A plithogenic statistical approach to digital security measures and emotional health in childhood and adolescence by Carlos Hurtado, Marco Villa, Lady Raquel Caicedo Sandoval, Isea Josia

“…Analysis of expert evaluations revealed that robust digital protections enhance emotional stability by reducing cyberbullying risks and fostering a supportive online environment, leading to higher self-esteem and healthier interpersonal relationships. …”
Get full text

Data Mining, Machine Learning, and Statistical Modeling for Predictive Analytics with Behavioral Big Data by M. Arunkumar, K. Rajkumar, W. R. Salem Jeyaseelan, N. A. Natraj

“…Anticipated outcomes encompass insights into the development of robust predictive models capable of anticipating trends, consumer behavior, and market dynamics. …”
Get full text

Farmers’ knowledge improves identification of drought impacts: A nationwide statistical analysis in Zambia by Max Mauerman, Henny Osbahr, Emily Black, Daniel Osgood, Grieve Chelwa, Bernadette Mushinge

“…This paper develops a novel methodology to address this need through incorporating farmer knowledge into robust drought impact assessments.Using a new dataset of 925 farmer focus groups in Zambia, we investigate whether farmers’ recollection can identify consequential drought events more consistently than crop yields, which are conventionally used for this purpose. …”
Get full text

An Alternative Statistical Model to Analysis Pearl Millet (Bajra) Yield in Province Punjab and Pakistan by Muhammad Zeshan Arshad, Muhammad Zafar Iqbal, Festus Were, Ramy Aldallal, Fathy H. Riad, M. E. Bakr, Yusra A. Tashkandy, Eslam Hussam, Ahmed M. Gemeay

Get full text

Statistical analysis supports pervasive RNA subcellular localization and alternative 3' UTR regulation by Rob Bierman, Jui M Dave, Daniel M Greif, Julia Salzman

“…In order to do this, robust statistical measures of subcellular localization and alternative poly-adenylation (APA) at single-cell resolution are needed. …”
Get full text

Enhanced federated anomaly detection through autoencoders using summary statistics-based thresholding by Sofiane Laridi, Gregory Palmer, Kam-Ming Mark Tam

“…This study proposes a federated threshold calculation method that aggregates summary statistics from normal and anomalous data across clients to create a global threshold for Anomaly Detection with federated Autoencoders, enhancing detection accuracy and robustness while ensuring privacy. …”
Get full text

Coalmine image matching by fusing multi-level feature enhancement and weighted grid statistics by Heping LI, Shaoqiu HONG, Jian CHENG, Ning AN, Hailong ZHAO, Haixin XIU

“…The experimental results show that the proposed feature extraction and matching method has higher accuracy and robustness. Specifically, compared with the ORB, SIFT, ASLFeat and Superpoint algorithms, the proposed feature extraction method achieved average accuracy improvements of 33.07%, 69.78%, 17.65% and 33.52% respectively. …”
Get full text

Robust Optimality and Duality for Nonsmooth Multiobjective Programming Problems with Vanishing Constraints Under Data Uncertainty by Balendu Bhooshan Upadhyay, Shubham Kumar Singh, I. M. Stancu-Minasian, Andreea Mădălina Rusu-Stancu

Get full text

A Robust Two-Machine Flow-Shop Scheduling Model with Scenario-Dependent Processing Times by Chia-Lun Hsu, Win-Chin Lin, Lini Duan, Jan-Ray Liao, Chin-Chia Wu, Juin-Han Chen

Get full text

Feasible robust Liu estimator to combat outliers and multicollinearity effects in restricted semiparametric regression mode by W. B. Altukhaes, M. Roozbeh, N. A. Mohamed

Get full text

Robust H-Infinity Filter and PSO-SVM Based Monitoring of Power Quality Disturbances System by Prakash K. Ray, Harish Kumar Sahoo, Asit Mohanty, Javed Khan Bhutto, Abdulwasa Bakr Barnawi, Abdulmjeed Ali Alshaya

“…Twelve different types of PQ disturbances under various operating scenarios are considered for the detection and classification study. Twelve different statistical features are extracted by passing the disturbances through robust H-infinity filter in order to minimize the data size and computational complexities. …”
Get full text

Robust and Unbiased Variance of GLM Coefficients for Misspecified Autocorrelation and Hemodynamic Response Models in fMRI by Lourens Waldorp

“…Using this result, it is possible to obtain an exact statistic which keeps the 5% false positive rate. Extensive Monte Carlo simulations show that the sandwich is robust against misspeci cation of the autocorrelations and of the hemodynamic response model. …”
Get full text

Robust Model-Based Reliability Approach to Tackle Shilling Attacks in Collaborative Filtering Recommender Systems by Santiago Alonso, Jesus Bobadilla, Fernando Ortega, Ricardo Moya

“…This paper proposes an innovative robust method, based on matrix factorization, to neutralize the shilling attacks. …”
Get full text

Lung Segmentation in 4D CT Volumes Based on Robust Active Shape Model Matching by Gurman Gill, Reinhard R. Beichel

“…Our approach is based on a 3D robust active shape model and extends it to fully utilize 4D lung image data sets. …”
Get full text

Efficient multiplayer battle game optimizer for numerical optimization and adversarial robust neural architecture search by Rui Zhong, Yuefeng Xu, Chao Zhang, Jun Yu

“…Furthermore, we apply the proposed EMBGO to the complex adversarial robust neural architecture search (ARNAS) tasks and explore its robustness and scalability. …”
Get full text

Robust Malware identification via deep temporal convolutional network with symmetric cross entropy learning by Jiankun Sun, Xiong Luo, Weiping Wang, Yang Gao, Wenbing Zhao

“…In this study, motivated by the symmetric cross entropy with satisfactory noise robustness, the authors propose a robust Malware identification method using temporal convolutional network (TCN). …”
Get full text

Developing a Robust Model Based on the Gaussian Process Regression Approach to Predict Biodiesel Properties by Inna Pustokhina, Amir Seraj, Hafsan Hafsan, Seyed Mojtaba Mostafavi, S. M. Alizadeh

Get full text

Deep Learning-Based Robust Automated System for Predicting Human Sperm DNA Fragmentation Index by Roopini Sathiasai Kumar, Swapnil Sharma, Arunima Halder, Vipin Gupta

“…Aims: The aim of this study is to build a robust artificial intelligence-based solution to predict the DFI. …”
Get full text

Integrating Statistical Methods and Machine Learning Techniques to Analyze and Classify COVID-19 Symptom Severity by Yaqeen Raddad, Ahmad Hasasneh, Obada Abdallah, Camil Rishmawi, Nouar Qutob

“…Feature importance was analyzed using the random forest model for its robustness with high-dimensional data and ability to capture complex non-linear relationships, and statistical significance was evaluated through ANOVA and Chi-square tests. …”
Get full text

Modeling the Relationship between Rice Yield and Climate Variables Using Statistical and Machine Learning Techniques by Lasini Wickramasinghe, Rukmal Weliwatta, Piyal Ekanayake, Jeevani Jayasinghe

“…This paper presents the application of a multiple number of statistical methods and machine learning techniques to model the relationship between rice yield and climate variables of a major region in Sri Lanka, which contributes significantly to the country’s paddy harvest. …”
Get full text