Research output per year
Research output per year
Personal profile
Professional Information
Time Table coordinator
Research interests
Machine Learning, Data Science, Edge computing
Experience
Teaching 17 yrs Research 5yrs
Fingerprint
Dive into the research topics where Sangeeta Parameshwar Sangani is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
A feature-level ensemble machine learning approach for attack detection in IoT networks
Khan, F., Kumar, B. S. S. & Sangani, S., 12-2025, In: Discover Internet of Things. 5, 1, 81.Research output: Contribution to journal › Article › peer-review
Open Access -
Exploring machine learning for fake news detection: techniques, tools, challenges, and future research directions
Yakkundi, S., Patil, R., Sangani, S., Goudar, R. H., Goudar, S. I. & Qazi, A., 08-2025, In: Discover Applied Sciences. 7, 8, 873.Research output: Contribution to journal › Review article › peer-review
Open Access -
Hybrid Machine Learning Model for Detecting Depression on its Early Stage
Kokila, S., Yashaswini, K. A., Manasa, C. M., Preethi, Sangani, S. P. & Sapna, R., 2025, 2025 IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2025 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 232-237 6 p. (2025 IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2025 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
Review on music emotion analysis using machine learning: technologies, methods, datasets, and challenges
Patil, S., Patil, R., Goudar, S., Sangani, S. & Goudar, R. H., 07-2025, In: Discover Applied Sciences. 7, 7, 692.Research output: Contribution to journal › Review article › peer-review
Open Access -
Efficient algorithm for error optimization and resource prediction to mitigate cost and energy consumption in a cloud environment
Sangani, S., Patil, R. & Goudar, R. H., 04-2024, In: International Journal of Information Technology (Singapore). 16, 4, p. 2187-2197 11 p.Research output: Contribution to journal › Article › peer-review
15 Citations (Scopus)