MUTFER2024: A new dataset for South African emotion recognitionMendeley DataGithub repository by Rogerant Tshibangu, Jules R Tapamo

“…Facial Emotion Recognition (FER) plays a critical role in applications such as human-computer interaction, security, and healthcare. …”
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Super-Resolution for Renewable Energy Resource Data with Wind from Reanalysis Data and Application to Ukraine by Brandon N. Benton, Grant Buster, Pavlo Pinchuk, Andrew Glaws, Ryan N. King, Galen Maclaurin, Ilya Chernyakhovskiy

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A data flow process for confidential data and its application in a health research project. by Samantha S R Crossfield, Kieran Zucker, Paul Baxter, Penny Wright, Jon Fistein, Alex F Markham, Mark Birkin, Adam W Glaser, Geoff Hall

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Evaluation of Multiple Imputation in Missing Data Analysis: An Application on Repeated Measurement Data in Animal Science by Gazel Ser, Cafer Tayyar Bati

“…The purpose of this study was to evaluate the performance of multiple imputation method in case that missing observation structure is at random and completely at random from the approach of general linear mixed model. The application data of study was consisted of a total 77 heads of Norduz ram lambs at 7 months of age. …”
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Bayesian Analysis of Doubly Inflated Poisson Regression for Correlated Count Data: Application to DMFT Data by Bahare Gholami Chaboki, Alireza Akbarzadeh Baghban, Taban Baghfalaki, Mohammad Hossein Khoshnevisan, Maryam Heydarpour Meymeh

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Factorial Numbers and Their Practical Applications by Oleksiy Borysenko, Oleksii Horiachev, Svitlana Matsenko, Anatolii Novhorodtsev, Olga Berezhna, Vjaceslavs Bobrovs, Toms Salgals, Jurgis Porins

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SOFTWARE IMPLEMENTATION OF NOISY DATA PROCESSING ALGORITHMS by S. K. Atanov, Z. A. Mukanova

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SOFTWARE IMPLEMENTATION OF THE ALGORITHM FOR PROCESSING OF NOISED DATA by S. K. Atanov, Z. A. Mukanova

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A Review of Approaches for Rapid Data Clustering: Challenges, Opportunities, and Future Directions by Mahnoor, Imran Shafi, Mahnoor Chaudhry, Elizabeth Caro Montero, Eduardo Silva Alvarado, Isabel de la Torre Diez, Md Abdus Samad, Imran Ashraf

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A LithoScanner logging data processing method and application applicable to shale oil formation by Xuan Hu, Zhen Lin Wang, Jing Su, Wang Wang Yang, Xiao Xuan Chen, Peng Liu, Lei Zhao

“…There are four main problems in LithoScanner Logging data processing: 1. Core data used to calibrate the dry weight of LithoScanner Logging elements are difficult to locate; 2. …”
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Multi-core helper thread prefetching for irregular data intensive applications by Jian-xun ZHANG, Zhi-min GU, Xiao-han HU, Min CAI

Subjects: “…helper thread prefetching;irregular data intensive applications;betweenness centrality…”
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Improving the Integrity of a Voting Process with Biometric Authentication and Data Encryption by Walter M. Molina, Lino R. Mac Kay, Daniel Subauste

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Implicit bias in ICU electronic health record data: measurement frequencies and missing data rates of clinical variables by Junming Shi, Alan E. Hubbard, Nicholas Fong, Romain Pirracchio

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Joint modelling of longitudinal data: a scoping review of methodology and applications for non-time to event data by Rehema K. Ouko, Mavuto Mukaka, Eric O. Ohuma

“…An exponential increase in the application of joint modelling of non-time-to-event longitudinal data has been observed in the last decade. …”
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Okra disease dataset for classification and segmentation: Dataset collection, analysis and applicationsMendeley DataMendeley Data by K. Sowmiya, M. Thenmozhi

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Big data transfer service architecture for cloud data centers: problems, methods, applications, and future trends by Muhammad Umar Majigi, Ismaila Idris, Shafi’i Muhammad Abdulhamid, Richard A. Ikuesan

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Applications of Entropy in Data Analysis and Machine Learning: A Review by Salomé A. Sepúlveda-Fontaine, José M. Amigó

“…In particular, the subject of this review is their applications in data analysis and machine learning. The reason for these particular applications is that entropies are very well suited to characterize probability mass distributions, typically generated by finite-state processes or symbolized signals. …”
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Sensor data cleaning for applications in dairy herd management and breeding by Katharina Schodl, Anna Stygar, Franz Steininger, Christa Egger-Danner

“…This article presents guidelines for sensor data cleaning with a specific focus on dairy herd management and breeding applications. …”
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A new proportional hazard model with applications to breastfeeding data by Yolanda M. Gómez, Wilson E. Caimanque, John L. Santibáñez, Rocío Zúñiga-Tapia, Diego I. Gallardo, Marcelo Bourguignon

“…Additionally, a regression model for censored data is presented. The parameters of the proposed distribution are estimated using the maximum likelihood approach. …”
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The Neutrosophic Lognormal Model in Lifetime Data Analysis: Properties and Applications by Sultan Salem, Zahid Khan, Hamdi Ayed, Ameni Brahmia, Adnan Amin

“…The suggested distribution is especially effective for modeling data that are roughly symmetric or skewed to the right. …”
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