Data analysis-based framework for the design and assessment of chemical process plants: a case study in amine gas-treating systems by Rahul Gupta, Gladys Navas, Daniela Galatro

“…This work presents a process-integrity assessment framework to chemical process design that combines first principles, heuristics, vendor specifications, standards/codes, data analysis, and machine learning modelling, hypothesized as an efficient route for optimal process design. …”
Get full text

Data processing techniques to improve data integration from dairy farms by Jacquelyn P. Boerman, Luiz F. Brito, Maria E. Montes, Jacob M. Maskal, Jarrod Doucette, Kirby Kalbaugh

“…These comprehensive data curation steps systematically address complex variability with sources, including vendor-specific software modifications, intermittent data retrieval disruptions, and farm-level operational contingencies. …”
Get full text

Spatiotemporal analysis of carbon emissions in the Yangtze River Delta Urban Agglomeration: Insights from nighttime light data (1992–2019) by Jing Gao, Shenglong Zhao, Lucang Wang, Xiaoping Wang

“…Researchers used nighttime light data from the Defense Meteorological Satellite Program's Operational Linescan System (DMSP/OLS) and the National Polar-orbiting Partnership's Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) to assess the evolution of carbon emission patterns. …”
Get full text

Optimizing data-driven arctic marine forecasting: a comparative analysis of MariNet, FourCastNet, and PhyDNet by Aleksei V. Buinyi, Aleksei V. Buinyi, Dias A. Irishev, Edvard E. Nikulin, Aleksandr A. Evdokimov, Polina G. Ilyushina, Natalia A. Sukhikh, Natalia A. Sukhikh

“…Although physics-based numerical models are highly accurate, they come with significant computational requirements. Therefore, data-driven approaches, which are less computationally intensive, may present a more effective solution for predicting sea conditions.MethodsThis study introduces a detailed analysis and comparison of three data-driven models: the newly developed convLSTM-based MariNet, FourCastNet, and PhydNet, a physics-informed model designed for video prediction. …”
Get full text

Investigation of Tilt-Proprotor Loads Correlation Between Wind Tunnel Test Data and Comprehensive Modeling by Yin Ruan, Weite Wang, Wei Zhang

Get full text

Tank deformation analysis by combining laser scanning and photogrammetry by Ali Al-Saedi, Fanar Abed, Imzahim Alwan

“…Detailed comparison analyses are performed on cross-sections, and the results are analyzed to show potential found to comply within a few millimeters. After data integration and accuracy analysis, the RMSE was withdrawn to reach 3 cm. …”
Get full text

Work-related musculoskeletal disorders among surgeons: a bibliometric analysis from 1982 to 2024 by Philippe Gorce, Julien Jacquier-Bret

Get full text

Adaptive Polynomial Approximation-Based Data-Driven Model of Parameter Design for Bidirectional L-LLC Converter by Xin Zhou, Huan Luo, Buxiang Zhou

Get full text

Knowledge Generation of Wire Laser-Beam-Directed Energy Deposition Process Combining Process Data and Metrology Responses by Adriano Nicola Pilagatti, Eleonora Atzeni, Alessandro Salmi, Konstantinos Tzimanis, Nikolas Porevopoulos, Panagiotis Stavropoulos

Get full text

Analysis of Impact of Speed Range on Energy Consumption of Low-speed Maglev Train by JIAO Yanjun, HUANG Haokai, LIU Shaoke

Get full text

Security Data Aggregation with Recoverable Data in Heterogeneous Wireless Sensor Network by Lusheng Shi, Huibo Zhu, Lin Chen

“…The unique data recovery function of this algorithm can recover individual data together with getting the aggregated results, and can facilitate the follow-up operation, and enrich the aggregate type. …”
Get full text

Forecasting and Feature Analysis of Ship Fuel Consumption by Explainable Machine Learning Approaches by Pham Nguyen Dang Khoa, Dinh Gia Huy, Nguyen Canh Lam, Dang Hai Quoc, Pham Hoang Thai, Nguyen Quyen Tat, Tran Minh Cong

Get full text

Fault Diagnosis Expert System for Critical Systems and Components of “Shenhua” Electric Locomotive by GAO Yongqiang

Get full text

The Effect of Interest and Rent Income of the Foundations of Ottoman Istanbul Eyüp Region on Cash Capitals: Panel Data Analysis (1769-1773) by Baha Mücahid Şahin

“…In this study, the effects of interest and rental income on the cash capital of 12 waqfs in the Eyüp (Havass-ı Refia) district between 1769-1773 were analyzed with panel data. The data required for the analysis were obtained from the waqf accounting book no. 246 registered at the Havass-ı Refia Court. …”
Get full text

A MapReduce-Based Parallel Frequent Pattern Growth Algorithm for Spatiotemporal Association Analysis of Mobile Trajectory Big Data by Dawen Xia, Xiaonan Lu, Huaqing Li, Wendong Wang, Yantao Li, Zili Zhang

“…Frequent pattern mining is an effective approach for spatiotemporal association analysis of mobile trajectory big data in data-driven intelligent transportation systems. …”
Get full text

Off-label use of intravenous rifampicin during surgery: analysis of Australian surveillance data and retrospective audit at a tertiary hospital by Nadine T. Hillock, Edward Raby, Matthew Rawlins

Get full text

Edges are all you need: Potential of medical time series analysis on complete blood count data with graph neural networks. by Daniel Walke, Daniel Steinbach, Sebastian Gibb, Thorsten Kaiser, Gunter Saake, Paul C Ahrens, David Broneske, Robert Heyer

Get full text

Changing indications and socio-demographic determinants of (adeno)tonsillectomy among children in England--are they linked? A retrospective analysis of hospital data. by Elizabeth Koshy, Alex Bottle, Joanna Murray, Mike Sharland, Sonia Saxena

Get full text

Data Envelopment Analysis as a Tool for Identifying Reference Schools: A Study in the Context of High School in a Brazilian State by Denilson Junio Marques Soares, Wagner dos Santos

“…The study employs the output-oriented Variable Returns to Scale approach of Data Envelopment Analysis, along with the Malmquist Index, to assess changes in outcomes over two editions of the indicator. …”
Get full text

Multimodal CustOmics: A unified and interpretable multi-task deep learning framework for multimodal integrative data analysis in oncology. by Hakim Benkirane, Maria Vakalopoulou, David Planchard, Julien Adam, Ken Olaussen, Stefan Michiels, Paul-Henry Cournède

“…Each modality operates at distinct biological levels, introducing substantial correlations between and within data sources. …”
Get full text