Publications

Refereed Journal(s):   

1. Nitin Arora., S. C. Sharma, A comparative study on facial image retrieval using local patterns. Multimed Tools Appl (2024), pp. 1-56. [SCIE indexed] [Springer, IF: 3.6, Q1] [Status: Published] https://doi.org/10.1007/s11042-024-18311-y

2. Nitin Arora, Sharma, S.C. The practical applications of HLBP texture descriptor. Multimed Tools Appl vol. 82 (18), pp. 29379–29404 (2023). [SCIE indexed] [Springer, IF: 3.6, Q1] [Status: Published] https://doi.org/10.1007/s11042-023-14406-0

3. Nitin Arora, Sucharitha, G. & Sharma, S.C. MVM-LBP :  mean−variance−median based LBP for face recognition. Int. j. inf. tecnol. 15, 1231–1242 (2023) [Springer, Scopus indexed] [Status: Published]. https://doi.org/10.1007/s41870-023-01204-y

4. Nitin Arora, Sharma, S.C. ETLBP and ERDLBP descriptors for efficient facial image retrieval in CBIR systems. Multimed Tools Appl vol. 83(4), pp. 9817–9851 (2024). [SCIE indexed] [Springer, IF: 3.6, Q1] [Status: Published] https://doi.org/10.1007/s11042-023-15832-w

5. Sucharitha, G., Arora, Nitin. & Sharma, S.C. Medical image retrieval using a novel local relative directional edge pattern and Zernike moments. Multimed Tools Appl 82, 31737–31757 (2023).  [SCIE indexed] [Springer, IF: 3.6, Q1] [Status: Published] https://doi.org/10.1007/s11042-023-14720-7 

6. Tripathi, K.N., Kaur, G., Arora, N. et al. An Efficient Mobile Edge Computing based Resource Allocation using Optimal Double Weighted Support Vector Transfer Regression. J Grid Computing 21, 49 (2023).[SCIE indexed] [Springer, IF: 5.5, Q1]  https://doi.org/10.1007/s10723-023-09680-z 

7. Arora, N., Kakde, A. & Sharma, S.C. An optimal approach for content-based image retrieval using deep learning on COVID-19 and pneumonia X-ray Images. Int J Syst Assur Eng Manag 14 (Suppl 1), 246–255 (2023).[ESCI indexed] [Springer]https://doi.org/10.1007/s13198-022-01846-4 

8. Arora, N., Singh, A., Al-Dabagh, M. Z. N., & Maitra, S. K. (2022). A novel architecture for diabetes patients’ prediction using K-means clustering and SVM. [SCIE indexed] [MDPI]Mathematical Problems in Engineering, 2022. 

9. Arora, N., Ashok, A., & Tiwari, S. (2019). Efficient Image Retrieval through Hybrid Feature Set and Neural Network. International Journal of Image, Graphics & Signal Processing, 11(1).[Scopus indexed]

10. Martolia, M., Dhanore,N., Singh, A., Shahare, V., & Arora, Nitin. (2020). A modified local binary pattern (lbp) for content-based image retrieval. International Journal of Advanced Science and Technology, 29(1), 1630–1644 (Scopus).

11. Nitin Arora, Shekhar Karnwal, Kuldeep Narayan Tripathi, Subhash C. Sharma, "Content-based Image Retrieval and Classification Using Modified Elliptical Local Binary Patterns and Machine Learning Techniques," Multimedia Tools and Applications, March 2024. [SCIE indexed] [Springer IF: 3.6, Q1] [Status: Submitted]

International Conference(s)

12. Nitin Arora, P. Sharma, P. Kumar and S. C. Sharma, "RTLBP-AN Efficient Local Pattern For Facial Images Retrieval," ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, Republic of, 2024, pp. 3525-3529, doi: 10.1109/ICASSP48485.2024.10446190.

13. Nitin Arora, & S. C. Sharma, "Resource-efficient image retrieval: A study of local patterns vs. deep learning models," 2023 4th international conference on machine learning, advances in computing, renewable energy, and communication, (MARC), [Presented Springer, Scopus]

14. Nitin Arora, P. Yadav, K. Tripathi, and S. Sharma, "Performance of CNN for different facial expression images with varying input dataset sizes," 2023 International Conference on Device Intelligence, Computing and Communication Technologies, (DICCT), Dehradun, India, 2023, pp. 351-355, doi: 10.1109/DICCT56244.2023.10110137

15. P. Yadav, N. Arora and S. Chander Sharma, "Performance Analysis of Nature-Inspired Optimization Algorithms for Chronic Disease Prediction," 2023 International Conference on Device Intelligence, Computing and Communication Technologies, (DICCT), Dehradun, India, 2023, pp. 1-6, doi: 10.1109/DICCT56244.2023.10110169. 

16. N. Arora, M. R. Mishra, V. Goswami, J. Chakraborty, L. Barik and S. S. Patra, "Blockchain based Qinsurancechain: Role of Smart Contracts in Fast and Secure Healthcare Insurance Claim," 2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC), Coimbatore, India, 2022, pp. 635-641, doi: 10.1109/ICESC54411.2022.9885531. 

Book Chapter(s)

17. Hayat, A., Shahare, V., Sharma, A.K., Arora, N. (2023). Introduction to Industry 4.0. In: Namasudra, S., Akkaya, K. (eds) Blockchain and its Applications in Industry 4.0. Studies in Big Data, vol 119. Springer, Singapore. https://doi.org/10.1007/978-981-19-8730-4_2 

18. Singh, A., Arora, N., & Singh, T. P. Role of IoT in Smart Cities: Proliferation and Challenges. In AI-Based Data Analytics (pp. 141-155). Auerbach Publications. 

19. Singh, A., Singh, R., & Arora, N. Abnormality Classifications Using Machine Learning. In Artificial Intelligence and Machine Learning (pp. 101-112). CRC Press. 

20. Arora, N., Singh, A., Shahare, V., & Datta, G. (2023). Introduction to Big Data Analytics. In Towards the Integration of IoT, Cloud and Big Data: Services, Applications and Standards (pp. 1-18). Singapore: Springer Nature Singapore. 

21. Shahare, V., Arora, N., Hayat, A., & Mouje, N. (2023). Machine Learning Algorithms for Big Data Analytics. In Demystifying Big Data Analytics for Industries and Smart Societies (pp. 47-63). Chapman and Hall/CRC. 

Patents(s)

22. Australian Innovation Patent, Application No: 2021103327, Title: System and Method for Measurement of Water Quality, Temperature and Level in a Storage Tank, Status: Granted