DMDiff: A Dual-Branch Multimodal Conditional Guided Diffusion Model for Cloud Removal Through SAR-Optical Data Fusion by Wenjuan Zhang, Junlin Mei, Yuxi Wang

“…Synthetic aperture radar (SAR), with its all-weather, all-day observation capabilities, serves as a valuable auxiliary data source for cloud removal (CR) tasks. Despite substantial progress in deep learning (DL)-based CR methods utilizing SAR data in recent years, challenges remain in preserving fine texture details and maintaining image visual authenticity. …”
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Quantitative research on aesthetic value of the world heritage karst based on UGC data: A case study of Huangguoshu Scenic Area. by Xi Zhao, Kangning Xiong, Meng Zhang

“…However, there is still a gap in the evaluation of natural landscape aesthetic value based on UGC(User Generated Content) data and deep learning models. This article is based on a public perspective, using social media UGC data, crawling images and texts as data sources, and combining SegFormer deep learning models, ArcGIS spatial analysis, natural Language Processing Technology (NLP) and other methods to conduct quantitative research on aesthetic value. …”
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MDFT-GAN: A Multi-Domain Feature Transformer GAN for Bearing Fault Diagnosis Under Limited and Imbalanced Data Conditions by Chenxi Guo, Vyacheslav V. Potekhin, Peng Li, Elena A. Kovalchuk, Jing Lian

“…In industrial scenarios, bearing fault diagnosis often suffers from data scarcity and class imbalance, which significantly hinders the generalization performance of data-driven models. …”
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Explainable artificial intelligence with fusion-based transfer learning on adverse weather conditions detection using complex data for autonomous vehicles by Khaled Tarmissi, Hanan Abdullah Mengash, Noha Negm, Yahia Said, Ali M. Al-Sharafi

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Ionospheric Disturbances in GNSS TEC Data: SpaceX Falcon 9 Deorbit Maneuvers Over CONUS in April–May 2024 by P. A. Inchin, K. B. Deshpande, S. Egan, E. H. Lay, K. S. Obenberger, M. D. Zettergren, J. B. Snively

“…We present the newly developed System for Rapid Analysis of Ionospheric Dynamics (S‐RAID), providing data and visual GNSS TEC products of TIDs of periods ∼2–120 min and horizontal resolution up to tens of kilometers for years 2017–2024. …”
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Land Subsidence Assessment in the Darab Plain, Fars Province, Iran: Integrating Sentinel-1 InSAR and Groundwater Level Data by Luqman Othman, Jabar Majidi, Alan Amini

“…This study investigates the relationship between land subsidence and groundwater level decline in the Darab Plain, Fars Province, using Sentinel-1 satellite imagery and groundwater data from May 2017 to May 2019. To examine groundwater level variations in the Darab Plain, data from 31 piezometric wells were utilized. …”
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Squalomix: shark and ray genome analysis consortium and its data sharing platform [version 2; peer review: 2 approved] by John Rozewicki, Kazuaki Yamaguchi, Osamu Nishimura, Ryo Misawa, Takashi Asahida, Mitsumasa Koyanagi, Akihisa Terakita, Filipe Castro, André Machado, Milton Tan, Salvatore D'Aniello, Shotaro Hirase, Akane Kawaguchi, Chiharu Tanegashima, Akinori Teramura, Masaru Yagura, Taiki Niwa, Kaori Tatsumi, Yuta Ohishi, Susumu Hyodo, Mitsutaka Kadota, Itsuki Kiyatake, Keiichi Sato, Kazuyuki Yamada, Kiyonori Nishida, Yasuko Semba, Shinya Yamauchi, Sho Tanaka, Tatsuya Sakamoto, Norio Miyamoto, Atsushi Toyoda, Rui Matsumoto, Iker Irisarri, Atsuko Yamaguchi, Tazro Ohta, Kiyomi Murakumo, Junna Kawasaki, Masayuki Horie, Yoshinobu Uno, Shigehiro Kuraku

“…In the Squalomix consortium, these obstacles are expected to be solved through a combination of in-house cytological techniques including karyotyping of cultured cells, chromatin preparation for Hi-C data acquisition, and high fidelity long-read sequencing. …”
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High-capacity separable reversible data-Hiding method in encrypted images based on block-level encryption and Huffman compression coding by Kai-Meng Chen, Chin-Chen Chang

