Assessing the Impacts of the Israeli–Palestinian Conflict on Global Sea Transportation: From the View of Mass Tanker Trajectories by Bing Zhang, Xiaohui Chen, Haiyan Liu, Lin Ye, Ran Zhang, Yunpeng Zhao

“…By using the global vessel trajectory data of tankers from the Automatic Identification System (AIS) and taking the global sea transportation of large tankers as an example, this paper quantifies and visualizes the changes in global sea transportation before and after conflicts from a data-driven perspective. …”
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Field-level Comparison and Robustness Analysis of Cosmological N-body Simulations by Adrian E. Bayer, Francisco Villaescusa-Navarro, Sammy Sharief, Romain Teyssier, Lehman H. Garrison, Laurence Perreault-Levasseur, Greg L. Bryan, Marco Gatti, Eli Visbal

“…Our findings motivate the need for careful data filtering and the use of field-level OOD metrics, such as PQMass, to ensure robust inference.…”
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SLIP-flood: Soft-combination of Swin Transformer and Lightweight Language-Image Pre-training for Flood Images Classification by Heng Tang, Xiaoping Rui, Jiarui Li, Ninglei Ouyang, Yiheng Xie, Xiaodie Liu, Yiming Bi

“…Flood monitoring is a complex task involving multimodal data mining and multitask collaboration. In order to leverage the role of multimodal data in flood management, conducting visual-language pretraining (VLP) in the field of flood disaster monitoring and obtaining foundational pretraining models that are suitable for multiple downstream flood-related tasks is an urgent problem that needs to be addressed. …”
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Disaster in the Headlines: Quantifying Narrative Variation in Global News Using Topic Modeling and Statistical Inference by Fahim Sufi, Musleh Alsulami

“…The findings reveal that disaster narratives vary by event type and geopolitical context, supported by a mathematically robust, scalable, data-driven method for analyzing media framing of global crises.…”
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Dataset Dependency in CNN-Based Copy-Move Forgery Detection: A Multi-Dataset Comparative Analysis by Potito Valle Dell’Olmo, Oleksandr Kuznetsov, Emanuele Frontoni, Marco Arnesano, Christian Napoli, Cristian Randieri

“…Similarly, we observed that data augmentation was able to improve performance on large datasets but was ineffective on smaller ones. …”
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Application of Enhanced Weighted Least Squares with Dark Background Image Fusion for Inhomogeneity Noise Removal in Brain Tumor Hyperspectral Images by Jiayue Yan, Chenglong Tao, Yuan Wang, Jian Du, Meijie Qi, Zhoufeng Zhang, Bingliang Hu

“…The inhomogeneity of spectral pixel response is an unavoidable phenomenon in hyperspectral imaging, which is mainly manifested by the existence of inhomogeneity banding noise in the acquired hyperspectral data. It must be carried out to get rid of this type of striped noise since it is frequently uneven and densely distributed, which negatively impacts data processing and application. …”
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Quantifying winter forage resources for reindeer: Developing a method to estimate ground lichen cover and biomass at a local scale by Erik Cronvall, Sven Adler, Per Sandström, Anna Skarin

“…Following this, we collected field data on lichen cover and height in these plots. In addition, we compared methods for assessing lichen cover in the field and found that visual estimates resulted in lower values than a point-intercept method. …”
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Support of individual educational trajectories based on the concept of explainable artificial intelligence by I. G. Zakharova, M. S. Vorobeva, Yu. V. Boganyuk

“…A preliminary analysis of significant volumes of initial data made it possible to obtain objective information about the data quality, including the content and structure of documents presented in various university information systems. …”
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Machine Learning-Driven Customer Segmentation: A Behavior-Based Approach for F&B Providers by Jacint JUHASZ

“…Using one year of invoice-level transactional data from a Romanian Food and Beverage (F&B) provider serving restaurants and coffee shops, the research aims to deliver actionable insights to enhance marketing and sales strategies. …”
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Tracking Religious Freedom Violations with the Violent Incidents Database: A Methodological Approach and Comparative Analysis by Dennis P. Petri, Kyle J. Wisdom, John T. Bainbridge

