147 citations
- Auburn UniversityUS3 papers
- Kennesaw State UniversityUS3 papers
- University of AveiroPT3 papers
- University of CalabriaIT3 papers
- Laboratoire Lorrain de Recherche en Informatique et ses ApplicationsFR2 papers
- Los Alamos National LaboratoryUS2 papers
- Central China Normal UniversityCN1 paper
- East Carolina UniversityUS1 paper
- EP Analytics (United States)US1 paper
- Florida International UniversityUS1 paper
- Harbin University of Science and TechnologyCN1 paper
- San Jose State UniversityUS1 paper
14 papers
Decreasing Digital Distraction in College Students: Associated Online Learning Strategies Identified by Unsupervised Data Mining Approaches
Hui Shi, Ran Bi, Xi Lin +1
The proliferation of digital tools in education offers numerous benefits but also introduces significant challenges, notably digital distractions that hinder academic performance,…
Machine learning method to determine concentrations of structural defects in irradiated materials
Landon Johnson, Walter Malone, Jason Rizk +4
The formation and subsequent growth of structural defects in an irradiated material can strongly influence the material's performance in technological and industrial applications.…
Comparing growth of titania and carbonaceous dusty nanoparticles in weakly magnetised capacitively coupled plasmas
Bhavesh Ramkorun, Gautam Chandrasekhar, Vijaya Rangari +3
This study compares the growth cycles and spatial distribution of dust cloud for titania and carbonaceous dusty nanoparticles in capacitively coupled radiofrequency plasmas, with a…
Data-driven methods for diffusivity prediction in nuclear fuels
Galen T. Craven, Renai Chen, Michael W. D. Cooper +6
The growth rate of structural defects in nuclear fuels under irradiation is intrinsically related to the diffusion rates of the defects in the fuel lattice. The generation and grow…
Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms
Mst Shapna Akter, Md Jobair Hossain Faruk, Nafisa Anjum +5
The software supply chain (SSC) attack has become one of the crucial issues that are being increased rapidly with the advancement of the software development domain. In general, SS…
Bayesian Hyperparameter Optimization for Deep Neural Network-Based Network Intrusion Detection
Mohammad Masum, Hossain Shahriar, Hisham Haddad +6
Traditional network intrusion detection approaches encounter feasibility and sustainability issues to combat modern, sophisticated, and unpredictable security attacks. Deep neural…