Tackling the Problem of Distributional Shifts: Correcting Misspecified, High-dimensional Data-driven Priors for Inverse Problems by Gabriel Missael Barco, Alexandre Adam, Connor Stone, Yashar Hezaveh, Laurence Perreault-Levasseur

“…However, in many astrophysical applications it is often difficult or even impossible to acquire independent and identically distributed samples from the underlying data-generating process of interest to train these models. …”
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Learning Innovations Through Exploration and Exploitation in Russian Regions: A Nonlinear Panel Data Interaction Model by Yegor Leonidovich Domnich

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An Efficient Communication Protocol for Real-Time Body Sensor Data Acquisition and Feedback in Interactive Wearable Systems by Armands Ancans, Modris Greitans, Sandis Kagis

“…These results indicate that the proposed approach is suitable for interactive wearable systems, both for real-time applications and high-resolution data acquisition.…”
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Research on identity authentication and data security of photovoltaic power generation management personnel based on blockchain technology. by Fan Xu, Dengping Zhang

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A review of the role of active remote sensing and data fusion for characterizing forest in wildlife habitat models by J. C. Vogeler, W. B. Cohen

“…We also highlight the potential value in data fusion of active and passive sensor data for representing multiple dimensions and scales of forest habitat. …”
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TerrAInav Sim: An Open-Source Simulation of UAV Aerial Imaging from Map-Based Data by Seyedeh Parisa Dajkhosh, Peter M. Le, Orges Furxhi, Eddie L. Jacobs

“…A supplementary dataset is also provided, which includes data from a 3D world generation package for comparison.…”
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Revealing High‐Temporal‐Resolution Flood Evolution With Low Latency Using GRACE Follow‐On Ranging Data by Hao‐si Li, Shuang Yi, Zi‐ren Luo, Peng Xu

“…Abstract An emerging approach is utilizing the line‐of‐sight gravity difference (LGD) between the twin Gravity Recovery and Climate Experiment Follow‐On (GFO) satellites to refine the temporal resolution of water storage estimates from 1 month to days, thus making the data applicable to transient extreme climate events like floods. …”
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Leveraging open source land use and land cover data for urban and regional planning in transforming areas by Florian Klopfer, Dietwald Gruehn

“…However, significant portions of this data remain underutilised. This article exemplifies the practical applicability of harnessing such data for advancing spatial planning within the Rhineland mining area, Germany – a region currently undergoing significant structural shifts induced by the upcoming coal phase-out. …”
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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

“…Our findings contribute to research on how prompt engineering can optimize structured data generation for AI-driven applications, as well as documenting limitations that motivate future work needed to improve LLMs for complex tasks.…”
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Forecasting the Bitcoin price using the various Machine Learning: A systematic review in data-driven marketing by Payam Boozary, Sogand Sheykhan, Hamed GhorbanTanhaei

“…The novelty lies in its comprehensive assessment of these methods in the context of data-driven marketing, aiming to enhance both academic understanding and practical applications in financial technology. …”
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SedDARE-IB: an open-access repository of sediment data for the Iberian Peninsula and its continental margins by M. Torne, T. M. Alves, I. Jiménez-Munt, J. Carvalho, C. Ayala, E. C. Ramalho, A. M. Gómez-García, H. Matias, H. Heida, A. Balaguera, J. L. García-Lobón, J. Vergés

“…As an example of the broad applicability of the data included in SedDARE-IB, we investigate how sediment thickness affects the depth to the 150 °C isotherm in specific basins, as commonly used in geothermal exploration. …”
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General Framework for Georeferencing and Interpretation of Multi-Resolution LiDAR Data for Fine-Scale Forest Inventory by H. Hanafy, S.-Y. Shin, A. M. Eissa, Y. Hany, S. Park, S. Fei, A. Habib

“…Combining near-proximal and proximal Light Detection and Ranging (LiDAR) data produces point clouds that fully capture the forest structure. …”
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Categorization of 34 computational methods to detect spatially variable genes from spatially resolved transcriptomics data by Guanao Yan, Shuo Harper Hua, Jingyi Jessica Li

“…Abstract In the analysis of spatially resolved transcriptomics data, detecting spatially variable genes (SVGs) is crucial. …”
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Deterministic Light Detection and Ranging (LiDAR)-Based Obstacle Detection in Railways Using Data Fusion by Susana Dias, Pedro J. S. C. P. Sousa, João Nunes, Francisco Afonso, Nuno Viriato, Paulo J. Tavares, Pedro M. G. P. Moreira

“…While machine learning (ML) has proven effective in related applications, such as autonomous road-based driving, the railway sector faces unique challenges due to limited image data availability and difficult data acquisition, hindering the applicability of conventional ML methods. …”
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OPC-UA in artificial intelligence: a systematic review of the integration of data mining and NLP in industrial processes by Velesaca Henry O., Holgado-Terriza Juan A.

“…This systematic literature review explores the integration of OPC-UA with Data Mining and Natural Language Processing (NLP) techniques within industrial environments. …”
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A standardized framework for robust fragmentomic feature extraction from cell-free DNA sequencing data by Haichao Wang, Paulius D. Mennea, Yu Kiu Elkie Chan, Zhao Cheng, Maria C. Neofytou, Arif Anwer Surani, Aadhitthya Vijayaraghavan, Emma-Jane Ditter, Richard Bowers, Matthew D. Eldridge, Dmitry S. Shcherbo, Christopher G. Smith, Florian Markowetz, Wendy N. Cooper, Tommy Kaplan, Nitzan Rosenfeld, Hui Zhao

“…A lack of systematic evaluation of biases in feature quantification hinders the adoption of such applications. We compare features derived from whole-genome sequencing of ten healthy donors using nine library kits and ten data-processing routes and validated in 1182 plasma samples from published studies. …”
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Batik Lasem motifs dataset: Gunung Ringgit, Kricak, Latohan, Nyuk Pitu, SeritanMendeley Data by Vera Jenny Basiroen, Ida Bagus Kerthyayana Manuaba

“…The dataset is openly available in Mendeley Data to facilitate interdisciplinary studies on traditional textiles, cultural heritage preservation and digital applications in design and humanities.…”
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Big data to assess genre-specific features of the machine translation output of online travel reviews in Spanish by Miguel Ángel Candel-Mora

“… Big data analysis such as user-generated content and specifically online consumer reviews has attracted considerable attention in recent years due to its numerous research opportunities and commercial applications in almost all fields of knowledge. …”
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The Impact of Smartphone Use on Children’s Mental Health: A Digital Approach Based on AI and Big Data by Damaris HOTIMA, Darius TURCIAN

“…The study examines the relationship between excessive use of social media, digital devices, and the increase in cases of anxiety, depression, and self-harm. By utilizing Big Data and Artificial Intelligence (AI), innovative solutions are proposed for the early detection of mental health disorders and monitoring online behavior. …”
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Data mining of Students Withdrawal at University of Tehran, Focusing on Fee Paid Students (to prevent customer churn) by Saied Ali Akbar Ahmadi, Davood Karimzadgan, Toraj Khairati Kazerooni

“…This study is a descriptive an applicable technique that uses quantitative and qualitative data. …”
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