A new adaptive approach for bridging the gap in insurance premium estimation by Osama Attayyib, Han Ding, Walaa Gamaleldin, Shaban Osman, Ruixing Ming

Get full text

INFLUENCE OF STOCHASTIC CHARACTERISTICS OF PROPERTIES FOR MATERIALS, PRODUCTS AND PROCESSES ON EVALUATION OF REGULATORY PARAMETERS by S. N. Osipov

“…An effort has been made to apply a robust methodology, which does not depend on the form of a distribution law, for determination of minimum number of the required measurements. …”
Get full text

A designed predictive modelling strategy based on data decomposition and machine learning to forecast solar radiation by Mumtaz Ali, Ramendra Prasad, Salman Alamery, Aitazaz Ahsan Farooque

“…Subsequently, the statistically significant lagged subseries at a week ahead forecasting horizon (t – 1) of the low-frequency PFs with residual components are extracted individually, via partial autocorrelation function (PACF), to capture the historical behaviour of frequency-resolved SR component in order to build a robust modelling framework. …”
Get full text

Dual gene set enrichment analysis (dualGSEA); an R function that enables more robust biological discovery and pre-clinical model alignment from transcriptomics data by Courtney Bull, Ryan M. Byrne, Natalie C. Fisher, Shania M. Corry, Raheleh Amirkhah, Jessica Edwards, Lily V. S. Hillson, Mark Lawler, Aideen E. Ryan, Felicity Lamrock, Philip D. Dunne, Sudhir B. Malla

“…This new tool removes the possibility of users inadvertently interpreting statistical findings as equating to biological distinction between samples within groups-of-interest. dualGSEA provides a more robust basis for discovery research, one which allows user to compare both statistical significance alongside biological distinctions in their data.…”
Get full text

Protocol and Statistical Analysis Plan for a Comparative Interrupted Time Series Evaluation of the Impact of Deemed Consent for Organ Donation Legislative Reform in Nova Scotia, Ca... by Matthew J. Weiss, MD, Kristina Krmpotic, MD, Stephen Beed, MD, Sonny Dhanani, MD, Jade Dirk, BSc, David Hartell, MA, Cynthia Isenor, RN, MScN, Nick Lahaie, Scott T. Leatherdale, PhD, Kara Matheson, MSc, Karthik Tennankore, MD, SM, Gail Tomblin-Murphy, PhD, BN, MN, Amanda Vinson, MD, Hans Vorster, BASc, Caroline King, PhD

Get full text

How to Run Linear Mixed Effects Analysis for Pairwise Comparisons? A Tutorial and a Proposal for the Calculation of Standardized Effect Sizes by Marc Brysbaert, Dries Debeer

Get full text

Machine learning assisted prediction with data driven robust optimization: Machining process modeling of hard part turning of DC53 for tooling applications supporting semiconductor... by Mehdi Tlija, Muhammad Sana, Anamta Khan, Sana Hassan, Muhammad Umar Farooq

Get full text

Optimizing Rotary Cement Kiln modelling: A comparative analysis of metaheuristics in a real-world application by Miguel Ángel Castán-Lascorz, Antonio Alcaide-Moreno, Jorge Arroyo

“…The algorithm design and selection process adhere to recommendations from literature review articles, employing robust statistical techniques, including Bayesian analysis and Monte Carlo sampling to support the replicability of analysis. …”
Get full text

A Bayesian analysis integrating expert beliefs to better understand how new evidence ought to update what we believe: a use case of chiropractic care and acute lumbar disc herniati... by Léonie Hofstetter, Michelle Fontana, George A. Tomlinson, Cesar A. Hincapié

Get full text

Digital technologies and performance incentives: evidence from businesses in the Swiss economy by Johannes Lehmann, Michael Beckmann

Get full text

Identifying the potential construction areas and priorities of well-facilitated farmlands by developing a simple but robust method: A case study in dryland agriculture regions base... by Zhengjia Liu, Yihang Huang, Yongsheng Wang, Zhaosheng Wang

“…This study thus introduced a simple but robust method, and took the typical dryland Yulin city to spatially identify its potential WFF construction areas and temporally determine construction priorities based on public data. …”
Get full text

Geometrically synchronous watermarking algorithm based on the corner feature by LIU Quan1, ZHANG Le1, ZHANG Yong-gang2, Christian Bessiere3, FU Qi-ming1, WANG Xiao-yan1

“…Simple geometric attacks could destroy watermark or its position,causing the failure of most watermarking algorithm.A geometrically synchronous watermarking algorithm robust based on the corner feature was proposed.In this paper,the feature point was detected on the normalization of the image to resist geometric attack;the combination of Harris and MIC corner detected algorithm was utilized to extract steady corner based on analyzing the advantages and disadvantages of the two algorithm;the watermarking information was statistic embed in the shape of rings instead of changing the simply one pixel.Sufficient experiments demonstrate the robustness of this approach,especially in resisting geometry attack such as RST（rotation,scaling and translation）.…”
Get full text

Data-driven upper bounds and event attribution for unprecedented heatwaves by Mark D. Risser, Likun Zhang, Michael F. Wehner

“…Robust understanding of heatwave thresholds provides critical information about future record-breaking events and how their extremity relates to historical measurements.…”
Get full text

Mt or not Mt: Temporal variation in detection probability in spatial capture-recapture and occupancy models by Sollmann, Rahel

Get full text

Bearing Fault Diagnosis Method based on RLMD and Kmeans++ by Shaoting Yan, Yuguo Zhou, Yanbo Ren, Shiliang Liu, Shidang Yan

“…To improve the performance of bearing fault diagnosis， a bearing fault diagnosis method based on Robust Local Mean Decomposition （RLMD） and Kmeans++ is proposed. …”
Get full text

Exploring the influence of pre-analytical variables on gene expression measurements and relative expression orderings in cancer research by Tian Tian, Guie Lai, Ming He, Xiaofang Liu, Yun Luo, You Guo, Guini Hong, Hongdong Li, Kai Song, Hao Cai

“…Our research demonstrates that REOs exhibit higher robustness under the influence of pre-analytical variables. …”
Get full text

ExAIRFC-GSDC: An Advanced Machine Learning-Based Interpretable Framework for Accurate Gas Leakage Detection and Classification by B. Lalithadevi, S. Krishnaveni

“…ExAIRFC-GSDC is a robust and explainable solution for accurate gas detection and classification in complex environments.…”
Get full text

New Robust PCA for Outliers and Heavy Sparse Noises’ Detection via Affine Transformation, the L∗,w and L2,1 Norms, and Spatial Weight Matrix in High-Dimensional Images: From the Pe... by Peidong Liang, Habte Tadesse Likassa, Chentao Zhang, Jielong Guo

Get full text

Forecasting Precipitation Using a Markov Chain Model in the Coastal Region in Bangladesh by Al Mamun Pranto, Usama Ibn Aziz, Lipon Chandra Das, Sanjib Ghosh and Anisul Islam

“…The findings reveal that the observed values of the test statistic, χ², are significant for all coastal stations, indicating a reliable model fit. …”
Get full text

Strengthening pharmacy practice: Development and validation of the Resilience Scale by Jocić Dragana

“…The final scale was distributed to a sample of 504 community pharmacists, after which the scale was analyzed using statistical methods such as factor analysis, multiple regression, and reliability analysis. …”
Get full text