Application of Polynomial Regression Method in Non-invasive Measurement of Blood Sugar, Cholesterol, and Non-invasive Uric Acid Based on IoT by Desi Rahmadaniar, Irma Salamah, Martinus Mujur Rose

“…At the same time, a mobile application was developed using MIT App Inventor for user-friendly health data visualization. A preliminary Quality of Service (QoS) assessment showed an average data latency of 500–700 ms and a 97% transmission success rate via Wi-Fi. …”
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Predicting and Preventing School Dropout with Business Intelligence: Insights from a Systematic Review by Diana-Margarita Córdova-Esparza, Juan Terven, Julio-Alejandro Romero-González, Karen-Edith Córdova-Esparza, Rocio-Edith López-Martínez, Teresa García-Ramírez, Ricardo Chaparro-Sánchez

“…We collected literature from the Google Scholar and Scopus databases using a comprehensive search strategy, incorporating keywords such as “business intelligence”, “machine learning”, and “big data”. The results highlight a wide range of predictive tools and methodologies, notably data visualization platforms (e.g., Power BI) and algorithms like decision trees, Random Forest, and logistic regression, demonstrating effectiveness in identifying dropout patterns and at-risk students. …”
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Intensidade-duração-frequência de chuvas para o Estado de Mato Grosso do Sul Intensity-duration-frequency of rainfall for the State of Mato Grosso do Sul by Glenio G. Santos, Cícero C. de Figueiredo, Luiz F. C. de Oliveira, Nori P. Griebeler

“…The adjusted parameters showed high variability, resulting from different rain intensities in different places of the State. The interpolation of data allowed good visualization of the differences, evidencing higher intensities of rains in the central and northern regions and lower intensities in the southeastern and southwestern regions of the State. …”
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Generative Artificial Intelligence-Enabled Facility Layout Design Paradigm by Fuwen Hu, Chun Wang, Xuefei Wu

“…The convolutional knowledge graph embedding (ConvE) method is employed for link prediction, converting entities and relationships into low-dimensional vectors to infer optimal spatial arrangements while addressing data sparsity through negative sampling. The proposed reference architecture for generative-AI-enabled facility layout design supports end-to-end layout design, featuring a 3D visualization engine, AI-driven optimization, and real-time digital twins. …”
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ImmunoCheckDB: A Comprehensive Platform for Evaluating Cancer Immunotherapy Biomarkers Through Meta‐Analyses and Multiomic Profiling by Chongxuan Lu, Mingxiao Li, Hong Yang, Zaoqu Liu, Jian Zhang, Quan Cheng, Anqi Lin, Shixiang Wang, Peng Luo

“…Equipped with online tools for meta‐analysis, network meta‐analysis, and multiomic profiling, ImmunoCheckDB enables researchers to investigate correlations between ICI efficacy and molecular biomarkers, featuring key functionalities such as real‐time visualization of forest plots, funnel plots, and network diagrams, as well as association analyses linking multiomic data to clinical outcomes. …”
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Intelligent collaborative management and control platform for continuous mining equipment in open-pit mines by Zhiyong LEI, Xiaolong MA, Shujun ZHAO, Shiming ZHANG, Bin YAN

“…The platform integrates advanced technologies, including dual-ring network transmission, network security protocols, multi-machine cooperative control, digital twin modeling, and big data analytics, facilitating effective coordination among coal miners, transfer machines, unloaders, and conveyors for seamless continuous mining operations.Three critical technical challenges are addressed: ① The implementation of dual-ring network transmission technology reduces data transmission latency and enhances network stability. ② A secure network transmission framework has been developed to safeguard data confidentiality and integrity. ③ The multi-machine cooperative control system incorporates data acquisition, process control, and 3D visualization modules, employing real-time monitoring and optimized control algorithms to boost mining and transportation efficiency while ensuring the continuity of multi-machine operations. …”
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Linking multivariate trait variation to the environment: the advantages of double constrained correspondence analysis with the R package douconca by Cajo J.F. ter Braak, Bart-Jan van Rossum

“…It extends joint species distribution modelling and species-environment relationship studies by incorporating trait data. Traditional methods include RLQ ordination, fourth-corner correlation analysis, and community-weighted means (CWM) regression, with generalized linear mixed models (GLMM) also being used.Through three case studies, we demonstrate that double-constrained correspondence analysis (dc-CA), an ordination method with biplot visualization, is a competitive alternative. …”
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Cybersecurity Framework: Addressing Resiliency in Welsh SMEs for Digital Transformation and Industry 5.0 by Nisha Rawindaran, Ambikesh Jayal, Edmond Prakash

“…Advanced analytical techniques, including regression testing, Principal Component Analysis (PCA), and data visualization, were employed to uncover key insights and patterns. …”
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GIQ - Revolutionizing Geospatial Ecosystem Development Through Public-Private Partnerships by S. Al Zeidi, P. Marpu, Y. Tarabalka, M. Balgi

