ARCHIVES

1. Bandura, A. (1997). Self-efficacy. Freeman.
2. Dewey, J. (1938). Experience and education. Macmillan.
3. Hattie, J. (2009). Visible learning. Routledge.
4. Laurillard, D. (2012). Teaching as a design science. Routledge.
5. Lucas, S. E. (2015). The art of public speaking. McGraw-Hill.
6. Mayer, R. E. (2009). Multimedia learning. Cambridge.
7. Robinson, K. (2006). TED Talk.
8. Vygotsky, L. S. (1978). Mind in society. Harvard.
9. S. Patra, S. Dash, S. R. Mishra, M. Kaur and N. Kumar, "Integrating Ensemble Learning with Ayurvedic Principles for Tridosha Type
Prediction," 2026 3rd International Conference on Advancements and Key Challenges in Green Energy and Computing (AKGEC),
Ghaziabad, India, 2026, pp. 1-6, doi: 10.1109/AKGEC68790.2026.11485830.
10. A. Baboo, S. Dash, R. Panda, R. Nayapamu and A. Anusha, "An Interpretable Hybrid CNN Framework for Severity Classification of
Cardiovascular Diseases Using ECG Data," 2025 2nd Global AI Summit - International Conference on Artificial Intelligence and
Emerging Technology (AI Summit), Noida, India, 2025, pp. 1255-1260, doi: 10.1109/AISummit66170.2025.11410747.
11. S. Patra, S. Dash and A. Baboo, "Microscopic Image Analysis for Sickle Cell Disease Detection Using Deep Neural Networks," 2025 2nd
Global AI Summit - International Conference on Artificial Intelligence and Emerging Technology (AI Summit), Noida, India, 2025, pp.
1355-1360, doi: 10.1109/AISummit66170.2025.11410709.
12. S. R. Manchem, S. Dash and M. J. Rao, "Cognitive and Personality Traits in Identifying Learner Profiles for Programming Readiness and
Adaptive Instruction," 2025 2nd Global AI Summit - International Conference on Artificial Intelligence and Emerging Technology (AI
Summit), Noida, India, 2025, pp. 1539-1544, doi: 10.1109/AISummit66170.2025.11411579.
13. S. S. Purohit, P. S. Rath, S. Patra and S. Dash, "CatBoost Based Machine Learning Framework for Early Tuberculosis Prediction from
Clinical and Demographic Data," 2025 IEEE 3rd International Symposium on Sustainable Energy, Signal Processing and Cybersecurity,
Gunupur, Odisha, India, 2025, pp. 1-5, doi: 10.1109/iSSSC66652.2025.11388752
14. N. Dora, S. Dash, A. Baboo and S. Ranjan Mishra, "Efficient Nail Disease Diagnosis Using Deep Neural Networks for Predicting
Abnormalities," 2025 International Conference on Next Generation of Green Information and Emerging Technologies (GIET), Gunupur,
India, 2025, pp. 1-5, doi: 10.1109/GIET65294.2025.11234860.
15. S. Dash, S. R. Mishra and A. Baboo, "Efficient Prediction of Diabetes Mellitus Through Hybrid Ensemble Machine Learning Model
Using IoT," 2025 1st International Conference on AIML-Applications for Engineering & Technology (ICAET), Pune, India, 2025, pp. 1-
6, doi: 10.1109/ICAET63349.2025.10932328.
16. S. Dash, S. R. Mishra and A. Baboo, "Enhancing Diabetes Prediction using Hybrid Ensemble Approach," 2025 International Conference
on Intelligent Systems and Computational Networks (ICISCN), Bidar, India, 2025, pp. 1-6, doi: 10.1109/ICISCN64258.2025.10934316.
17. Kumar, K. D., Dash, S., Ganiya, R. K., & Pradhan, P. C. (2025). A genetic algorithm-optimized hybrid CNN-LSTM for robust EEG
seizure detection and adversarial defense. In Intelligent Computing Techniques and Applications
18. S. R. Mishra and S. Dash, "Machine Learning Based Diabetes Prediction Using the PIMA Indian Dataset," 2024 2nd International
Conference on Signal Processing, Communication, Power and Embedded System (SCOPES), Paralakhemundi Campus, Centurion
University of Technology and Management, Odisha., India, 2024, pp. 1-6, doi: 10.1109/SCOPES64467.2024.10991027.