Separable Reversible Data Hiding in Encrypted 3D Mesh Models Based on Spatial Clustering and Multi-MSB Prediction by Y. Mao, Y. Xu

“…The proposed scheme provides a robust, high-capacity, and scalable solution for secure data embedding in encrypted 3D graphics, which is increasingly relevant in real-world 3D, geological model, and virtual reality applications.…”
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Improvised Spectral Efficiency and Channel Estimation Parameters in Visible Light Vehicular Communication by Integrating Simulation of Urban Mobility Data by Ali H. Wheeb, Sudhanshu Maurya, Shaik Karimullah, Fahimuddin Shaik, Subrata Chowdhury, B. V. V. Siva Prasad, Anurag Sinha, Adamya Sood, Syed Abid Hussain

“…Visible Light Communication (VLC) has emerged as a promising technology for vehicular communication due to its high data rates, low latency, and immunity to electromagnetic interference. …”
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Efficient and Real-Time Compression Schemes of Multi-Dimensional Data from Ocean Buoys Using Golomb-Rice Coding by Quan Liu, Ziling Huang, Kun Chen, Jianmin Xiao

“…The energy supply of ocean monitoring buoys is a major challenge, especially for long-term, low-power applications. Data compression can reduce transmission energy and extend system lifespan. …”
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Evaluation of ocean chlorophyll-a remote sensing algorithms using in situ fluorescence data in Southern Brazilian Coastal Waters by Gabriel Serrato de Mendonça Silva, Carlos Alberto Eiras Garcia

“…These results represent the most comprehensive satellite data analysis for this region, suggesting that the approach may be applicable to other SiMCosta buoys …”
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Evaluation of ocean chlorophyll-a remote sensing algorithms using in situ fluorescence data in Southern Brazilian Coastal Waters by Gabriel Serrato de Mendonça Silva, Carlos Alberto Eiras Garcia

“…These results represent the most comprehensive satellite data analysis for this region, suggesting that the approach may be applicable to other SiMCosta buoys …”
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F-TransR: A sports event revenue prediction model integrating multi-modal and time-series data. by Guibing You, Kelei Guo, Jie Gao, Hanjie Feng, Wei Zou

“…Sports event revenue prediction is a complex, multimodal task that requires effective integration of diverse data sources. Traditional models struggle to combine real-time data streams with historical time-series data, resulting in limited prediction accuracy. …”
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Addressing Sensor Data Heterogeneity and Sample Imbalance: A Transformer-Based Approach for Battery Degradation Prediction in Electric Vehicles by Bi Wu, Shi Qiu, Wenhe Liu

“…Additionally, through case studies, we validate the applicability of this method in actual electric vehicle battery management systems, providing reliable data support for battery preventive maintenance and replacement decisions. …”
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Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data. by Enrico Glaab, Jaume Bacardit, Jonathan M Garibaldi, Natalio Krasnogor

“…Although classical machine learning techniques have successfully been applied to find informative genes and to predict class labels for new samples, common restrictions of microarray analysis such as small sample sizes, a large attribute space and high noise levels still limit its scientific and clinical applications. Increasing the interpretability of prediction models while retaining a high accuracy would help to exploit the information content in microarray data more effectively. …”
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JThermodynamicsCloud: Cloud-based tool for temperature dependent thermodynamic calculations using group additivity rules and data management by Edward S. Blurock

“…Though the system described involves the calculation of thermodynamic quantities, the data management principles and system structure described goes well beyond this case study and can be applied to a multitude of further applications.…”
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Artificial Intelligence-Driven Biological Age Prediction Model Using Comprehensive Health Checkup Data: Development and Validation Study by Chang-Uk Jeong, Jacob S Leiby, Dokyoon Kim, Eun Kyung Choe

“…MethodsWe used data from Koreans who underwent health checkups at the Seoul National University Hospital Gangnam Center as well as from the Korean Genome and Epidemiology Study. …”
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Securing IoMT data with Algorand blockchain, XChaCha20-Poly1305 encryption, and decentralized storage alternatives by Divya K, Uma Priyadarsini P.S

