Lightweight CNN model for automatic detection and depth estimation of subsurface voids using GPR B-scan data by Abdelaziz Mojahid, Driss EL Ouai, Khalid EL Amraoui, Khalil EL-Hami, Hamou Aitbenamer, Jochem Verrelst, Pier Matteo Barone

“…Testing experiments were performed using eight profiles where cavity detection was confirmed by borehole data. The results demonstrate an impressive 100% success rate for cavity detection and over 95% accuracy in depth estimation. …”
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FDRL: a data-driven algorithm for forecasting subsidence velocities in Himalayas using conventional and traditional soil features by Sahil Sankhyan, Ajoy Kumar, Praveen Kumar, Aaditya Sharma, K. V. Uday, Varun Dutt

“…Traditional subsidence velocity forecasting models, however, typically rely on either satellite remote sensing data or geotechnical parameters in isolation, which limits their predictive power and applicability. …”
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SpaCCC: Large Language Model-Based Cell-Cell Communication Inference for Spatially Resolved Transcriptomic Data by Boya Ji, Xiaoqi Wang, Debin Qiao, Liwen Xu, Shaoliang Peng

“…Drawing parallels between linguistic constructs and cellular biology, Large Language Models (LLMs) have achieved success in diverse downstream applications for single-cell data analysis. However, to date, it still lacks methods to take advantage of LLMs to infer Ligand-Receptor (LR)-mediated cell-cell communications for spatially resolved transcriptomic data. …”
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Research on Missing Data Estimation Method for UPFC Submodules Based on Bayesian Multiple Imputation and Support Vector Machines by Xiaoming Yu, Jun Wang, Ke Zhang, Zhijun Chen, Ming Tong, Sibo Sun, Jiapeng Shen, Li Zhang, Chuyang Wang

“…Future research will explore dynamic weight optimization and extend the framework to multi-source heterogeneous data applications.…”
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Interpretable Machine Learning Framework for Corporate Financialization Prediction: A SHAP-Based Analysis of High-Dimensional Data by Yanhe Wang, Wei Wei, Zhuodong Liu, Jiahe Liu, Yinzhen Lv, Xiangyu Li

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Post-infectious irritable bowel syndrome in a paediatric population: first data in a Middle Eastern country by Sara Mina, Sara Daher, Sara Jamal Elddin, Nour Mina, Walid Nasreddine

“…Clinical trial number Not applicable.…”
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Volumetric measurement of cranial cavity and cerebral ventricular system with 3D Slicer software based on CT data by Yanming Huang, Junxiang Huang, Celin Guan, Tianqing Liu, Shuanglin Que

“…Clinical trial number Not applicable.…”
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Multimodal Classification of Alzheimer’s Disease Using Longitudinal Data Analysis and Hypergraph Regularized Multi-Task Feature Selection by Shuaiqun Wang, Huan Zhang, Wei Kong

“…While magnetic resonance imaging has become an indispensable neuroimaging modality for Alzheimer’s disease diagnosis and monitoring, current diagnostic paradigms predominantly rely on single-time-point data analysis, neglecting the inherent longitudinal nature of neuroimaging applications. …”
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Automated Digitization Approach for Road Intersections Mapping: Leveraging Azimuth and Curve Detection from Geo-Spatial Data by Ahmad M. Senousi, Wael Ahmed, Xintao Liu, Walid Darwish

“…Its adaptability to varying input data quality makes it particularly valuable for large-scale infrastructure monitoring and smart city applications.…”
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Hinge-FM2I: an approach using image inpainting for interpolating missing data in univariate time series by Saad Noufel, Nadir Maaroufi, Mehdi Najib, Mohamed Bakhouya

“…One common issue with data quality is the absence of data points, referred to as missing data values. …”
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An explainable machine learning framework for railway predictive maintenance using data streams from the metro operator of Portugal by Silvia García-Méndez, Francisco de Arriba-Pérez, Fátima Leal, Bruno Veloso, Benedita Malheiro, Juan Carlos Burguillo-Rial

