Natural sounds can be reconstructed from human neuroimaging data using deep neural network representation. by Jong-Yun Park, Mitsuaki Tsukamoto, Misato Tanaka, Yukiyasu Kamitani

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Development of a Web-Based Analytical Framework for Soil Moisture Estimation Using Multipolarized SAR Data by D. H. Lee, D. W. Chung, S. G. Lee

“…This study developed a novel framework to estimate and visualize soil moisture using KOMPSAT-5 synthetic aperture radar (SAR) data in a real-time web-based environment. …”
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HyPyRameter: A Python Toolbox to Calculate Spectral Parameters from Hyperspectral Reflectance Data by Michael S. Phillips, Christian Tai Udovicic, Jeffrey E. Moersch, Udit Basu, Christopher W. Hamilton

“…Spectral parameters can be combined thematically into red, green, and blue (RGB) images, called browse products , to visualize compositional variation across a surface. …”
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A real-world data analysis of montelukast in FDA Adverse Event Reporting System (FAERS) database by Hesen Huang, Kaiqin Chen, Yu Du, Jing Gao, Yixian Ye, Wei Lin

“…In this study, we aimed to investigate MTK’s adverse drug reactions (ADRs) using real data from the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS) database. …”
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From Tables to Computer Vision: Transforming HPDC Process Data into Images for CNN-Based Deep Learning by A. Burzyńska

“…The model's efficacy was evaluated through its application to both large and small, differently distributed data sets. Utilizing a combination of statistical pre-processing, intelligent generative models, visual data transformations and deep learning, the methodology offers a comprehensive approach to enhancing production efficiency, ensuring superior process control and improving the quality of HPDC products. …”
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Interpretable Dual-Channel Convolutional Neural Networks for Lithology Identification Based on Multisource Remote Sensing Data by Sijian Wu, Yue Liu

“…Traditionally, lithology identification requires geologists to interpret geological data collected from the field. However, the acquisition of geological data requires a substantial amount of time and becomes more challenging under harsh natural conditions. …”
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Super Resolution Reconstruction of Mars Thermal Infrared Remote Sensing Images Integrating Multi-Source Data by Chenyan Lu, Cheng Su

“…It optimizes the quality of existing data, increasing the resolution of the original thermal infrared images by four times. …”
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Statistical Evaluation of Uniform Temperature and Thermal Gradients for Composite Girder of Tibet Region Using Meteorological Data by Yujuan Liu, Zhiyuan Ma, Jiang Liu

“…To accurately assess the temperature action and effect of steel-concrete composite girder bridges in plateau and cold areas, this paper investigated nearly 50 years of historical meteorological data from 26 meteorological observation stations in the Tibet region of China. …”
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Two Novel Multidimensional Data Analysis Approaches Using InSAR Products for Landslide Prone Areas by Hamit Beran Gunce, Bekir Taner San

“…Multi-temporal InSAR analysis of Sentinel-1 data (2015–2020) is performed using LiCSAR–LiCSBAS, followed by two novel approaches: multi-dimensional InSAR research and analysis (MIRA) and Crosta’s InSAR application (InCROSS). …”
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DFPS: An Efficient Downsampling Algorithm Designed for the Global Feature Preservation of Large-Scale Point Cloud Data by Jiahui Dong, Maoyi Tian, Jiayong Yu, Guoyu Li, Yunfei Wang, Yuxin Su

“…This approach effectively balances the global feature retention of point cloud data with computational efficiency, making it highly adaptable to the growing trend of large-scale 3D point cloud datasets. …”
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PriBeL: A primary betel leaf dataset from field and controlled environmentMendeley Data by Gauri Mane, Raghav Bhise, Rutuja Kadam, Gagandeep Kaur, Devika Verma, Rupali Chopade, Gitanjali Shinde, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

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An Advanced Approach Toward Pedestrian Safety Analysis and Prediction: Advances in Multisensor Data Fusion and GIS Techniques by Jie Tang, Asad Khan, Sheheryar Azam, Umer Khalil, Nuaman Ejaz, Muhammad Afzal, Yahia Said, Dmitry E. Kucher

