Development of an Open GPR Dataset for Enhanced Bridge Deck Inspection by Da Hu

“…However, manual interpretation of GPR scans is labor-intensive, and annotated datasets for deep learning applications are limited. This study investigates YOLO-based deep learning models for automated rebar detection using a combination of real and synthetic GPR data. …”
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A large-scale dataset of AI-related tweets: Structure and descriptive statisticsGitHubDataverse by Nathalie de Marcellis-Warin, Daniel Kouloukoui, Thierry Warin

“…These tweets were extracted from a larger initial corpus using the keyword “Artificial Intelligence” and subsequently filtered to ensure data quality, multilingual coverage, and public accessibility. …”
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Taxi origin and destination demand prediction based on deep learning: a review by Dan Peng, Mingxia Huang, Zhibo Xing

“…Next, we discuss ongoing challenges in OD prediction, such as dynamics, spatiotemporal dependence, semantic differentiation, time window selection, and data sparsity problems, and summarize and compare potential solutions to each challenge. …”
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Research Progress on State of Charge Estimation Methods for Power Batteries in New Energy Intelligent Connected Vehicles by Hongzhao Li, Hongsheng Jia, Ping Xiao, Haojie Jiang, Yang Chen

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Mobile Phone and Internet Consumers Rights Compliance in Romania by Viorela Iacovoiu, Adrian Stancu, Crina Raluca Bucur

“…The research is focused on the analysis of regulations and contractual grievance procedures, number, distribution and motivation of consumer complaints, administrative quality indicators of data services and main consumer complaints. Among the documents under analysis we can mention contractual agreements, applicable procedures, as well as relevant empirical data provided by NAPC, NAMRC, economic operators and a site for online complaints, namely ReclamatieOnline.ro. …”
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Risk-Adjusted Estimation and Graduation of Transition Intensities for Disability and Long-Term Care Insurance: A Multi-State Model Approach by Beatriz A. Curioso, Gracinda R. Guerreiro, Manuel L. Esquível

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The Design, Creation, Implementation, and Study of a New Dataset Suitable for Non-Intrusive Load Monitoring by Carlos Rodriguez-Navarro, Francisco Portillo, Francisco G. Montoya, Alfredo Alcayde

“…The proposed approach contributes to a standardized and scalable NILM framework, facilitating real-world applications in energy management and smart grid optimization.…”
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U-SeqNet: learning spatiotemporal mapping relationships for multimodal multitemporal cloud removal by Qian Zhang, Xiangnan Liu, Tao Peng, Xiao Yang, Mengzhen Tang, Xinyu Zou, Meiling Liu, Ling Wu, Tingwei Zhang

“…Optical remotely sensed time series data have various key applications in Earth surface dynamics. …”
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A dependence detection heuristic in causal induction to handle nonbinary variables by Kohki Higuchi, Tomohiro Shirakawa, Hiroto Ichino, Tatsuji Takahashi

“…The simulation results also indicated that our model is a good estimator of population mutual information when only a small amount of observational data is available and when the probabilities of cause and effect are nearly equal and both probabilities are small.…”
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Artificial intelligence in diabetology by V. V. Klimontov, V. B. Berikov, O. V. Saik

“…Data mining and text mining open up new possibilities for processing this information. …”
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An Exploratory Assessment of LLMs’ Potential for Flight Trajectory Reconstruction Analysis by Qilei Zhang, John H. Mott

“…Despite these promising outcomes, the study identifies notable limitations, particularly related to model hallucination outputs and token length constraints that restrict the model’s scalability to extended data sequences. Ultimately, this research underscores the substantial potential of LLMs to revolutionize flight trajectory reconstruction and their promising role in time series data processing, opening broader avenues for advanced applications throughout the aviation and transportation sectors.…”
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An Improved Random Forest Approach on GAN-Based Dataset Augmentation for Fog Observation by Yucan Cao, Panpan Zhao, Balin Xu, Jingshu Liang

“…The monitoring of fog density is of great importance in meteorology and its applications in environment, aviation and transportation. …”
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Vehicle Trajectory Generation Based on Generation Adversarial Network by Zhonghe He, Renchi Shao, Sijia Xiang

“…Therefore, virtual trajectory data can obscure vehicle information, addressing the privacy concerns associated with moving trajectory data and enhancing the security of applications. …”
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SIBILA: Automated Machine-Learning-Based Development of Interpretable Machine-Learning Models on High-Performance Computing Platforms by Antonio Jesús Banegas-Luna, Horacio Pérez-Sánchez

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Energy Optimal Configuration Strategy of Distributed Photovoltaic Power System for Multi-Level Distribution Network by Yanmin Wang, Hanqing Zhang, Weiqi Zhang, Song Han, Yuzhuo Yang

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A physically based analytical model of flood frequency curves by S. Basso, M. Schirmer, G. Botter

“…The approach provides a framework for the prediction of floods based on short data series of rainfall and daily streamflows that may be especially valuable in data scarce regions of the world.…”
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The Eclipsing Binaries via Artificial Intelligence. II. Need for Speed in PHOEBE Forward Models by Marcin Wrona, Andrej Prša

“…In modern astronomy, the quantity of data collected has vastly exceeded the capacity for manual analysis, necessitating the use of advanced artificial intelligence (AI) techniques to assist scientists with the most labor-intensive tasks. …”
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Multimodal AI-driven object detection with uncertainty quantification for cardiovascular risk assessment in autistic patients by Ling Tang, Chengchao Shen

“…Furthermore, an uncertainty quantification module is embedded to improve model interpretability and reliability, addressing concerns regarding AI-based medical decision-making.ResultsExperimental evaluations demonstrate that our method significantly outperforms traditional diagnostic techniques in sensitivity and specificity, making it a robust tool for clinical applications.DiscussionThe proposed framework represents a significant step towards personalized and data-driven cardiovascular care for autistic patients, aligning with the need for tailored diagnostic solutions in this specialized medical domain.…”
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InLeR: A Vehicle-Mounted IoT Solution for Efficient Streetlight Monitoring by Syed Salman Alam, Najam Us Saqib, Arshad Khan, Waqas Bukhari, Riad Souissi

“…Additionally, InLer integrates GNSS/GPS technology for precise geolocation, enabling detailed spatial analysis when combined with light-intensity data. A comprehensive calibration analysis presented in this paper validates the system’s accuracy and consistency, establishing InLer as a state-of-the-art solution with wide-ranging applications across multiple sectors.…”
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Problems of Modern Transformation of Statistics by O. E. Mikhnenko, V. N. Salin

“…Statistics currently is developing under the influence of digital and Bid Data technologies improvement. Being Internet technologies they are connected with the applications targeting at the formation of market of standardized services which can be used jointly by multiple consumers. …”
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