This podcast is brought to you by the School of Computing at Southern Adventist University. If you’re interested in exploring the world of computing, from software development to data science and beyond, visit southern.edu/computing.
© Center for Innovation and Research in Computing, Southern Adventist University
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Machine Learning Classification of Fossilized Pectinodon bakkeri Teeth Images: Insights into Troodontid Theropod Dinosaur MorphologyIn this episode, we explore a paper published by Jacob Bahn, Prof. Harvey Alférez, and Prof. Keith Snyder entitled Machine Learning Classification of Fossilized Pectinodon bakkeri Teeth Images: Insights into Troodontid Theropod Dinosaur Morphology. Bahn, J., Alférez, G.H., & Snyder, K. (2025). Machine learning classification of fossilized Pectinodon bakkeri teeth images: insights into troodontid theropod dinosaur morphology. Machine Learning and Knowledge Extraction, 7(2). https://doi.org/10.3390/make7020045 This podcast is brought to you by the School of Computing at Southern Adventist University. If you’re interested in exploring the world of computing, from software development to data science and beyond, visit southern.edu/computing. |
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Performance Comparison of Operations in the File System and in Embedded Key-Value DatabasesIn this episode, we explore a paper published by Jesse Hines, Nicholas Cunningham, and Prof. Harvey Alférez entitled Performance Comparison of Operations in the File System and in Embedded Key-Value Databases. Hines, J., Cunningham, N., Alférez, G.H. (2023). Performance Comparison of Operations in the File System and in Embedded Key-Value Databases. In: Arai, K. (eds) Intelligent Computing. SAI 2023. Lecture Notes in Networks and Systems, vol 739. Springer, Cham. https://doi.org/10.1007/978-3-031-37963-5_27 This podcast is brought to you by the School of Computing at Southern Adventist University. If you’re interested in exploring the world of computing, from software development to data science and beyond, visit southern.edu/computing. |
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Using AutoML to Analyze the Effect of Attendance and Seat Location on University Student GradesIn this episode, we explore a paper published by Ac Hýbl and Prof. Harvey Alférez entitled Using AutoML to Analyze the Effect of Attendance and Seat Location on University Student Grades. Hýbl, A., Alférez, G.H. (2024). Using AutoML to Analyze the Effect of Attendance and Seat Location on University Student Grades. In: Arai, K. (eds) Intelligent Systems and Applications. IntelliSys 2023. Lecture Notes in Networks and Systems, vol 822. Springer, Cham. https://doi.org/10.1007/978-3-031-47721-8_42 This podcast is brought to you by the School of Computing at Southern Adventist University. If you’re interested in exploring the world of computing, from software development to data science and beyond, visit southern.edu/computing. |
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Introducing Database Normal Forms to Students: A Comparison Between Theory-First and Practice-First Educational ApproachesIn this episode, we explore a paper published by Dakota Cookenmaster, Jacob Bahn, and Prof. Harvey Alférez entitled Introducing Database Normal Forms to Students: A Comparison Between Theory-First and Practice-First Educational Approaches. Cookenmaster, D.C., Bahn, J.A., Alférez, G.H. (2023). Introducing Database Normal Forms to Students: A Comparison Between Theory-First and Practice-First Educational Approaches. In: Arai, K. (eds) Proceedings of the Future Technologies Conference (FTC) 2022, Volume 3. FTC 2022 2022. Lecture Notes in Networks and Systems, vol 561. Springer, Cham. https://doi.org/10.1007/978-3-031-18344-7_12 This podcast is brought to you by the School of Computing at Southern Adventist University. If you’re interested in exploring the world of computing, from software development to data science and beyond, visit southern.edu/computing. |
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Open Zero-Watermarking Approach to Prevent the Unauthorized Use of Images in Deep LearningIn this episode, we explore a paper published by Ryan Downs, Daryl Illangovan, and Prof. Harvey Alférez entitled Open Zero-Watermarking Approach to Prevent the Unauthorized Use of Images in Deep Learning. Downs, R., Illangovan, D., Alférez, G.H. (2024). Open Zero-Watermarking Approach to Prevent the Unauthorized Use of Images in Deep Learning. In: Arai, K. (eds) Intelligent Systems and Applications. IntelliSys 2024. Lecture Notes in Networks and Systems, vol 1067. Springer, Cham. https://doi.org/10.1007/978-3-031-66431-1_27 This podcast is brought to you by the School of Computing at Southern Adventist University. If you’re interested in exploring the world of computing, from software development to data science and beyond, visit southern.edu/computing. |
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Game-Based Engagement Management SystemIn this episode, we explore a paper published by Samuel Rivera, Jaehyun Park, Prof. Harvey Alférez, Siegwart Mayr, and Prof. Matt Tolbert entitled Game-Based Engagement Management System. Rivera, S.E., Park, J., Alférez, G.H., Mayr, S., Tolbert, M.W. (2024). Game-Based Engagement Management System. In: Arai, K. (eds) Proceedings of the Future Technologies Conference (FTC) 2024, Volume 4. FTC 2024. Lecture Notes in Networks and Systems, vol 1157. Springer, Cham. https://doi.org/10.1007/978-3-031-73128-0_22 This podcast is brought to you by the School of Computing at Southern Adventist University. If you’re interested in exploring the world of computing, from software development to data science and beyond, visit southern.edu/computing. |
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Using Generative Artificial Intelligence for Suggesting Software Architecture Patterns from RequirementsIn this episode, we explore a paper published by Brandon Gustrowsky, Joel López Villarreal, and Prof. Harvey Alférez entitled Using Generative Artificial Intelligence for Suggesting Software Architecture Patterns from Requirements. Gustrowsky, B., Villarreal, J.L., Alférez, G.H. (2024). Using Generative Artificial Intelligence for Suggesting Software Architecture Patterns from Requirements. In: Arai, K. (eds) Intelligent Systems and Applications. IntelliSys 2024. Lecture Notes in Networks and Systems, vol 1068. Springer, Cham. https://doi.org/10.1007/978-3-031-66336-9_19 This podcast is brought to you by the School of Computing at Southern Adventist University. If you’re interested in exploring the world of computing, from software development to data science and beyond, visit southern.edu/computing. |
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Database Query Execution Through Virtual RealityIn this episode, we explore a paper published by Logan Bateman, Mark Butler, and Prof. Harvey Alférez entitled Database Query Execution Through Virtual Reality. Bateman, L.T., Butler, M.A., Alférez, G.H. (2023). Database Query Execution Through Virtual Reality. In: Arai, K. (eds) Proceedings of the Future Technologies Conference (FTC) 2022, Volume 2. FTC 2022. Lecture Notes in Networks and Systems, vol 560. Springer, Cham. https://doi.org/10.1007/978-3-031-18458-1_42 This podcast is brought to you by the School of Computing at Southern Adventist University. If you’re interested in exploring the world of computing, from software development to data science and beyond, visit southern.edu/computing. |