Crop Classification Using Multi-Temporal RADARSAT Constellation Mission Compact Polarimetry SAR Data by Ramin Farhadiani, Saeid Homayouni, Avik Bhattacharya, Masoud Mahdianpari

“…The RADARSAT Constellation Mission (RCM) Compact Polarimetry (CP) data has become a key asset in crop mapping and monitoring for diverse agricultural landscapes. …”
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Predicting tennis match outcomes mid-game using machine learning on psychological and physical data by Boyuan Li, Zihui Deng, Gaurav Gupta, Jinger Li, Yixuan Miao

“…These models achieve predictive accuracies above 70% using the first 25% data of a game.…”
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Financial Technology and Financial Inclusion in Remote Areas of Algeria. Analytical Study Using Data Mining by Hassiba Hadouga

“…A data mining tool was used to analyze the study data, and the survey participants' K algorithm was later used to predict the behavior patterns of people from a similarly contextualized community regarding financial activities. …”
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Deep Convolutional Neural Network-Based Structural Damage Localization and Quantification Using Transmissibility Data by Sergio Cofre-Martel, Philip Kobrich, Enrique Lopez Droguett, Viviana Meruane

“…Damage diagnosis has become a valuable tool for asset management, enhanced by advances in sensor technologies that allows for system monitoring and providing massive amount of data for use in health state diagnosis. …”
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Investigation of Spectral Variations in Different Solar Photovoltaic Modules Using Spaceborne and In-Situ Hyperspectral Data by Shoki Shimada, Hiroki Mizuochi, Wataru Takeuchi

“…Four spectral indices (SIs) were defined based on the spectral characteristics of each PV type, and the discriminability of the different PV types based on the proposed indices was evaluated using a statistical metric. The potential to discriminate between different solar PV types was demonstrated through the combined use of satellite hyperspectral data and SIs.…”
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Prediction of the Marine Dynamic Environment for Arctic Ice-Based Buoys Using Historical Profile Data by Jingzi Zhu, Yu Luo, Tao Li, Yanhai Gan, Junyu Dong

“…To address this requirement, based on the profile data, including latitude and longitude, temperature, and salinity, collected by 56 buoys in the Arctic Ocean from 2014 to 2023, this paper uses the TSMixer time-series model to predict whether an ocean buoy is about to be inside a vortex. …”
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Predicting long-term deposit customers using convolutional neural network and data conversion technique by Adebayo Abdulganiyu Keji, Oluwafemi FAKEYE, Nneka N. ONOCHIE, Olumide SANGOTOKI

“…This study proposes a deep learning model using Residual Network architectural design and transfer learning on a Portuguese banking institution containing 40,811 training data, with 36,202 belonging to label 0 and 4639 belonging to label 1. …”
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Interpretable Process Monitoring Using Data-Driven Fuzzy-Based Models for Wastewater Treatment Plants by Rodrigo Salles, Miguel Proença, Rui Araújo, Jorge S. S. Júnior, Jérôme Mendes

“…Digital transformation of industry has gained emphasis in recent years in academia and industry. …”
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Estimating carbon stock using vegetation indices and empirical data in the upper awash river basin by Fekadu Legesse, Sileshi Degefa, Teshome Soromessa

“…The goal of this study was to determine carbon stocks using the linear correlation between field inventory and remote sensing data in the basin. …”
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High-Risk Test Scenario Generation for Autonomous Vehicles at Roundabouts Using Naturalistic Driving Data by Dian Ren, Helai Huang, Ye Li, Jieling Jin

“…Scenario-based virtual simulation testing has emerged as a crucial approach for testing autonomous vehicles, especially in critical scenarios under complex environments, such as merging scenarios at roundabouts with unique traffic features. …”
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A time series of urban extent in China using DSMP/OLS nighttime light data. by Yao Yao, Dongsheng Chen, Le Chen, Huan Wang, Qingfeng Guan

“…Urban extent data play an important role in urban management and urban studies, such as monitoring the process of urbanization and changes in the spatial configuration of urban areas. …”
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Connectivity Mapping for Candidate Therapeutics Identification Using Next Generation Sequencing RNA-Seq Data. by Darragh G McArt, Philip D Dunne, Jaine K Blayney, Manuel Salto-Tellez, Sandra Van Schaeybroeck, Peter W Hamilton, Shu-Dong Zhang

“…The advent of next generation sequencing technologies (NGS) has expanded the area of genomic research, offering high coverage and increased sensitivity over older microarray platforms. …”
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A scoping review of OMOP CDM adoption for cancer research using real world data by Liwei Wang, Andrew Wen, Sunyang Fu, Xiaoyang Ruan, Ming Huang, Rui Li, Qiuhao Lu, Heather Lyu, Andrew E. Williams, Hongfang Liu

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Distributed Fiber Optic Sensing for Fracture Geometry Inversion Using All Time Steps Data by Shaohua You, Geyitian Feng, Xiaojun Qian, Qinzhuo Liao, Zhengting Yan, Shuqi Sun, Xu Liu, Shirish Patil

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Spatial–Temporal Reconstruction of Trajectories in Free Space Using Automatic Target Position Detection Data by Yang Chen, Xin Chen, Bin Bai, Linjiang Zheng

“…The monitoring technology for targets such as aircraft and vehicles has rapidly developed in recent years and is widely used in national airspace security supervision, urban traffic supervision, and the tracking of special targets. …”
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Automatic eddy detection in Antarctic marginal ice zone using Sentinel-1 SAR data by Nikita Sandalyuk, Eduard Khachatrian, Ekaterina Marchuk

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Performance of an End-to-End Inventory Demand Forecasting Pipeline Using a Federated Data Ecosystem by Henrique Duarte Moura, Els de Vleeschauwer, Gerald Haesendonck, Ben De Meester, Lynn D’eer, Tom De Schepper, Siegfried Mercelis, Erik Mannens

“…Graph deep learning forecasting has the ability to comprehend intricate relationships, and it seamlessly tunes into the diverse, multi-retailer data present in a federated setup. …”
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Efficient IDS for IoT Networks Using Host-Based Data Aggregation and Multi-Entropy Analysis by Yusei Katsura, Arata Endo, Ismail Arai, Kazutoshi Fujikawa

“…These methods also face challenges related to computational resource burdens caused by the increased volume of input data. This study proposes a lightweight IDS with the host-based approach, representing communication behaviors with multiple entropies. …”
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Evaluation on the Quasi‐Realistic Ionospheric Prediction Using an Ensemble Kalman Filter Data Assimilation Algorithm by Jianhui He, Xinan Yue, Huijun Le, Zhipeng Ren, Weixing Wan

“…Abstract In this work, we evaluated the quasi‐realistic ionosphere forecasting capability by an ensemble Kalman filter (EnKF) ionosphere and thermosphere data assimilation algorithm. The National Center for Atmospheric Research Thermosphere Ionosphere Electrodynamics General Circulation Model is used as the background model in the system. …”
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Metastable Substructure Embedding and Robust Classification of Multichannel EEG Data Using Spectral Graph Kernels by Rashmi N. Muralinath, Vishwambhar Pathak, Prabhat K. Mahanti

“…The potential of graph Koopman embeddings in identifying latent metastable connectivity structures has been demonstrated with empirical analyses. The robustness of these features was evaluated using classifiers such as Decision Trees, Support Vector Machine (SVM), and Random Forest, on Epilepsy-EEG from the Children’s Hospital Boston’s (CHB)-MIT dataset and cognitive-load-EEG datasets from online repositories. …”
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