CerraData-4 MM: A Multimodal Benchmark Dataset on Cerrado for Land Use and Land Cover Classification by Mateus de Souza Miranda, Ronny Hansch, Valdivino Alexandre de Santiago Junior, Thales Sehn Korting, Erison Carlos dos Santos Monteiro

“…We benchmark two models trained on CerraData-4 MM, employing a visual transformer-based architecture and a convolutional-based architecture. …”
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PassAI: An Explainable Machine Learning Framework for Predicting Soccer Pass Outcomes Using Multimodal Match Data by Ryota Takamido, Jun Ota, Hiroki Nakamoto

“…As sports data, increasingly shaped by recent advances in in-game data acquisition technologies, become more complex and high-dimensional, analyzing such multimodal datasets presents challenges in both predictive performance and interpretability. …”
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Promotion of officers from military colleges and schools of ensigns in the years of World War I (analysis quantitative data) by Volkov Sergei

“…In the years of World War I in Russia 24 military colleges and 49 schools of ensigns of land forces worked. Data on promotion of officers on each from these military schools are provided in article, allowing visually to present not he general quantitative indices of training of officers in military schools in the years of World War I, but also to track dynamics of this process. …”
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The Ponte Delle Chianche on the <i>Via Traiana</i> in Buonalbergo (Benevento, Italy): New Data for an Integrated Study by Ivan Ferrari

“…At the same time, a close visual analysis of the structures led to the discovery of a large number of brick stamps, also unpublished, which is important for understanding the logistical aspects of the building materials. …”
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THE EFFICACY AND SAFETY OF IMMARD (HYDROXYCHLOROQUINE) IN RHEUMATOID ARTHRITIS ACCORDING TO THE DATA OF AN OPEN-LABEL UNCONTROLLED TRIAL IN OUTPATIENT PRACTICE by Rimma Mikhailovna Balabanova, D A Gukasyan, E L Shakhramanova, D V Goryachev

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Evaluating the Impact of Elementary School Urban Neighborhood Color on Children’s Mentalization of Emotions through Multi-Source Data by Ruiying Zhang, Qian Huang, Zhimou Peng, Xinyue Zhang, Lan Shang, Chengling Yang

“…To address the challenge of quantitatively assessing the mentalization of emotions in color design schemes, this study uses Baidu Street View images and deep learning, integrates multi-source data, and innovatively constructs a color data model based on a comprehensive color indicator system for the quantitative assessment and visual representation of how the color environments of elementary school urban neighborhoods impact children’s mentalization of emotions. …”
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Kinematic Characteristics of Iceberg D28 Drift Using Satellite Data Sentinel-1A/B SAR by Pogrebnoi Alexander, Belokopytov Vladimir

“…The goal of the article is to track down the giant tabular iceberg D28 trajectory from its calving in September 2019 from Amery Ice Shelf until reaching the western part of the Weddell Sea in March 2023 and to present characteristics of the iceberg state and movement, derived from satellite radar data. The Maximally Stable Extremal Regions (MSER) method, which used as an imagery recognition technique for time-dependent visual conditions, has been applied to automatically identify iceberg’s positions. …”
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Towards generalist foundation model for radiology by leveraging web-scale 2D&3D medical data by Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Hui Hui, Yanfeng Wang, Weidi Xie

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Methodology for detecting anomalies in cyber attack assessment data using Random Forest and Gradient Boosting in machine learning by A. S. Kechedzhiev, O. L. Tsvetkova, A. I. Dubrovina

“…The research aims to detect anomalies in data using machine learning models, in particular random forest and gradient boosting, to analyze network activity and detect cyberattacks. …”
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Identification of Spatial and Symbolic City Image Elements Through Social Media Data: A Case Study of Hangzhou by Jiaqi Wang, Yu Shi, Weishun Xu, Yue Wu

“…This paper addresses the gap by proposing a big data-driven method, integrating Weibo check-in data, Baidu Map POI, and ArcGIS algorithms to identify city image elements and further reveal a city’s overall morphological characteristics. …”
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EGNet: 3D Semantic Segmentation Through Point–Voxel–Mesh Data for Euclidean–Geodesic Feature Fusion by Qi Li, Yu Song, Xiaoqian Jin, Yan Wu, Hang Zhang, Di Zhao

