traffic density, speeds, and driver behaviors were collected for a period of 20 days from five selected road sections leading into and out of the city which included traffic on Entebbe Road, Jinja road, Sir Apollo Kaggwa Road, Yusuf Lule and Wandegeya roads using the moving observer method. …”
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Short-Term Traffic Flow Prediction: A Method of Combined Deep Learnings by Chuanxiang Ren, Chunxu Chai, Changchang Yin, Haowei Ji, Xuezhen Cheng, Ge Gao, Heng Zhang

“…Finally, the training set and test set for the CDLP model are established through the processing of traffic flow data collected from the field. The CDLP model is trained and tested, and the prediction results of traffic flow are obtained and analyzed. …”
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A method for predicting postpartum depression via an ensemble neural network model by Yangyang Lin, Dongqin Zhou

“…Although there are many existing machine learning classifiers for PPD prediction, the requirements for high accuracy and the interpretability of models present new challenges.MethodsThis paper designs an ensemble neural network model for predicting PPD, which combines a Fully Connected Neural Network (FCNN) and a Neural Network with Dropout mechanism (DNN). …”
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Novel Rap-Landslide Method for Assessing Agroforestry Sustainability in Landslide-Prone Areas by Euthalia Hanggari Sittadewi, Iwan Gunawan Tejakusuma, Titin Handayani, Arif Dwi Santoso, Adrin Tohari, Asep Mulyono, Zufialdi Zakaria, Evensius Bayu Budiman, Hilmi El Hafidz Fatahillah, Riski Fitriani

“…The approach includes data collection, sustainability evaluation, leverage factor analysis, and validity testing. …”
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AN EFFECT OF SOCIODRAMA METHOD IMPLEMENTATION IN STUDENTS LANGUAGE SKILL AT FOURTH GRADE ELEMENTARY SCHOOL IN CLUSTER XII OF BULELENG DISTRICT by Ni Ketut Desia Tristiantari

“…The four data were collected by using language skill evaluation in form of written and performance test. …”
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Antecedents of Trust in Sharing Economy Platforms: Prioritization Using the Best-Worst Method by Navid Khanjanzadeh Kakeroodi, Ali Adabi Firoozjaei, Soheil Nejat, Hamidreza Fallah Lajimi

“…Accordingly, a Best-Worst questionnaire was prepared and sent to 10 experts in the field of the sharing economy, selected through the snowball sampling method. Finally, the data from the Best-Worst questionnaire were analyzed using Excel software. …”
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The Effectiveness of Learning Isim Maushul with Historical Stories l Fa‘aliyyah Ta‘allum al-‘Ism al-Maushul bi al-Qishash al-Tarikhiyyah by Fahmi Prastyo Muhajir, Imam Fauji

“…The sample that the researcher examined was eight students of class XII Language with different educational backgrounds. The technique of collecting data through observation was by observing the teacher's way of learning isim maushul in class. conducting interviews and giving questionnaires to students about isim maushul. …”
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The Student’s Understanding and Response Towards Case Study Method in Arabic Language Research l Istijabatu wa Mafhum al-Thalabah fi Manhaj Dirasah al-Halah fi Bahts al-Lughah al-‘... by Ubaid Ridlo, Kojin Kojin, Kisno Umbar

“…The data were collected through observation, interviews, questionnaires, documentation, and FGD. …”
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Detection Method of Apple Alternaria Leaf Spot Based on Deep-Semi-NMF by FU Zhuojun, HU Zheng, DENG Yangjun, LONG Chenfeng, ZHU Xinghui

“…[Methods]A novel detection method named Deep Semi-Non-negative Matrix Factorization-based Mahalanobis Distance Anomaly Detection (DSNMFMAD) was proposed, which combines Deep Semi-Non-negative Matrix Factorization (DSNMF) with Mahalanobis distance for robust anomaly detection in complex image backgrounds. …”
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