“…Reversible data hiding in encrypted images (RDHEI) is a technology that embeds data directly in the encrypted images without decryption or knowledge of the content of the images. …”
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Gamifying Sociological Surveys Through Serious Games—A Data Analysis Approach Applied to Multiple-Choice Question Responses Datasets by Alexandros Gazis, Eleftheria Katsiri

“…This article presents the data layer of our game’s middleware, specifically focusing on data analysis based on respondents’ gameplay answers. …”
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Geospatial Analysis of Urban Expansion Using Remote Sensing Methods and Data: A Case Study of Yangtze River Delta, China by Wei Sun, Jie Shan, Zhiming Wang, Lei Wang, Dianmei Lu, Zhifeng Jin, Kun Yu

“…Land use in the Yangtze River Delta in 2000 and 2017 was classified by the visual interpretation of Landsat satellite images. …”
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Exploring spatial association between residential and commercial urban spaces: A machine learning approach using taxi trajectory data by Lei Zhou, Weiye Xiao, Chen Wang, Haoran Wang

“…This research contributes to the literature by providing a novel framework to model, analyze and visualize people's mobility based on the trajectory big data, which is promising in future urban research. …”
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Exploring spatial association between residential and commercial urban spaces: A machine learning approach using taxi trajectory data by Lei Zhou, Weiye Xiao, Chen Wang, Haoran Wang

“…This research contributes to the literature by providing a novel framework to model, analyze and visualize people's mobility based on the trajectory big data, which is promising in future urban research. …”
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Application of Aerial Photographs and Coastal Field Data to Understand Sea Turtle Landing and Spawning Behavior at Kili-Kili Beach, Indonesia by Arief Darmawan, Satoshi Takewaka

“…Then, we calculate the number of spawning and non-spawning instances for each category, visualizing landing positions to identify local concentrations. …”
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Topological data mapping of online hate speech, misinformation, and general mental health: A large language model based study. by Andrew William Alexander, Hongbin Wang

“…Finally, a topological data analysis (TDA) was applied to the embeddings to obtain a visual map connecting online hate speech, misinformation, various psychiatric disorders, and general mental health.…”
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Digital Twin Framework for Bridge Slab Deterioration: From 2D Inspection Data to Predictive 3D Maintenance Modeling by Hyunhye Song, Kiyeol Kim, Jihun Shin, Gitae Roh, Changsu Shim

“…The integration of cumulative deterioration data significantly improves the accuracy of the performance predictions and facilitates data-driven maintenance and rehabilitation strategies.…”
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A Robust Tool for 3D Rail Mapping Using UAV Data Photogrammetry, AI and CV: qAicedrone-Rail by Innes Barbero-García, Diego Guerrero-Sevilla, David Sánchez-Jiménez, David Hernández-López

“…Traditional inspection methods, such as visual inspections, are inefficient and costly and pose safety risks. …”
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A model of feature extraction for well logging data based on graph regularized non-negative matrix factorization with optimal estimation by Kehong Yuan, Youlin Shang, Haixiang Guo, Yongsheng Dong, Zhonghua Liu

“…These two approaches are meaningful and beneficial to construct an appropriate basis matrix that discovers the intrinsic structure of well logging data. The visualized experimental results on real datasets from Jianghan oilfield in China show that the proposed method has significant clustering performance for reservoir oil-bearing recognition.…”
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Development of a digital treatment analyzer for the management of prostate cancer patients, with the help of real world data and use of predictive modelling by Lev Korolkov, Heather A Robinson, Konstantinos Mouratis

“…The Medical Information Mart for Intensive Care (MIMIC) IV dataset was utilized, including structured and unstructured data from the patient journey. The developed TA represents a promising approach to enhance personalized disease management strategies and adherence to PC guidelines. …”
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GeoTemporal clustering for aquifer delineation: a big data approach to synchronizing and analyzing variable-length groundwater time series by Khalid ElHaj, Dalal Alshamsi

“…The aquifer boundaries were geographically visualized using the GeoZ library. These findings suggest the effectiveness of groundwater characterization given the limited data. …”
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CSDK: A Chi-square distribution-Kernel method for image de-noising under the Internet of things big data environment by Lin Teng, Hang Li

“…Internet of things plays a key role in the big data processing, especially in image field. Image de-noising still is a key problem in image pre-processing. …”
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