“…The detailed data files included the past 5 years’ data from 2016 to 2020; the 2021 data files are still being published. …”
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Denoising Diffusion Probabilistic Model for Realistic and Fast Generated Euclid-like Data for Weak Lensing Analysis by Diana Scognamiglio, Jake H. Lee, Eric Huff, Sergi R. Hildebrandt, Shoubaneh Hemmati

“…Understanding and mitigating measurement systematics in weak lensing (WL) analysis requires large data sets of realistic galaxies with diverse morphologies and colors. …”
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Nonparametric Bayesian Networks as a Tool of Multiscale Time Series Analysis and Remote Sensing Data Integration by Nikita S. Pyko, Denis V. Tishin, Pavel Yu. Iskandirov, Artur M. Gafurov, Bulat M. Usmanov, Mikhail I. Bogachev

“…Modern interdisciplinary research involves the complex processing of heterogeneous data obtained using sensors of various physical nature. …”
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Enhancing structured data generation with GPT-4o evaluating prompt efficiency across prompt styles by Ashraf Elnashar, Jules White, Douglas C. Schmidt

“…Large language models (LLMs), such as GPT-4o, provide versatile techniques for generating and formatting structured data. However, prompt style plays a critical role in determining the accuracy, efficiency, and token cost of the generated outputs. …”
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An Automated Framework for Lane Closure Detection on Highway Using Connected Vehicle Data and Machine Learning Models by Ashutosh Dumka, Raghupathi Kandiboina, Aparna Joshi, Skylar Knickerbocker, Neal Hawkins, Anuj Sharma

“…This study introduces an innovative real-time lane closure detection approach using connected vehicle (CV) data and machine learning techniques. Our methodology analyzes CV data metrics such as speed variations and lateral waypoint positioning relative to road reference lines, comparing these across road segments with and without closures. …”
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A dataset for classifying phrases and sentences into statements, questions, or exclamations based on sound pitchMendeley Data. by Ayub Othman Abdulrahman, Shanga Ismail Othman, Gazo Badran Yasin, Meer Salam Ali

“…The dataset contains equal representation from all three classes, about 4200 samples per class, and metadata such as speaker gender, age group, and sentence identifiers.The original audio files, alongside resources like Mel-Frequency Cepstral Coefficients (MFCCs) and waveform visualizations, can be found on Mendeley Data. The dataset offered has significant advantages for formulating and testing pitch-based speech classification algorithms, furthers the work on pronunciation modelling for languages lacking sufficient resources. …”
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Alteration Information Extraction and Mineral Prospectivity Mapping in the Laozhaiwan Area Using Multisource Remote Sensing Data by Qi Chen, Dayu Cai, Zhifang Zhao, Xiaoguang Yang, Yilong Wang, Xiao Jiang, Lei Xu, Haichuan Duan, Yang He, Xiaoxiao Zhang, Yiyang Wang, Ting Xu

“…Linear and ring structures were extracted using the remote sensing visual interpretation method based on Sentinel-2A multispectral data. …”
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Exploring Global Interest in Propolis, Nanosilver, and Biomaterials: Insights and Implications for Dentistry from Big Data Analytics by Magdalena Sycińska-Dziarnowska, Liliana Szyszka-Sommerfeld, Krzysztof Woźniak, Gianrico Spagnuolo

“…<b>Methods</b>: This study uses Google Trends data to analyze global search interest in five key terms—<i>propolis</i>, <i>antimicrobial</i>, <i>antibacterial</i>, <i>nanosilver</i>, and <i>biomaterials</i>—over a ten-year period (starting November 2014). …”
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Signs and Symptoms of Central Nervous System Involvement and Their Pathogenesis in COVID-19 According to The Clinical Data (Review) by N. V. Tsygan, A. P. Trashkov, A. V. Ryabtsev, V. A. Yakovleva, A. L. Konevega, A. G. Vasiliev, V. N. Tsygan, M. M. Odinak, I. V. Litvinenko

“…To reveal the patterns of central nervous system involvement in COVID-19 and its pathogenesis based on clinical data.Among more than 200 primary literature sources from various databases (Scopus, Web of Science, RSCI, etc.), 80 sources were selected for evaluation, of them 72 were published in the recent years (2016-2020). …”
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