“…The platform leverages multi-source satellite data, AI-powered classification, real-time monitoring, and interactive visualization tools to deliver actionable geospatial intelligence. …”
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A mini-review of single-cell Hi-C embedding methods by Rui Ma, Jingong Huang, Tao Jiang, Wenxiu Ma

“…These methods not only enhance cell clustering based on chromatin structures but also facilitate visualization and other downstream analyses. Most scHi-C embedding methods incorporate strategies such as normalization and imputation to address the inherent sparsity of scHi-C data, thereby further improving data quality and interpretability. …”
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Development of a 5G-Connected Ultra-Wideband Radar Platform for Traffic Monitoring in a Campus Environment by David Martín-Sacristán, Carlos Ravelo, Pablo Trelis, Miriam Ortiz, Manuel Fuentes

“…The IoT platform, which receives data from the radars via MQTT, is scalable, easily deployable, and supports radar management, data visualization, and external data access via an API. …”
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BIM-GIS-Based Approach for Quality Management Aligned with ISO 9001 by Pablo Araya-Santelices, Pedro Moraga, Edison Atencio, Fidel Lozano-Galant, José Antonio Lozano-Galant

“…The results demonstrated functional improvements in inspection traceability, consistency of quality records, and coordination between field data and BIM elements. Using structured digital forms contributed to more consistent data capture and greater efficiency in recording, organizing, and visualizing quality control statuses within the 3D environment. …”
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SIGNIFICANCE OF LABORATORY PARAMETERS IN PROGNOSIS OF OUTCOMES OF ACUTE MYOCARDIAL INFARCTION by I. E. Belaya, V. I. Kolomiets, E. K. Musaeva

“…Accuracy of the obtained calculation results was 95.56 % demonstrating good agreement between the model and observed data. In a decision tree visualization, the most significant 8 laboratory parameters were determined. …”
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Evaluation of the effectiveness of communications between the Department of transport and Development of road transport infrastructure of Moscow and the population within the frame... by R. A. Abramov, Yu. Yu. Temnikova

“…The purpose of the study is to determine the level of information transparency and accessibility of data on the department’s key initiatives for citizens. …”
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Development and Validation of Deep Learning–Based Infectivity Prediction in Pulmonary Tuberculosis Through Chest Radiography: Retrospective Study by Wou young Chung, Jinsik Yoon, Dukyong Yoon, Songsoo Kim, Yujeong Kim, Ji Eun Park, Young Ae Kang

“…We analyzed 36,142 CXR images of 4492 patients with PTB obtained from Severance Hospital, focusing specifically on the lung region through segmentation and cropping with TransUNet. We used data from 2004 to 2020 to train the model, data from 2021 for testing, and data from 2022 to 2023 for internal validation. …”
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Research on Wind Turbine Main Shaft Bearing Fault Diagnosis Method Based on Unity 3D and Transfer Learning by Shuai Wang, Wenlei Sun, Han Liu, Shenghui Bao, Yunhao Wang, Xin Zhao

“…The state monitoring visualization is limited, fault data and sample labels are scarce, and fault data distribution varies under different operational conditions, leading to low diagnosis accuracy and slow diagnosis speed. …”
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Enhancing Early Breast Cancer Detection with Infrared Thermography: A Comparative Evaluation of Deep Learning and Machine Learning Models by Reem Jalloul, Chethan Hasigala Krishnappa, Victor Ikechukwu Agughasi, Ramez Alkhatib

“…Leveraging advanced feature extraction and visualization techniques inspired by geospatial data methodologies, we evaluated several deep learning architectures and classical classifiers using the DRM-IR and Breast Thermography Mendeley thermal datasets. …”
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Optimizing Energy and Air Consumption in Smart Manufacturing: An Industrial Internet of Things-Based Monitoring and Efficiency Enhancement Solution by Shahram Hanifi, Babakalli Alkali, Gordon Lindsay, Don McGlinchey

“…The data-driven approach revealed significant energy savings of up to 56% and uncovered hidden inefficiencies, including a persistent air leak. …”
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Development of an explainable machine learning model for Alzheimer’s disease prediction using clinical and behavioural features by Rajkumar Govindarajan, K. Thirunadanasikamani, Komal Kumar Napa, S. Sathya, J. Senthil Murugan, K. G. Chandi Priya

“…Key predictive variables such as Mini-Mental State Examination (MMSE), Activities of Daily Living (ADL), cholesterol levels, and functional assessment scores were identified and visualized using SHAP-based insights. A user-friendly, interactive web application was developed using Streamlit, allowing real-time patient data input and transparent model output visualization. …”
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Mapping and Spatial Analysis of the Development of the Administrative Borders of Stavropol Region in 1785–2021 by Igor Yurievich Katorgin, Alexander Nikolaevich Roman

“…For the processing and analysis of spatial data, the functionality of the GIS package Mapinfo Professional and the Vertical Mapper module were used. …”
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