ARCHIVES

1. 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.
2. Andrews, J., & Higson, H. (2008). Graduate employability, ‘soft skills’ and graduate employability: Evidence from Europe. Higher
Education in Europe, 33(4), 411–422.
3. Barrie, S. C. (2006). Understanding what we mean by the generic attributes of graduates. Higher Education, 51(2), 215–241.
4. Billet, S. (2011). Vocational education: Purposes, traditions and prospects. Springer Science & Business Media.
5. Bridgstock, R. (2009). The graduate attributes we’ve overlooked: Enhancing graduate employability through career management. Higher
Education Research & Development, 28(1), 31–44.
6. Brown, P., & Lauder, H. (2006). Globalisation, knowledge and the myth of the magnet economy. Globalisation, Societies and Education,
4(1), 25–57.
7. Clarke, M. (2018). Rethinking graduate employability: The role of capital, individual attributes and context. Studies in Higher Education,
43(11), 1923–1937.
8. Harvey, L. (2003). Transitions from higher education to work: A briefing paper. Academic Press.
9. Helyer, R., & Lee, D. (2014). The role of work experience in the future employability of higher education graduates. Higher Education
Quarterly, 68(3), 348–372.
10. International Labour Organization. (2017). Skills and employability: A guide for policy-makers. ILO Publications.
11. Jackson, D. (2015). Employability skill development in work-integrated learning: Barriers and best practice. Studies in Higher Education,
40(2), 350–367.
12. Kolb, D. A. (1984). Experiential learning: Experience as the source of learning and development. Prentice-Hall.
13. Kumar, K. D., Dash, S., Ganiya, R. K., & Pradhan, P. C. (2025). A genetic algorithm-optimized hybrid CNN-LSTM for robust EEGseizure detection and adversarial defense. In Intelligent Computing Techniques and Applications
14. McQuaid, R. W., & Lindsay, C. (2005). The concept of employability. Urban Studies, 42(2), 197–219.
15. 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.
16. National Association of Colleges and Employers (NACE). (2022). Job Outlook 2022: The attributes employers seek on students' resumes.
NACE.
17. Pegg, A., Waldock, J., Hendy-Isaac, S., & Lawton, R. (2012). Pedagogy for employability. Higher Education Academy.
18. Römgens, I., Scoupe, R., & Beausaert, S. (2020). Unraveling the concept of employability petals: Which factors should be considered in
higher education? Studies in Higher Education, 45(12), 2502–2515.
19. 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.
20. 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.
21. 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.
22. 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.
23. 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.
24. 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.
25. 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
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Journal of Hospitality Management, 86, 102428.
27. Tomlinson, M. (2012). Graduate employability: A review of conceptual and empirical themes. Higher Education Policy, 25(4), 407–431.
28. Tymon, A. (2013). The student perspective on employability. Studies in Higher Education, 38(6), 841–856.
29. World Economic Forum. (2020). The Future of Jobs Report 2020. World Economic Forum.
30. Yorke, M. (2006). Employability in higher education: What it is - what it is not. Higher Education Academy.