Enhanced Gold Ore Classification: A Comparative Analysis of Machine Learning Techniques with Textural and Chemical Data by Fabrizzio Rodrigues Costa, Cleyton de Carvalho Carneiro, Carina Ulsen

“…The integration of numerical and categorical variables, which are part of a dataset for defining ore grades, is part of the daily routine of professionals who obtain the data and manipulate the various phases of analysis in a mining project. …”
Get full text

Cell population data analysis for early diagnosis and prognosis of COVID-19: A Case-Control Study by Priyadarshini Kumaraswamy Rajeswaran, Preethi Muthusamy Sundar, Prasanna Nedungadi Kumar, Karthikeyan Shanmugam

“…The independent t-test was used to compare the mean values between the two groups. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the discriminating capacity of the individual parameters. …”
Get full text

Differential Diagnosis of Jejunum and Ileum Tumours Based on Video Capsule Endoscopy Data Using Mathematical Analysis by E. D. Fedorov, E. V. Ivanova, S. E. Rauzina, D. E. Seleznev, A. V. Budykina

Get full text

Analysis of Methylation Levels and Prognostic Correlations in Oral Squamous Cell Carcinoma Based on TCGA/GTEx Data by Chen Yuting, Sun Taotao

“…Methylation annotation was conducted using GENCODE 28V probes, and prognostic-related genes were identified through Cox regression analysis. Kaplan-Meier survival analysis, univariate and multivariate analyses, and receiver operating characteristic (ROC) curves were used to evaluate factors affecting prognosis. …”
Get full text

The relationship between dietary vitamin B1 and stroke: a machine learning analysis of NHANES data by Shihan Guo, Shihan Guo, Xu Jiao, Xu Jiao, Mingfei Li, Zhuo Li, Yun Lu

“…Additionally, the Least Absolute Shrinkage and Selection Operator (LASSO) was utilized for feature selection. …”
Get full text

Screening of the key genes and signaling pathways for schizophrenia using bioinformatics and next generation sequencing data analysis by Iranna Kotturshetti, Basavaraj Vastrad, Veena Kori, Chanabasayya Vastrad, Shivakumar Kotrashetti

“…The NGS data were downloaded from the Gene Expression Omnibus database. …”
Get full text

Analysis of transcriptomic data reveals the landscape of cholesterol metabolism in prostate cancer and impact of related signature on survival by Jian-Xuan Sun, Ye An, Meng-Yao Xu, Si-Yang Ma, Chen-Qian Liu, Jin-Zhou Xu, Qi-Dong Xia, Shao-Gang Wang

“…Methods Using the cholesterol metabolism related genes (CMRGs) downloaded from the MSigDB database, and gene expression data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO), we constructed a cholesterol risk index by the least absolute shrinkage and selection operator (LASSO) model, and correlated the risk index with prognosis, tumor mutation burden (TMB), tumor microenvironment (TME) infiltration and response to chemotherapy and immunotherapy. …”
Get full text

Multi-reader multi-case studies using the area under the receiver operator characteristic curve as a measure of diagnostic accuracy: systematic review with a focus on quality of da... by Thaworn Dendumrongsup, Andrew A Plumb, Steve Halligan, Thomas R Fanshawe, Douglas G Altman, Susan Mallett

“…<h4>Introduction</h4>We examined the design, analysis and reporting in multi-reader multi-case (MRMC) research studies using the area under the receiver-operating curve (ROC AUC) as a measure of diagnostic performance.…”
Get full text

Developing high-resolution data to assess spatiotemporal patterns of meteorological drought in India (1981–2021) by Arup Jana

“…Mann–Kendall and Sen’s slope methods were used to analyze drought trends. The analysis was conducted using Google Earth Engine, R, Python, Climate Data Operators, and ArcMap. …”
Get full text

Data-Driven Multi-Scale Channel-Aligned Transformer for Low-Carbon Autonomous Vessel Operations: Enhancing CO₂ Emission Prediction and Green Autonomous Shipping Efficien... by Jiahao Ni, Hongjun Tian, Kaijie Zhang, Yihong Xue, Yang Xiong

“…The accurate prediction of autonomous vessel CO₂ emissions is critical for achieving IMO 2050 carbon neutrality and optimizing low-carbon maritime operations. Traditional models face limitations in real-time multi-source data analysis and dynamic cross-variable dependency modeling, hindering data-driven decision-making for sustainable autonomous shipping. …”
Get full text

Oncological results of emergency operations for right-sided colorectal cancer by Yu. S. Vayner, K. V. Atamanov, S. G. Shtofin, G. S. Shtofin, I. V. Ishutov

Get full text

Structural Health Monitoring under Nonlinear Environmental or Operational Influences by Jyrki Kullaa

“…For the local linear components, minimum mean square error (MMSE) estimation is applied to eliminate the environmental or operational influences. Damage is detected from the residuals after applying principal component analysis (PCA). …”
Get full text

PERANCANGAN STANDART OPERATIONAL PROCEDURE PRODUKSI PADA PERUSAHAAN COFFEEIN by Chesley Tanujaya

Get full text

A Data Quality Pipeline for Industrial Environments: Architecture and Implementation by Teresa Peixoto, Óscar Oliveira, Eliana Costa e Silva, Bruno Oliveira, Fillipe Ribeiro

Get full text

Automated Exploratory Clustering to Democratize Clustering Analysis by Georg Stefan Schlake, Max Pernklau, Christian Beecks

Get full text

Use of End-to-End Tool for the Analysis of the Digital Governance of Ports by Nicoletta González-Cancelas, Alberto Camarero Orive, Alberto Rivas Vilarchao, Javier Vaca-Cabrero

“…This tool makes it possible to collect data from various sources, carry out a thorough analysis of the processes involved, and evaluate the satisfaction of end users. …”
Get full text

Data-Driven Analysis of Causes and Risk Assessment of Marine Container Losses: Development of a Predictive Model Using Machine Learning and Statistical Approaches by Myung-Su Yi, Byung-Keun Lee, Joo-Shin Park

“…This study presents a comprehensive, data-driven analysis of the causes and risks associated with container loss during maritime transport, utilizing incident data from 2011 to 2023. …”
Get full text

Development of a Simple Dipstick Assay for Operational Monitoring of DDT. by Hanafy M Ismail, Vijay Kumar, Rudra P Singh, Christopher Williams, Pushkar Shivam, Ayan Ghosh, Rinki Deb, Geraldine M Foster, Janet Hemingway, Michael Coleman, Marlize Coleman, Pradeep Das, Mark J I Paine

“…IQK analysis of the remaining field samples matched HPLC data in identifying households that had been under sprayed, in range or over sprayed.…”
Get full text

Soil moisture product consistency for operational drought monitoring in Europe by J. Gaona, D. Bavera, G. Fioravanti, S. Hahn, P. Stradiotti, P. Filippucci, S. Camici, L. Ciabatta, H. Mosaffa, S. Puca, N. Roberto, L. Brocca

“…<p>The roadmap to enable operational soil moisture (SM) monitoring for meteorologic and hydrological early warning depends on the capabilities of the available remote sensing and modelling products. …”
Get full text

Developing New Software for Functional Food Production by Elena Yu. Titorenko, Natalia B. Trofimova, Evgenia O. Ermolaeva, Ivan E. Trofimov, Leonid I. Breskin, Igor V. Surkov, Natalia V. Astakhova

“…This ready-made solution automates the process of accounting and hazard analysis. The program was tested at LLC Yug with the focus on the time that operators and managers needed to register the problem, analyze the data, develop corrective or preventive measures, and apply them. …”
Get full text