“…Abstract Growing applications of Internet of Medical Things (IoMT) devices have revolutionized the healthcare sector because of remote patient tracking, diagnosis, and data-supported decision-making. …”
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MeStanG—Resource for High-Throughput Sequencing Standard Data Sets Generation for Bioinformatic Methods Evaluation and Validation by Daniel Ramos Lopez, Francisco J. Flores, Andres S. Espindola

“…We propose a MeStanG as a resource for generating HTS Nanopore data sets to evaluate present and emerging bioinformatics pipelines. …”
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Method for Landslide Area Detection with RVI Data Which Indicates Base Soil Areas Changed from Vegetated Areas by Kohei Arai, Yushin Nakaoka, Hiroshi Okumura

“…In contrast, SAR data, acquired by Sentinel-1, provides all-weather, day-and-night coverage. …”
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Precision Agriculture: A Web-GIS Framework for Health and Stress Assessment Using Multi-Source Remote Sensing Data by S. Bhakal, A. Pandey, K. Jain

“…The primary objective of this research is to create a model within the Google Earth Engine (GEE) framework, a WebGIS platform that enables its users to access analyses and visualize geospatial data for a wide range of applications. This model will enable researchers to calculate several indices for crop health and stress assessment mentioned in this research in their respective Areas of Interest (AOI) whether using either a UAV or satellite dataset. …”
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Digital Platform Empowering China-Pakistan Economic Corridor Disaster Management: Enhancing Data Integration, Resilience, and Policy Innovation by Juanle Wang, Kun Bu, Congrong Li, Yuelei Yuan, Xinrong Yan, Chen Xu, Meer Muhammad Sajjad, Lina Hao, Jiazhuo Liu, Xiaodong Min

“…While digital technologies and big data offer new solutions for disaster management, imbalanced digital resources and inadequate data management systems hinder their full potential. …”
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A Hybrid Approach to Cloud Data Security Using ChaCha20 and ECDH for Secure Encryption and Key Exchange by Rebwar Khalid Muhammed, Zryan Najat Rashid, Shaida Jumaah Saydah

“… Cloud computing has transformed data storage and processing by offering on-demand resources and global accessibility. …”
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Assessing urban vitality in high-density cities: a spatial accessibility approach using POI reviews and residential data by Mo Wang, Jiayu Zhao, Dongqing Zhang, Ziheng Xiong, Chuanhao Sun, Menghan Zhang, Chengliang Fan

“…These results underscore the transformative potential of social media data as a scalable and real-time analytical instrument for urban vitality assessment, offering a transferable methodological paradigm applicable to rapidly urbanizing metropolises worldwide. …”
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Identification of Maize Kernel Varieties Using LF-NMR Combined with Image Data: An Explainable Approach Based on Machine Learning by Chunguang Bi, Xinhua Bi, Jinjing Liu, He Chen, Mohan Wang, Helong Yu, Shaozhong Song

“…Subsequently, LF-NMR features and image morphological data were integrated to construct a classification model and the SVM hyperparameters were optimized using an improved differential evolution algorithm, achieving a final classification accuracy of 96.36%, which demonstrated strong robustness and precision. …”
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Long-Term Engagement of Diverse Study Cohorts in Decentralized Research: Longitudinal Analysis of “All of Us” Research Program Data by Vijay Yadav, Elias Chaibub Neto, Megan Doerr, Abhishek Pratap, Larsson Omberg

“…MethodsWe conducted a longitudinal analysis of the AoURP data, tracking changes in demographic composition, completion rates, and completion times for surveys and substudies. …”
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Color-Distortion Correction for Jilin-1 KF01 Series Satellite Imagery Using a Data-Driven Method by Jiangpeng Li, Yang Bai, Shuai Huang, Song Yang, Yingshan Sun, Xiaojie Yang

“…In this paper, we propose a data-driven method to correct color distortion in Jilin-1 KF01 imagery. …”
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