The relationship between activities of daily living and speech impediments based on evidence from statistical and machine learning analyses by Liu Jun, Hongguo Li, Yu Mao, Lan Hu, Dan Wu

“…Hierarchical multiple linear regression confirmed the robustness of this negative correlation across three models (B = −0.001, β = −0.168, t = −16.16, 95% CI = −0.001 to −0.001, p = 0.000). …”
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A mobile localization method based on a robust extend Kalman filter and improved M-estimation in Internet of things by Nan Hu, Chuan Lin, Fangjun Luan, Chengdong Wu, Qi Song, Li Chen

“…Experiment results prove that the accuracy and robustness of the proposed algorithm are better than other methods in the mixed line-of-sight/non-line-of-sight environment. …”
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Development of a robust and efficient virus-induced gene silencing system for reverse genetics in recalcitrant Camellia drupifera capsules by Hongjian Shen, Huajie Chen, Weimeng Li, Shan He, Boyong Liao, Wanyu Xiong, Yang Shen, Yongjuan Li, Yanru Gao, Yong Quan Li, Bipei Zhang

“…Therefore, there is an urgent need for an efficient, robust, and cost-effective VIGS system for recalcitrant tissues. …”
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Monitoring of greenhouse gas emission drivers in Atlantic Canadian Potato production: A robust explainable intelligent glass-box by Mehdi Jamei, Muhammad Hassan, Aitazaz A. Faroouqe, Mumtaz Ali, Masoud Karbasi, Gurjit S. Randhawa, Zaher Mundher Yaseen, Ross Dwyer

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Robust decentralized event-triggered control for leader-follower vehicles with mitigating delays and security threats combining sensor and actuator attacks by Muflih Alhazmi, Easha Ramay, Waqar Ul Hassan, Mashaer Alsaeedi, Azmat Ullah Khan Niazi, Ishwa Shoukat, Nafisa A. AlBasheir

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Särndal Approach and Separate Type Quantile Robust Regression Type Mean Estimators for Nonsensitive and Sensitive Variables in Stratified Random Sampling by Usman Shahzad, Ishfaq Ahmad, Nadia H. Al-Noor, Soofia Iftikhar, A. H. Abd Ellah, Troon J. Benedict

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Machine Learning-Based Classification and Statistical Analysis of Liver Cancer: A Comprehensive Study of Model Performance and Clinical Significance by Pratyush Kumar MAHARANA, Tapan Kumar BEHERA, Pradeep Kumar NAIK

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Stock Market Temporal Complex Networks Construction, Robustness Analysis, and Systematic Risk Identification: A Case of CSI 300 Index by Xiaole Wan, Zhen Zhang, Chi Zhang, Qingchun Meng

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A New Robust Adaptive Fading Unscented Kalman Filter-Based Vector Tracking Loop for Mitigating GNSS NLOS Reception by Mengxia He, Shing-Chow Chan, Bo Chai, Zhong Liu

“…It integrates the AF-KF approach previously proposed for adaptive Bayesian KF to the UKF-based navigation filter to update the scale of the state and measurement noise covariances so that system noise and measurement uncertainties can be mitigated. A robust extension of the AF-UKF algorithm based on robust statistics is proposed to effectively detect and correct NLOS reception in each KF update. …”
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gfpop: An R Package for Univariate Graph-Constrained Change-Point Detection by Vincent Runge, Toby Dylan Hocking, Gaetano Romano, Fatemeh Afghah, Paul Fearnhead, Guillem Rigaill

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Methodological Tutorial Series for Epidemiological Studies: Confounder Selection and Sensitivity Analyses to Unmeasured Confounding From Epidemiological and Statistical Perspective... by Kosuke Inoue, Kentaro Sakamaki, Sho Komukai, Yuri Ito, Atsushi Goto, Tomohiro Shinozaki

“…Lastly, as it is often difficult to comprehensively measure key confounders, we introduce two statistics, E-value and robustness value, for assessing sensitivity to unmeasured confounders. …”
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Integration of multi-temporal SAR data and robust machine learning models for improvement of flood susceptibility assessment in the southwest coast of India by Pankaj Prasad, Sourav Mandal, Sahil Sandeep Naik, Victor Joseph Loveson, Simanku Borah, Priyankar Chandra, Karthik Sudheer

“…The performance of the models has been evaluated using several statistical criteria, including area under curve (AUC), overall accuracy, specificity, sensitivity and kappa index. …”
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Enhancing image security via chaotic maps, Fibonacci, Tribonacci transformations, and DWT diffusion: a robust data encryption approach by Mohammad Mazyad Hazzazi, Mujeeb Ur Rehman, Arslan Shafique, Amer Aljaedi, Zaid Bassfar, Aminu Bello Usman

“…Abstract In recent years, numerous image encryption schemes have been developed that demonstrate different levels of effectiveness in terms of robust security and real-time applications. While a few of them outperform in terms of robust security, others perform well for real-time applications where less processing time is required. …”
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Integrating Multimodal Deep Learning with Multipoint Statistics for 3D Crustal Modeling: A Case Study of the South China Sea by Hengguang Liu, Shaohong Xia, Chaoyan Fan, Changrong Zhang

“…This work highlights the potential of combining deep learning with geostatistical methods for geological modeling, providing a robust framework for future applications in geosciences. …”
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Same or Different? Comparing the Coverage Rate of Five Different Approaches for Testing the Difference of Two Groups Means by Bittmann, Felix

“…testing for statistically significant differences between two group means is one of the most common requirements in psychological research, for example, after an experiment has been conducted. …”
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Presenting a robust optimization model for the design of the green loop supply chain network in the power plant by taking into account the disruption in the supply chain by Javad Mohammadghasemi, Seyyed Esmaeil Najafi, Mohammad Fallah, Mohammad Reza Nabatchian

“…The sustainability objectives of the model include maximizing the profit of the supply chain network, minimizing greenhouse gas emissions, and maximizing reliability. A robust optimization method is also considered to control uncertain parameters, and precise and innovative techniques are used to solve the model.Findings: The results of the model show that with an increase in network reliability, the current net value in the network decreases, and greenhouse gas emissions in the network increase. …”
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Strengthening Cause of Death Statistics in Selected Districts of 3 States in India: Protocol for an Uncontrolled, Before-After, Mixed Method Study by Ashoo Grover, Saritha Nair, Saurabh Sharma, Shefali Gupta, Suyesh Shrivastava, Pushpendra Singh, Srikanta Kanungo, Senthanro Ovung, Charan Singh, Abdul Mabood Khan, Sandeep Sharma, Subrata Kumar Palo, Tapas Chakma, Anjali Bajaj

“…A robust surveillance system is essential for obtaining vital information such as cause of death (CoD) information. …”
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Robust Exponential Stabilization of Stochastic Delay Interval Recurrent Neural Networks with Distributed Parameters and Markovian Jumping by Using Periodically Intermittent Control by Junhao Hu, Yunjian Peng, Yan Li

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New Robust Principal Component Analysis for Joint Image Alignment and Recovery via Affine Transformations, Frobenius and L2,1 Norms by Habte Tadesse Likassa

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Exploring the host response in infected lung organoids using NanoString technology: A statistical analysis of gene expression data. by Mostafa Rezapour, Stephen J Walker, David A Ornelles, Muhammad Khalid Khan Niazi, Patrick M McNutt, Anthony Atala, Metin Nafi Gurcan

“…This innovative approach uniquely combines biological significance, as indicated by fold changes in gene expression, with statistical rigor, as represented by adjusted p-values. …”
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