Research output per year
Research output per year
Personal profile
Research interests
Machine Learning, Deep Learning, Recommender Systems, Advanced Driver Assistance Systems
Creative Works
Music Information Survey article is published in ACM computing surveys with an impact factor of 16.
Experience
12 Years Teaching and 5 Years Research
Fingerprint
Dive into the research topics where Yarlagadda Vishnu Srinivasa Murthy is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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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
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A Comparative Approach for Weapon Detection from Images Using Deep Learning Algorithms
Murthy, Y. V. S., Agrawal, S., Malu, R., Cenkeramaddi, L. R. & Madhusudhan, K. S., 2024, 2024 IEEE 19th Conference on Industrial Electronics and Applications, ICIEA 2024. Institute of Electrical and Electronics Engineers Inc., (2024 IEEE 19th Conference on Industrial Electronics and Applications, ICIEA 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Acute Ischemic Brain Stroke Classification Using Attention-Augmented Ensemble Approach
Maurya, R., Shaurya, R., Gopalakrishnan, T., Vishnu Srinivasa Murthy, Y. & Priya, S., 2024, 2024 IEEE 3rd World Conference on Applied Intelligence and Computing, AIC 2024. Institute of Electrical and Electronics Engineers Inc., p. 500-504 5 p. (2024 IEEE 3rd World Conference on Applied Intelligence and Computing, AIC 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Development of a Crop Recommendation System Through the Use of Various Machine Learning Algorithms
Bhatnagar, S., Lakshmi, N., Ashwitha, A. & Vishnu Srinivasa Murthy, Y., 2024, 2nd International Conference on Emerging Trends in Information Technology and Engineering, ic-ETITE 2024. Institute of Electrical and Electronics Engineers Inc., (2nd International Conference on Emerging Trends in Information Technology and Engineering, ic-ETITE 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2 Citations (Scopus) -
Pavement Distress Detection, Classification and Analysis using Machine Learning Algorithms: A Survey
Kothai, R., Prabakaran, N., Srinivasa Murthy, Y. V., Cenkeramaddi, L. R. & Kakani, V., 2024, In: IEEE Access. 12, p. 126943-126960 18 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
Skin Lesion Classification using Deep Feature Fusion and Selection Using XGBoost Classifier
Maurya, R., Bais, A. K., Gopalakrishnan, T., Dutta, M. K., Pandey, N. N. & Srinivasa Murthy, Y. V., 2024, 2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2024. Kapri, D. (ed.). Institute of Electrical and Electronics Engineers Inc., (2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
8 Citations (Scopus)