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6181
Deep-Learning-Based Automated Building Construction Progress Monitoring for Prefabricated Prefinished Volumetric Construction
Published 2024-11-01“…However, the complex nature of construction sites and the presence of nearby infrastructure could occlude or distort visual data. Furthermore, imaging constraints can also result in incomplete visual data. …”
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6182
Employment the Object Oriented Idea with Relational Database using by Ado.Net
Published 2011-07-01“…We depend on ADO.NET technology to data base access which more advance technology that is presented from micro soft to support language that not special in database like visual basic, visual java, visual C++, etc. …”
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6183
Research on Simultaneous Localization and Intrusion Detection Methodology for Intelligent Trains Based on Multisource Fusion
Published 2024-08-01“…Finally, time synchronization is established between the LiDAR and visual data, based on train localization information and IMU data. …”
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6184
SISTEM PEMESANAN TIKET PADA JOGLOSEMAR EXECUTIVE SHUTTLE BUS SEMARANG
Published 2012-03-01“…Perangkat lunak yang digunakan untuk pengembangan program antarmuka adalah Microsoft Visual Basic 6.0 dan perangkat lunak yang digunakan untuk media penyimpanan data adalah Microsoft Access 2007. …”
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6185
Estimation of Ground-Level NO<sub>2</sub> Concentrations Over Megacities Using Sentinel-5P and Machine Learning Models: A Case Study of Istanbul
Published 2025-05-01“…For this purpose, estimation analysis of the NO<sub>2</sub> parameter, which is the most measured parameter at ground monitoring stations and has a major impact on its formation by human activities, was conducted for the Istanbul megacity using freely accessible Sentinel-5P satellite data. The performance of three ML algorithms, namely multi-layer perceptron (MLP), support vector regression (SVR), and XGBoost regression (XGB), in estimating the ground level-NO<sub>2</sub> parameter was evaluated both quantitatively using RMSE and MAE accuracy metrics and qualitatively by visual analysis. …”
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6186
The EU Food and Beverages Labels Explorer (FABLE)—A New Open-Access Web-Based Tool to Monitor Branded Food Products across Europe
Published 2023-11-01“…Results: FABLE’s dynamic dashboard will enable users to explore, interact with and visualize data on the nutritional content of branded food and beverage products across Europe. …”
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6187
RSero: A user-friendly R package to reconstruct pathogen circulation history from seroprevalence studies.
Published 2025-02-01“…Here, we introduce an R package, Rsero, that implements a series of serocatalytic models and estimates the FOI from age-stratified seroprevalence data using Bayesian methods. The package also contains a series of features to perform model comparison and visualise model fit. …”
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6190
STUDENT’S MISTAKES IN SOLVING PROBLEM BASED ON WATSON’S CRITERIA AND LEARNING STYLE
Published 2022-12-01“…In the visual learning pattern, there are five error classes: Inappropriate Data 9%, Omitted Conclusion 55%, Response Level Conflict 18%, Skill Hierarchy Problem 27%, and Above Other 18%. …”
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6191
Analisis Tren dan Perkiraan Pandemi COVID-19 di Indonesia Menggunakan Peramalan Metode Prophet :Sebelum dan Sesudah Aturan New Normal
Published 2022-02-01“…Metode Prophet digunakan untuk memprediksi kasus kematian dan terkonfirmasi dalam 30 hari ke depan. Analisis data visual dengan pendekatan Exploratory Data Analysis (EDA) disajikan untuk memberikan pemahaman tentang perkembangan penyebaran pandemi di Indonesia. …”
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6192
Indirect modeling of derived outcomes: Are minor prediction discrepancies a cause for concern?
Published 2024-10-01“…Because these derivations are indirectly predicted from the model, they are valuable tests for misspecification when used in visual or numeric predictive checks (V/NPCs). However, derived outcome V/NPCs (especially if primary or key secondary) are often overly scrutinized and held to an uncommon standard when comparing model predictions to point estimates, even if by conventional standards both the directly and indirectly modeled data are captured well. …”
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6193
patter: Particle algorithms for animal tracking in R and Julia
Published 2025-08-01“…In our illustration, we resolve an individual's (unobserved) location every 2 min during 1 month and use particles to visualise movements, map space use and quantify residency (Example Two). patter facilitates robust, flexible and efficient analyses of animal‐tracking data. …”
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6194
A Fourier Fitting Method for Floating Vehicle Trajectory Lines
Published 2025-06-01“…With the advancement of spatial positioning technology, trajectory data have been growing rapidly. Trajectory data record the spatiotemporal information and behavioral characteristics of moving objects, and in-depth analysis can provide decision support for urban transportation. …”
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6196
Analisis resepsi khalayak pada iklan Youtube game Genshin Impact
Published 2024-03-01“…Triangulasi sumber data dengan dua kali pengumpulan data digunakan untuk validitas informasi. …”
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6197
Missing words: causes, symptoms and solutions for middle school students’ reading anxiety
Published 2025-06-01“…Qualitative data were gathered from nine Turkish language teachers and 13 MSHRAs chosen through criterion sampling. …”
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6198
The use of OpenAlex to produce meaningful bibliometric global overlay maps of science on the individual, institutional, and national levels.
Published 2024-01-01“…It is an important advantage of OpenAlex publication and citation data that they are freely available. Overlay maps visualize how the overlaid data (e.g., research of an institution) are positioned in the whole science system (the base map). …”
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6199
Pemahaman Konsep Matematika Siswa Madrasah Tsanawiyah pada Statistika Ditinjau dari Gaya Belajar
Published 2023-06-01“…The six subjects can do the test correctly and have been confirmed through interviews. However, the two visual learning style subjects cannot show the location of the mean, median, and mode of data presented in the diagram. …”
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Semantik Verba dalam Membentuk Gaya Bahasa pada Judul Berita Tempodotco
Published 2022-11-01“…Data analysis used the Miles and Huberman model which includes data analysis, data reduction, data display, and data verification. …”
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