Temporal variation in discriminating Acacia species using optical and radar data by King Matsokane, Solomon G. Tesfamichael

“…The inability of radar to differentiate the Acacia species was attributed to the lack of distinctive structural variation between the two species. The findings of this study show the importance of data acquisition time in the classification effort while more research is needed to exploit radar data.…”
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Curing simulation and data-driven curing curve prediction of thermoset composites by Chenchen Wu, Ruming Zhang, Pengyuan Zhao, Liang Li, Dingguo Zhang

“…This paper focuses on developing a data-driven approach for predicting the degree-of-cure curve. …”
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Detecting label noise in longitudinal Alzheimer’s data with explainable artificial intelligence by Paolo Sorino, Angela Lombardi, Domenico Lofù, Tommaso Colafiglio, Antonio Ferrara, Fedelucio Narducci, Eugenio Di Sciascio, Tommaso Di Noia

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Harnessing dynamic capabilities for data-driven business model innovation in incumbents by Shailesh Tripathi, Nadine Bachmann, Manuel Brunner, Herbert Jodlbauer

“…Data-driven business model innovation (DDBMI) leverages digital technologies to seize opportunities and address challenges, yet incumbents often struggle due to their reliance on existing capabilities. …”
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“No data, no problem”? Potential inequities in psychosis among immigrants in the United States by Supriya Misra, Isha Weerasinghe, Lawrence H. Yang, Bizu Gelaye, Margarita Alegría

“…Global research indicates inequities in the incidence, severity, and care of psychosis among immigrants, primarily due to structural and social adversities relative to non-immigrants. …”
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Pose estimation for health data analysis: advancing AI in neuroscience and psychology by Juan Yu, Daoyu Zhu

“…Traditional methods often struggle with the dynamic and multi-modal nature of health data, which includes electronic health records, wearable sensor data, and imaging modalities. …”
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Smart Data-Enabled Conservation and Knowledge Generation for Architectural Heritage System by Ziyuan Rao, Guoguang Wang

“…Validated through dual case studies—the Historical Educational Sites in South China (humanistic narratives) and the Dong ethnic drum towers (structural logic)—the framework demonstrates its capacity to automate knowledge generation, converting 20.5 GB of multi-source data into 2652 RDF triples that interconnect 1701 nodes across HBIM models and archival records. …”
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Predicting cancer risk using machine learning on lifestyle and genetic data by Mohamed Abdelmoaty Ahmed, Ahmed AbdelMoety, Asmaa Mohamed Ahmed Soliman

“…A full end-to-end ML pipeline was implemented, encompassing data exploration, preprocessing, feature scaling, model training, and evaluation using stratified cross-validation and a separate test set. …”
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Evaluation of Data Extracted from Floor Plans for Apartment Complex Remodeling by Dongik Shin, Hyeongmin Ryu, Jeeyeop Kim, Jinyoung Kim

“…The proposed method can continuously accumulate data from domestic apartment house remodeling projects and accelerate the process by shortening the time required for final decision-making in future remodeling projects.…”
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Federated data health networks hold potential for accelerating emergency research by Prashant Mahajan, Charles Macias, Amie Barda, Christopher M. Fung

“…A FDHN in emergency care is comprised of a series of decentralized, interconnected emergency departments (EDs) where each site's data is structured according to a common data model that allows data to be queried and/or analyzed without the data leaving the site's institutional firewall. …”
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The Role of Digitalization in Data-Driven Decision Making in Supply Chain Management by I. G. Kamenev, D. A. Porohovnik

“…The authors demonstrate how the transition of digital platforms to working with Big Data sources is transforming their role in the management process. …”
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Sensor-Based Monitoring Data from an Industrial System of Centrifugal Pumps by Angelo Martone, Alessia D’Ambrosio, Michele Ferrucci, Assuntina Cembalo, Gianpaolo Romano, Gaetano Zazzaro

