Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Deep learning approaches for lyme disease detection: leveraging progressive resizing and self-supervised learning models.

D. Jerrish, O. Nankar, S. Gite, S. Patil, K. Kotecha, G. Selvachandran, and A. Abraham. Multim. Tools Appl., 83 (7): 21281-21318 (2024)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Shruti Sharma

Shruti Agarwal

Pratap Patil

Nanoscopic metal fluoride based novel solid catalystsP. Patil. HU Berlin, (2008)

Manohar Patil

Ganesh Patil

Other publications of authors with the same name

Characterization of User's Behavior Variations for Design of Replayable Mobile Workloads.S. Patil, Y. Kim, K. Korgaonkar, I. Awwal, and T. Rosing. MobiCASE, volume 162 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 51-70. Springer, (2015)Low power data-aware STT-RAM based hybrid cache architecture.M. Imani, S. Patil, and T. Rosing. ISQED, page 88-94. IEEE, (2016)Data-Driven Remaining Useful Life Estimation for Milling Process: Sensors, Algorithms, Datasets, and Future Directions.S. Sayyad, S. Kumar, A. Bongale, P. Kamat, S. Patil, and K. Kotecha. IEEE Access, (2021)Target-DBPPred: An intelligent model for prediction of DNA-binding proteins using discrete wavelet transform based compression and light eXtreme gradient boosting.F. Ali, H. Kumar, S. Patil, K. Kotecha, A. Banjar, and A. Daud. Comput. Biol. Medicine, (2022)A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions.B. Khemani, S. Patil, K. Kotecha, and S. Tanwar. J. Big Data, 11 (1): 18 (December 2024)Weighted area technique for electromechanically enabled logic computation with cantilever-based NEMS switches.S. Patil, M. Jang, C. Chen, D. Lee, Z. Ye, W. Partlo, D. Lilja, S. Campbell, and T. Cui. DATE, page 727-732. IEEE, (2012)Maximizing Resource Utilization by Slicing of Superscalar Architecture.S. Patil, and V. Muthukumar. DSD, page 923-930. IEEE Computer Society, (2008)Improving the Robustness of AI-Based Malware Detection Using Adversarial Machine Learning.S. Patil, V. Vijayakumar, D. Walimbe, S. Gulechha, S. Shenoy, A. Raina, and K. Kotecha. Algorithms, 14 (10): 297 (2021)Deep learning based respiratory sound analysis for detection of chronic obstructive pulmonary disease.A. Srivastava, S. Jain, R. Miranda, S. Patil, S. Pandya, and K. Kotecha. PeerJ Comput. Sci., (2021)Securing AI-based healthcare systems using blockchain technology: A state-of-the-art systematic literature review and future research directions.R. Shinde, S. Patil, K. Kotecha, V. Potdar, G. Selvachandran, and A. Abraham. Trans. Emerg. Telecommun. Technol., (January 2024)

BibSonomy

Disambiguation of "Patil, Shruti"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Deep learning approaches for lyme disease detection: leveraging progressive resizing and self-supervised learning models.

Please choose a person to relate this publication to

Shruti Sharma

Shruti Agarwal

Pratap Patil

Manohar Patil

Ganesh Patil

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Patil, Shruti"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Deep learning approaches for lyme disease detection: leveraging progressive resizing and self-supervised learning models.

Please choose a person to relate this publication to

Shruti Sharma

Shruti Agarwal

Pratap Patil

Manohar Patil

Ganesh Patil

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Deep learning approaches for lyme disease detection: leveraging progressive resizing and self-supervised learning models.