Robust Hybrid Data-Level Approach for Handling Skewed Fat-Tailed Distributed Datasets and Diverse Features in Financial Credit Risk by Musara Keith R, Ranganai Edmore, Chimedza Charles, Matarise Florence, Munyira Sheunesu

“…Data-level (DL) approaches have been suggested in the recent literature as remedies for skewed fat-tailed distributed datasets. …”
Get full text

Race-based sampling, measurement and monitoring in health data: promising practices to address racial health inequities and their determinants in Black Canadians by Margaret Jamieson, Alexandra Blair, Beth Jackson, Arjumand Siddiqi

“…ResultsWe identified 20 relevant surveys and data sources from the US, the UK, Australia and New Zealand. …”
Get full text

A Deep Learning‐Based Data Assimilation Approach to Characterizing Coastal Aquifers Amid Non‐Linearity and Non‐Gaussianity Challenges by Chenglong Cao, Jiangjiang Zhang, Wei Gan, Tongchao Nan, Chunhui Lu

“…To optimize the efficacy of ESDL, attention must be given to the design of the DL model and the selection of observational data, which are crucial to ensure the universal applicability of this DA method.…”
Get full text

Relationship Between the Results of Arm Swing Data From the OpenPose-Based Gait Analysis System and MDS-UPDRS Scores by Kenta Abe, Ken-Ichi Tabei, Keita Matsuura, Kazuyuki Kobayashi, Tomoyuki Ohkubo

“…Furthermore, none of the previous studies compared arm swing data measured from video images using OpenPose or other methods with the relevant items in the MDS-UPDRS. …”
Get full text

Global open data in local urban development: an actionable framework for adopting Global Human Settlement Layer (GHSL) in the Global South by Sujit Kumar Sikder, Mohit Kapoor, Prajwal Parmar, Md. Tariqul Islam, Kh Md Nahiduzzaman

“…The persistent scarcity of high-quality local data for urban areas in these regions remains a critical concern. …”
Get full text

How participation in deliberative engagement affects awareness of, and attitudes towards, genomics research and data sharing: evidence from rural Ghana by Irene Honam Tsey, Pamela Emefa Selormey, John Ganle, Patricia Akweongo, Paulina Tindana

“…Clinical trial number Not applicable.…”
Get full text

Data-driven insights of flow over heated elliptic cylinders: Machine learning and CFD perspectives on non-Newtonian forced convection by Anika Tahsin Meem, Md. Zhangir Hossain, Hasina Akter, Md. Mamun Molla

“…This study presents a comprehensive numerical and data-driven investigation of forced convection heat transfer and flow behavior of non-Newtonian fluids between two heated elliptic cylinders placed within a cold-walled channel. …”
Get full text

A Multi-Scale Self-Supervision Approach for Bearing Anomaly Detection Using Sensor Data Under Multiple Operating Conditions by Zhuoheng Dai, Lei Jiang, Feifan Li, Yingna Chen

“…The primary challenges in early fault detection for industrial applications include the severe imbalance of time-series data, where normal operating data vastly outnumber anomalous data, and in some cases, anomalies may be virtually absent. …”
Get full text

Impact of violence on emotional exhaustion risk of registered nurses in Germany: a Bayesian analysis of cross-sectional data with multiple imputations by Alessandro Campione, Cornelia Henschke

“…Clinical trial number Not applicable.…”
Get full text

Integrating data-driven and physics-based approaches for robust wind power prediction: A comprehensive ML-PINN-Simulink framework by Rajaperumal T. A, Christopher Columbus Chinnappan

“…To bridge the gap between pure data-driven learning and physical realism, a Physics-Informed Neural Network was subsequently integrated to combine data-driven learning with physical constraints, using both observational data and physics-based synthetic datasets. …”
Get full text

A Comprehensive Data Description for LoRaWAN Path Loss Measurements in an Indoor Office Setting: Effects of Environmental Factors by Nahshon Obiri, Kristof van Laerhoven

Get full text

MS2Lipid: A Lipid Subclass Prediction Program Using Machine Learning and Curated Tandem Mass Spectral Data by Nami Sakamoto, Takaki Oka, Yuki Matsuzawa, Kozo Nishida, Jayashankar Jayaprakash, Aya Hori, Makoto Arita, Hiroshi Tsugawa

“…<b>Conclusions</b>: MS2Lipid is a highly accurate machine learning model that enhances lipid subclass annotation from MS/MS data and provides an independent criterion.…”
Get full text

Comparative analysis of single-view and multiple-view data collection strategies for detecting partially-occluded grape bunches: Field trials by Mar Ariza-Sentís, Hilmy Baja, Sergio Vélez, Rick van Essen, João Valente

“…While most research concentrates on data processing algorithms, this study focused on the preceding step: collecting reliable data. …”
Get full text

Local Climate Zones and urban morphology dataset to support numerical modelling in Greece, utilizing GIS, multispectral, and SAR dataZenodo by Ilias Agathangelidis, Christos Giannaros, Constantinos Cartalis, Vassiliki Kotroni, Kostas Lagouvardos

“…Overall, this dataset enables accurate description and modelling of urban environments and can be used across various applications, marking a significant step towards creating an open-access national urban dataset for Greece.…”
Get full text

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 GPM was classified into five zones of varying groundwater potential, with very low and low potential occupying 74 % of the total area. Validation with well data yielded an impressive 79 % accuracy, showcasing the model's enhanced precision. …”
Get full text

PubMed captures more fine-grained bibliographic data on scientific commentary than Web of Science: a comparative analysis by Kai Zhang, Shuang Wang, Jian Du

“…Background Research commentaries have the potential for evidence appraisal in emphasising, correcting, shaping and disseminating scientific knowledge.Objectives To identify the appropriate bibliographic source for capturing commentary information, this study compares comment data in PubMed and Web of Science (WoS) to assess their applicability in evidence appraisal.Methods Using COVID-19 as a case study, with over 27 k COVID-19 papers in PubMed as a baseline, we designed a comparative analysis for commented-commenting relations in two databases from the same dataset pool, making a fair and reliable comparison. …”
Get full text

Integrated brain tumor segmentation and MGMT promoter methylation status classification from multimodal MRI data using deep learning by Muhammad Sohaib Iqbal, Usama Ijaz Bajwa, Rehan Raza, Muhammad Waqas Anwar

“…While still at the research stage, it provides insights into tumor sub-regions and MGMT promoter status, highlighting the role of AI-driven methods in assessing molecular data. Future studies and clinical validation are needed to further explore its applicability in real-world clinical settings.…”
Get full text

Automatic Detection of Urban Trees from LiDAR Data Using DBSCAN and Mean Shift Clustering Methods in Fatih, Istanbul by Z. Cetin, N. Yastikli

“…Urban trees can be quickly and automatically determined using 3-dimensional (3D) LiDAR point cloud data. The objective of this study is to acquire trees in densely populated areas of large cities using raw LiDAR data. …”
Get full text

Soil moisture estimation underneath crop cover using high incidence angle C-band Sentinel-1 SAR data by Hari Shanker Srivastava, Thota Sivasankar, Madhuri Dilip Gavali, Parul Patel

Get full text

Determining Average Available Workdays for Roadway Construction Projects Using Long-Term Weather Data—A Case Study for Alabama by Esthefany Marien Mejia Reyes, Xing Fang, Michael A. Perez

“…Excel spreadsheet tools with Visual Basic for Applications (VBA) programs were developed to process the downloaded long-term weather data with two different formats. …”
Get full text