“…In the Euclidean branch, the features extracted from point cloud data compensate for the detail features lost by voxel data. …”
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Optical Neuroimage Studio (OptiNiSt): Intuitive, scalable, extendable framework for optical neuroimage data analysis. by Yukako Yamane, Yuzhe Li, Keita Matsumoto, Ryota Kanai, Miles Desforges, Carlos Enrique Gutierrez, Kenji Doya

“…To address these challenges, we developed Optical Neuroimage Studio (OptiNiSt), a scalable, extendable, and reproducible framework for creating calcium data analysis pipelines. OptiNiSt includes the following features. 1) Researchers can easily create analysis pipelines by selecting multiple processing modules, tuning their parameters, and visualizing the results at each step through a graphic user interface in a web browser. 2) In addition to pre-installed tools, new analysis algorithms can be easily added. 3) Once a processing pipeline is designed, the entire workflow with its modules and parameters are stored in a YAML file, which makes the pipeline reproducible and deployable on high-performance computing clusters. 4) OptiNiSt can read image data in a variety of file formats and store the analysis results in NWB (Neurodata Without Borders), a standard data format for data sharing. …”
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Development of Anatolian cedar forests from the last glacial maximum to the present based on fossil and modern pollen data by Mustafa Doğan

“…Fossil and modern pollen data were used to trace the geographical distribution and changes in cedar forests from the Last Glacial Maximum (LGM) to the present. …”
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Downscaling Land Surface Temperature via Assimilation of LandSat 8/9 OLI and TIRS Data and Hypersharpening by Luciano Alparone, Andrea Garzelli

“…The problem of fusion of heterogeneous data is approached as hypersharpening: each of the two sharpening images is synthesized following data assimilation concepts, with the linear combination of 30 m optical bands and the 15 m panchromatic (Pan) image that maximizes the correlation with each thermal channel at its native 100 m scale. …”
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I-MPN: inductive message passing network for efficient human-in-the-loop annotation of mobile eye tracking data by Hoang H. Le, Duy M. H. Nguyen, Omair Shahzad Bhatti, László Kopácsi, Thinh P. Ngo, Binh T. Nguyen, Michael Barz, Daniel Sonntag

“…Abstract Comprehending how humans process visual information in dynamic settings is crucial for psychology and designing user-centered interactions. …”
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Comprehensive VR dataset for machine learning: Head- and eye-centred video and positional dataThe Adaptive Mind Datahub by Alexander Kreß, Markus Lappe, Frank Bremmer

“…Using a VR motion platform, participants navigated these environments freely while their eye movements and positional data were captured and stored in CSV format. The dataset spans six distinct environments, including one specifically for calibrating the motion platform, and provides a cumulative playtime of over 10 h for both head- and eye-centred perspectives.The data collection was conducted in naturalistic VR settings, where participants collected virtual coins scattered across diverse landscapes such as grassy fields, dense forests, and an abandoned urban area, each characterized by unique ecological features. …”
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Validating a window view simulation engine based on open data and open source using semantic segmentation by A.-M. Bolte, T. Kistemann, T. Kistemann, T. Kötter, Y. Dehbi

“…The visual access to urban green spaces through window views plays a key role in increasing well-being, particularly for those with limited mobility. …”
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Satellite data, information, or knowledge? Critiquing how Arctic environmental NGOs derive meaning and power from imagery by Mia M. Bennett

“…Arctic ENGOs are interested in accessing, analyzing, and sharing satellite imagery for purposes including tracking marine mammal migrations, mapping coastal inundations for Indigenous communities, pinpointing pollution in an increasingly off-limits Russia, and visualizing and communicating climate change. A limited number of Arctic ENGOs with geospatial skills are able to analyze satellite data, largely from public sources and occasionally from commercial sources, and turn it into information and knowledge. …”
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Color image reversible data hiding based on adaptive capacity allocation and pixel value similarity distance sorting by Ningxiong Mao, Chunping Ouyang, Yaping Wan, Lingfeng Qu, Yuan Yuan

“…Abstract Most existing reversible data hiding (RDH) algorithms for color images adopt a fixed-ratio capacity allocation approach, often resulting in allocation errors. …”
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mzGroupAnalyzer--predicting pathways and novel chemical structures from untargeted high-throughput metabolomics data. by Hannes Doerfler, Xiaoliang Sun, Lei Wang, Doris Engelmeier, David Lyon, Wolfram Weckwerth

“…At the same time it is impossible to handle the amount of data involved in a metabolomics analysis manually. …”
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