“…This work contributes to a real-time data-driven predictive maintenance solution for Intelligent Transportation Systems. …”
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Medium- Long-Term Runoff Forecasting Using Interpretable Hybrid Machine Learning Model for Data-Scarce Regions by YOU Yu-jun, BAI Yun-gang, LU Zhen-lin, ZHANG Jiang-hui, CAO Biao, LI Wen-zhong, YU Qi-ying

“…[Objectives] This study aims to analyze the applicability of existing precipitation, temperature, and runoff data in data-scarce regions, and to develop and evaluate a deep learning hybrid model driven by multi-source information for improving the accuracy of monthly runoff forecasting. …”
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Seamless Integration of UOWC/MMF/FSO Systems Using Orbital Angular Momentum Beams for Enhanced Data Transmission by Mehtab Singh, Somia A. Abd El-Mottaleb, Hassan Yousif Ahmed, Medien Zeghid, Abu Sufian A. Osman

“…This hybrid design is well suited for applications such as oceanographic research, offshore monitoring, and the Internet of Underwater Things (IoUT), enabling efficient data transfer between underwater nodes and surface stations.…”
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Arctic Sea Ice Surface Temperature Retrieval from FengYun-3A MERSI-I Data by Yachao Li, Tingting Liu, Zemin Wang, Mohammed Shokr, Menglin Yuan, Qiangqiang Yuan, Shiyu Wu

“…In this study, we developed an applicable single-channel algorithm to retrieve ISTs from MERSI-I data. …”
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Assessing 1‐Second ROTI for Ionospheric Perturbation Monitoring Using Real‐Time Multi‐GNSS Data in China by Zhouyu Zhang, Ningbo Wang, Ang Liu, Zishen Li, Ang Li, Liangliang Wang, Yunlong Zhang

“…Abstract With the onset of solar activities of the 25th solar cycle, ionospheric perturbations have become increasingly frequent, posing significant challenges to various applications of Global Navigation Satellite Systems (GNSS). …”
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A century of Sudd wetland’s water storage dynamics using reconstructed and downscaled GRACE/GRACE-FO Data by Dinuka Kudagama, Joseph Awange, Jielong Wang, Ayalsew Zerihun, Leidy Luna

“…Our findings show that the downscaled TWSA exhibits a significant correlation with the Global Land Data Assimilation System (correlation coefficient of 0.72) and the WaterGAP Global Hydrology Model (0.65), indicating its potential utility in climate variability analysis. …”
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Harnessing Deep Learning for Enhanced MPPT in Solar PV Systems: An LSTM Approach Using Real-World Data by Bappa Roy, Shuma Adhikari, Subir Datta, Kharibam Jilenkumari Devi, Aribam Deleena Devi, Taha Selim Ustun

“…The data used for this study were sourced from NASA/POWER’s Native Resolution Daily Data of solar irradiation and temperature specific to Imphal, Manipur, India. …”
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Testing an inverse modeling approach with gradient boosting regression for stroke volume estimation using patient thermodilution data by Vasiliki (Vicky) Bikia, Dionysios Adamopoulos, Dionysios Adamopoulos, Dionysios Adamopoulos, Marco Roffi, Marco Roffi, Georgios Rovas, Stéphane Noble, Stéphane Noble, François Mach, François Mach, Nikolaos Stergiopulos

“…The significant reduction in computational time of our method for SV assessment should make it suitable for real-time clinical applications.…”
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Developing a Prediction Model for Real-Time Incident Detection Leveraging User-Oriented Participatory Sensing Data by Md Tufajjal Hossain, Joyoung Lee, Dejan Besenski, Branislav Dimitrijevic, Lazar Spasovic

“…Real crash data from the New Jersey Department of Transportation (NJDOT) and crowdsourced data from Waze were matched using the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm to differentiate true and false alerts. …”
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Automated oil spill detection using deep learning and SAR satellite data for the northern entrance of the Suez Canal by Mohamed Zakzouk, Abdulaziz M. Abdulaziz, Islam Abou El-Magd, Abdel Sattar Dahab, Elham M. Ali

“…In addition, the area prediction analysis confirmed the superior performance of the Egyptian-data-trained model, which estimated a total affected area of 421.20 km2, closely aligning with the ground truth of 425.20 km2, whereas the EMSA-CSN-data-trained model underestimated oil spills of around 323.98 km2. …”
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