Enhanced IoT-Based Optimization for a Hybrid Power System in Cartwright, Labrador by Raymond Orie, Lynna Otabil, Jonathan Agorua, Mohammad Tariq Iqbal

“…The project outcome included efficient real-time data acquisition and visualization on remote dashboards, enabling cloud monitoring of key electrical parameters. …”
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E-Commerce Customer Segmentation: A Clustering Approach in A Web-Based Platform by P. Rajapandian, A. Karunamurthy, V. Vasanth, M. Meganathan

“…This work highlights the application of K-Means clustering with a practical online platform through an implemented web app for data visualization. Acknowledged limitations in the generalizability of the dataset to the entire customer base are addressed.…”
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Assessment of Some Inspection Properties of Commonly Used Medicinal Excipients Using Statistical Process Control for Monitoring of Manufacturer Quality by Mostafa Essam Eissa

“…Software for statistical process control, or SPC, was used to collect and handle datasets. Preliminary data examination was done using box plots and three variable visualization techniques associated with the correlation matrix. …”
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Topographic anatomy of the liver of children and adolescents according to intravital imaging by A. S. Lozinskiy

“…The aim of the study was to establish age- and gender-related patterns of liver topography in children and adolescents based on intravital visualization data for use in determining the skeletotopy of abdominal organs. …”
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Voxel-Based Digital Twin Framework for Earthwork Construction by Muhammad Shoaib Khan, Hyuk Soo Cho, Jongwon Seo

“…The proposed framework connects the physical and digital representations of the earthwork environment and is structured into five modules. The data acquisition module gathers terrain, geotechnical, design, and construction data. …”
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TNF-α -308 G/A Gene Polymorphism as a Risk Factor for Pulmonary Tuberculosis in Cirebon, Indonesia by Nurfithria Oktaviyati, Tiar Masykuroh Pratamawati, Donny Nauphar

“…DNA extraction from blood samples, ARMS-PCR genotyping, and 1.5% electrophoresis gel visualization were all part of the data gathering process. …”
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Morphological Analysis and Subtype Detection of Acute Myeloid Leukemia in High-Resolution Blood Smears Using ConvNeXT by Mubarak Taiwo Mustapha, Dilber Uzun Ozsahin

“…A deep learning pipeline was developed, integrating Stochastic Weight Averaging (SWA) for model stability, Mixup data augmentation to enhance generalization, and Grad-CAM for model interpretability, ensuring biologically meaningful feature visualization. …”
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HelpMe: Early Detection of University Students' Mental Health Issues Using a Chatbot-Integrated Dashboard by Nadia Abdul Wahab, Ahmad Asyraf Zainudin, Aznoora Osman, Norfiza Ibrahim, Abdul Hapes Mohammed

“…The dashboard prioritizes simplicity and engagement, utilizing Power BI for data visualization, while the chatbot ensures a user-friendly mental health screening experience. …”
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Time Series Analysis of Daily Bed Costs and Consumption Ratio of Inpatients with CHD in a Children’s Hospital in Chengdu by Yang H, Xiang S, Yang Y

“…The annual data for 2024 were forecasted and subsequently compared with actual values to assess model accuracy. …”
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Multilayer Integration of Networks Toolbox (MINT) by Saman Sarraf, Bárbara Avelar-Pereira, S. M. Hadi Hosseini, for the Alzheimer’s Disease Neuroimaging Initiative

“…Abstract We present MINT (Multilayer Integration of Networks Toolbox), a Python package for multimodal data integration and community detection. MINT includes data standardization, Similarity Network Fusion, Generalized Louvain clustering, visualization, cross-validation, and modality selection optimization, capturing complex relationships among disease markers. …”
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Recognition of Conus species using a combined approach of supervised learning and deep learning-based feature extraction. by Noshaba Qasmi, Rimsha Bibi, Sajid Rashid

“…The learning and validation curves also demonstrated a robust fit, with the training score reaching 1 and the validation score gradually increasing to 95 as more data was provided. These values indicate a well-trained model that generalizes effectively to validation data without significant overfitting. …”
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Affective-Computing-Driven Personalized Display of Cultural Information for Commercial Heritage Architecture by Huimin Hu, Yaxin Wan, Khang Yeu Tang, Qingyue Li, Xiaohui Wang

“…The results show that the affective computing and multimodal data fusion approach to cultural heritage presentation accurately captures users’ emotions, enhancing their interest and emotional involvement. …”
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Challenges and Prospects of Eurasian Integration in a Changing World by L. E. Slutsky

“…In the course of the work, statistical methods of analysis of economic phenomena were used, methods of logical and system analysis, dynamic, structural analysis of macroeconomic indexes, interregional analysis of data evaluation, as well as tabular methods of visualization of research results were used.Results. …”
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Esophageal Atresia at Daniel de Matos Maternity: A Fifteen-year Review by Beatriz Pedro, Rui Castelo, Guiomar Oliveira

“…The aim of this study was to characterize the prenatal, delivery and postnatal data of EA newborns at a level three reference center. …”
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An MPI-based parallel genetic algorithm for multiple geographical feature label placement based on the hybrid of fixed-sliding models by M. Naser Lessani, Zhenlong Li, Jiqiu Deng, Zhiyong Guo

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Describing Pulmonary Nodules Using 3D Clustering by Amera Al-Funjan, Farid Meziane, Rob Aspin

“…This paper combines algorithms to cluster and define nodule’s features in 3D visualization. Applying some 3D functions to the objects, clustered using the K-means technique of CT lung images, provides a 3D visual exploration of the nodule shape and location. …”
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Salmonella Typhi research in lower-middle-income economy countries: a bibliometric analysis (1990-2023) by Mustafa S Şahinoğlu, Sevil Alkan

“…Methodology: The bibliographic data was collected from the Web of Science database. …”
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Gas pipeline leakage detection based on multiple multimodal deep feature selections and optimized deep forest classifier by Eddie Zhang, Evan Zhang

“…First, the multimodal data, thermal images and gas sensor data, are pre-processed. …”
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Digital Analysis Methods in Business-Processes and Projects in Digital Twins at Investment-Construction Companies by A. I. Sukhorukov, E. A. Zakharova, E. V. Shvetsov

“…The article provided results of modeling visualization and digital analysis of business-processes.…”
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A Deep Learning Approach for Diabetic Retinopathy Classification Using Retinal Images by Rathod-Jadhav Kavita, Pande Aparna

“…Diabetic Retinopathy (DR) is a major cause of visual impairment worldwide, especially in diabetic patients. …”
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