“…We present a detailed dataset collected via a wireless IoT sensor network monitoring three industrial centrifugal pumps (units A, B, and C) at the Italian Aerospace Research Centre (CIRA), along with the methods for data collection and structuring. <b>Background</b>: Centrifugal pumps are critical in industrial plants, and monitoring their condition is essential to ensure reliability, safety, and efficiency. …”
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Utility of automated data transfer for cancer clinical trials and considerations for implementation by M. Pfeffer, M. Deneris, A. Shelley, P. Salcuni, I. Altomare

“…Software that facilitates automated transfer of mapped structured data from the electronic health record (EHR) to EDC can help to address these challenges. …”
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Automated identification of soil functional components based on NanoSIMS data by Yahan Hu, Johann Maximilian Zollner, Carmen Höschen, Martin Werner, Steffen A. Schweizer

“…NanoSIMS technique allows to investigate the micro-spatial organization in complex structures in multiple scientific fields such as material science, cosmochemistry, and biogeochemistry. …”
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Determinants of Financial Sustainability in Microfinance Institutions: A Panel Data Study by Gyan Mani Adhikari, Amrita Sapkota, Devendra Parajuli, Ganesh Bhattarai

“…The research employed the two-step system General Method of Moments estimator to analyze the financial sustainability of twenty-five sampled microfinance institutions, out of fifty-seven D-class financial institutions categorized as microfinance institutions and regulated by Nepal Rastra Bank, using cross-sectional data obtained from their comprehensive financial statements spanning from 2016 to 2023. …”
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No-Reference Error Detection in Color Difference Datasets: Application to Munsell Data by Valerii Timofeev, Galim Usaev, Mikhail Seliugin, Dmitry Bocharov, Anastasia Sarycheva, Ivan Konovalenko, Olga Basova, Mikhail Tchobanou, Valentina Bozhkova, Dmitry Nikolaev

“…The corrections and methods introduced here support the ongoing refinement of psychophysical color difference datasets, with all results and data made available in a machine-readable format.…”
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Data-Driven Approaches for Predicting and Forecasting Air Quality in Urban Areas by Cosmina-Mihaela Rosca, Madalina Carbureanu, Adrian Stancu

“…The study integrates pollutant factors (CO, NO₂, SO₂, PM_2.5), meteorological parameters (temperature, humidity, wind speed), and traffic data to determine air quality. For this purpose, 19 predictive models were developed and compared: 12 machine learning algorithms, 7 deep learning, and 1 forecasting model based on structural component analysis. …”
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COMPETENCY MODEL FOR PEOPLE ANALYTICS: BRIDGING DATA SCIENCE AND HRM PRACTICES by MD. TARIQUE JAWAID, SAIDALAVI K, RAMONA BIRAU, VIRGIL POPESCU, BHARAT KUMAR MEHER

“…We analyzed the 100 Job advertisements collected from Indian job portals and 20 in-depth semi-structured interviews with data scientists working in people analytics. …”
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Learning a prior on regulatory potential from eQTL data. by Su-In Lee, Aimée M Dudley, David Drubin, Pamela A Silver, Nevan J Krogan, Dana Pe'er, Daphne Koller

“…Genome-wide RNA expression data provide a detailed view of an organism's biological state; hence, a dataset measuring expression variation between genetically diverse individuals (eQTL data) may provide important insights into the genetics of complex traits. …”
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A Cognition Knowledge Representation Model Based on Multidimensional Heterogeneous Data by Dong Zhong, Yi-An Zhu, Lanqing Wang, Junhua Duan, Jiaxuan He

“…Aiming at the problem that the data sources of the knowledge base for constructing the cognitive knowledge graph are wide and heterogeneous, and there are entity semantic differences and knowledge system differences among different data sources, a multimodal entity semantic fusion model based on vector features and a system fusion framework based on HowNet are designed, and the environment description information such as object semantics, attributes, relations, spatial location, and context acquired by industrial robots and their own state information are unified and standardized. …”
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