Assessment of groundwater resources from geophysical and remote sensing data in a basement complex environment using fuzzy-topsis algorithm by Kola Abdul-Nafiu Adiat, Abdulgafar Opeyemi Kolawole, Igbagbo Adedotun Adeyemo, Ayokunle Adewale Akinlalu, Daniel Oluwafunmilade Afolabi

“…The study employed the electrical resistivity method, utilising the Vertical Electrical Sounding (VES) technique with the Schlumberger array while the remote sensing data used were the Digital Elevation Model (DEM) image and Landsat ETM image which were processed to generate key groundwater conditioning factors. …”
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Meta-Learning-Based LSTM-Autoencoder for Low-Data Anomaly Detection in Retrofitted CNC Machine Using Multi-Machine Datasets by Ji-Min Woo, Seong-Hyeon Ju, Jin-Hyeon Sung, Kyung-Min Seo

“…In recent manufacturing environments, the use of digitally retrofitted equipment has grown substantially, yet this trend also amplifies the challenge of ensuring stable operation through effective anomaly detection. …”
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Automated diagnosis and classification of metacarpal and phalangeal fractures using a convolutional neural network: a retrospective data analysis study by Michael Axenhus, Anna Wallin, Jonas Havela, Sara Severin, Ablikim Karahan, Max Gordon, Martin Magnéli

“…A CNN architecture was based on ResNet and implemented using PyTorch, with the integration of data augmentation techniques. …”
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A comprehensive image dataset for accurate diagnosis of betel leaf diseases using artificial intelligence in plant pathologyMendeley Data by Rashidul Hasan Hridoy, Md. Tarek Habib, Imran Mahmud, Aminul Haque, Md Abdulla Al Mamun

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Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets by Muhammad Zeeshan, Qaiser Riaz, Muhammad Ahmad Bilal, Muhammad K. Shahzad, Hajira Jabeen, Syed Ali Haider, Azizur Rahim

“…Since its inception, the Internet of Things (IoT) has witnessed mushroom growth as a breakthrough technology. …”
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Comparison of Conservation Strategies for California Channel Island Oak (Quercus tomentella) Using Climate Suitability Predicted From Genomic Data by Alayna Mead, Sorel Fitz‐Gibbon, John Knapp, Victoria L. Sork

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Deep learning-based classification of coronary arteries and left ventricle using multimodal data for autonomous protocol selection or adjustment in angiography by Arpitha Ravi, Philipp Bernhardt, Mathis Hoffmann, Florian Kordon, Siming Bayer, Stephan Achenbach, Andreas Maier

“…We compared three deep-learning architectures: ResNet-50 for image data, a Multilayer Perceptron (MLP) for angulation data, and a multimodal approach combining both. …”
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Substance use service availability in HIV treatment programs: Data from the global IeDEA consortium, 2014-2015 and 2017. by Angela M Parcesepe, Kathryn Lancaster, E Jennifer Edelman, Raquel DeBoni, Jeremy Ross, Lukoye Atwoli, Mpho Tlali, Keri Althoff, Judicaël Tine, Stephany N Duda, C William Wester, Denis Nash, IeDEA Consortium

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ARKAIV: Predicting Data Exfiltration Using Supervised Machine Learning Based on Tactics Mapping From Threat Reports and Event Logs by Arif Rahman Hakim, Kalamullah Ramli, Muhammad Salman, Bernardi Pranggono, Esti Rahmawati Agustina

“…To create our dataset, we extracted tactics from threat reports, refined the data to include ten features, and balanced using the Synthetic Minority Oversampling Technique with Edited Nearest Neighbor (SMOTE+ENN) technique. …”
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Accurate sub-seasonal root-zone soil moisture prediction using attention-based autoregressive transfer learning and SMAP data by Lei Xu, Xihao Zhang, Xi Zhang, Tingtao Wu, Hongchu Yu, Wenying Du, Zeqiang Chen, Nengcheng Chen

“…The Soil Moisture Active Passive Level 4 (SMAP L4) data demonstrates great value in RZSM estimation. …”
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Joint identification of hydraulic conductivity and groundwater pollution sources using unscented Kalman smoother with multiple data assimilation and deep learning by Jiuhui Li, Zhengfang Wu, Shuo Zhang, Wenxi Lu