“…We offer a preliminary analysis of the data collected through the end of 2024 with selected figures for data visualization. …”
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A comparative analysis of biometric parameters of optic nerves obtained by ultrasonic sensors of varied frequencies by V. V. Neroev, T. N. Kiseleva, M. S. Zaytsev, A. V. Baeva, E. K. Eliseeva, A. I. Ushakov

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Long term investigation of bonding characteristics between PVC based inhibitor and HTPB/IPDI based propellant by Radulović Jovan, Milojković Aleksandar

“…Based on visual appearance of mentioned separated parts an assessment of way of separation was done. …”
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Insurance claims estimation and fraud detection with optimized deep learning techniques by P. Anand Kumar, S. Sountharrajan

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Extraction of typical oyster pile columns in the Maowei Sea, Beibu Gulf, based on unmanned aerial vehicle laser point cloud orthophotos by Jinze Du, Jinze Du, Meiqin Huang, Zhenjun Kang, Zhenjun Kang, Zhenjun Kang, Yichao Tian, Yichao Tian, Yichao Tian, Jin Tao, Jin Tao, Qiang Zhang, Qiang Zhang, Yutong Xie, Yutong Xie, Yutong Xie, Jinying Mo, Jinying Mo, LiYan Huang, LiYan Huang, Yusheng Feng, Yusheng Feng

“…Consequently, obtaining data on oyster pile columns and oyster seedling culture areas presents certain limitations. …”
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A Comprehensive Review on Light Field Occlusion Removal: Trends, Challenges, and Future Directions by Mostafa Farouk Senussi, Mahmoud Abdalla, Mahmoud Salaheldin Kasem, Mohamed Mahmoud, Bilel Yagoub, Hyun-Soo Kang

“…Overcoming occlusions in light field (LF) imaging is a challenging yet complex task crucial for scene understanding, image quality enhancement, and restoring visual details in obstructed scenes. This review examines contemporary occlusion removal methods, spanning from classical techniques to advanced deep learning approaches that leverage LF data’s spatial and angular dimensions. …”
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BIM-GIS Integration for Interactive, Open and Low-Cost 3D Land Use Registration and Urban Neighbourhood Management by Dimitra Andritsou, Chryssy Potsiou

“…The proposed platform is structured for registering, classifying and visualizing volumetric land use prisms, distributing conceptual and geometric information, conducting statistical analyses and data exchange aiming for optimal decision making, urban neighbourhood management and land use tracking. …”
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Impacts of farming and herding activities on land use and land cover changes in the north eastern corridor of Ghana: A comprehensive analysis by Nanii Yenibehit, Abubakari Abdulai, Joseph Amikuzuno, James Kofi Blay

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SNP‐RFLP Markers for the Study of Arabidopsis lyrata by Michelle Liu, Avery Chambers, Braidy Chambers, Alberto Aleman, Marc Stift, Katya Mamonova, Joanna Freeland, Marcel Dorken

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A Catalog of Hα Emission-line Stars and 785 Newly Identified Young Stellar Object Candidates from LAMOST Based on a Deep Learning Method by Lei Tan, Ying Mei, Jiale Qian, Xiaolong Wang, Yue Cui, Aixin Huang, Feng Wang, Hui Deng, Chao Liu, Huanbin Chi

“…In this paper, we use bidirectional long short-term memory networks and convolutional neural networks to identify H α emission-line stars in medium-resolution spectra from the Large Area Multi-Target Fiber Optic Spectroscopic Telescope (LAMOST) survey, and further search for YSO candidates via the Li absorption line. We constructed a data set by crossmatching previously published data sets with LAMOST data and performing manual verification. …”
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Digiral marketplaces and their effect to corporates’ business models and structures by Sergey N. Lavrov, Sergey V. Neklyudov

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