“…Identification of groundwater pollution sources (IGPSs) is a prerequisite for pollution remediation and pollution risk prediction. Data assimilation approaches have been used extensively in IGPSs field in recent years. …”
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Automated Detection of Gibbon Calls From Passive Acoustic Monitoring Data Using Convolutional Neural Networks in the “Torch for R” Ecosystem by Dena J. Clink, Jinsung Kim, Hope Cross‐Jaya, Abdul Hamid Ahmad, Moeurk Hong, Roeun Sala, Hélène Birot, Cain Agger, Thinh Tien Vu, Hoa Nguyen Thi, Thanh Nguyen Chi, Holger Klinck

“…Here, we evaluate a workflow for the automated detection and classification of acoustic signals from passive acoustic monitoring (PAM) data. Our specific goals include (1) present a method for automated detection of gibbon calls from PAM data using the “torch for R” ecosystem, (2) conduct a series of benchmarking experiments and compare the results of six CNN architectures; and (3) investigate how well the different architectures perform on data sets of the female calls from two different gibbon species: the northern gray gibbon (Hylobates funereus) and the southern yellow‐cheeked crested gibbon (Nomascus gabriellae). …”
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Impacts of Spatial Expansion of Urban and Rural Construction on Typhoon-Directed Economic Losses: Should Land Use Data Be Included in the Assessment? by Siyi Zhou, Zikai Zhao, Jiayue Hu, Fengbao Liu, Kunyuan Zheng

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An Improved COLD Approach for Monitoring Construction Dynamics Using HLS and LULC Data: A Case Study in the New Capital of Egypt by M. Abdallah, M. Abdallah, M. Abdallah, E. Ali, E. Ali, X. Ding, X. Ding, S. Wu, S. Wu

“…The Continuous Monitoring of Land Disturbances (COLD) algorithm is a widely used method for detecting rapid ground changes using Harmonized Landsat and Sentinel (HLS) data. …”
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Prevalence and associated factors of adolescent fatherhood in Ethiopia: A multilevel analysis using the 2016 Ethiopian demographic health survey data. by Misganaw Gebrie Worku, Getayeneh Antehunegn Tesema, Achamyeleh Birhanu Teshale

“…<h4>Methods</h4>This study used the 2016 Ethiopian Demographic and Health Survey (EDHS) data. …”
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Analysis of Adverse Events Associated With Dental Local Anaesthetics Using Food and Drug Administration Adverse Event Reporting System Data by Ferit Bayram, Ahmet Akici, Asli Melda Apari, Volkan Aydin

“…Besides, serious outcomes appear as more likely in females and those where additional drug use was reported. Clinical Relevance: The integration of clinical evidence with pharmacovigilance data has the potential to influence clinicians’ LA preferences in dental practice, enabling more informed and evidence-based decision-making.…”
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Using High-Resolution Multispectral Data to Evaluate In-Season Cotton Growth Parameters and End-of-the-Season Cotton Fiber Yield and Quality by Lorena N. Lacerda, Matheus Ardigueri, Thiago O. C. Barboza, John Snider, Devendra P. Chalise, Stefano Gobbo, George Vellidis

“…Estimating cotton fiber quality early in the season, or its field variability, is impractical due to limitations in current methods, and it has not been widely explored. Similarly, few studies have tried estimating the parameters contributing to in-season cotton yield using UAV-based sensors. …”
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Severe COVID-19 pneumonia: Perfusion analysis in correlation with pulmonary embolism and vessel enlargement using dual-energy CT data. by Florian Poschenrieder, Stefanie Meiler, Matthias Lubnow, Florian Zeman, Janine Rennert, Gregor Scharf, Jan Schaible, Christian Stroszczynski, Michael Pfeifer, Okka W Hamer

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Validation of a data-driven motion-compensated PET brain image reconstruction algorithm in clinical patients using four radiotracers by Ole L. Munk, Anders B. Rodell, Patricia B. Danielsen, Josefine R. Madsen, Mie T. Sørensen, Niels Okkels, Jacob Horsager, Katrine B. Andersen, Per Borghammer, Joel Aanerud, Judson Jones, Inki Hong, Sven Zuehlsdorff

“…Validation was conducted using phantom scans, healthy volunteers, and clinical patients using four radiotracers with distinct tracer activity distributions. …”
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Evaluation of Lyso-Gb1 as a biomarker for Gaucher disease treatment outcomes using data from the Gaucher Outcome Survey by Ari Zimran, Shoshana Revel-Vilk, Tama Dinur, Majdolen Istaiti, Jaco Botha, Elena Lukina, Pilar Giraldo, Patrick Deegan, Stephan vom Dahl

“…We evaluated the change in lyso-Gb1 concentration over time following enzyme replacement therapy in patients with confirmed GD using real-world data from the Gaucher Outcome Survey disease registry. …”
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