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Shrirang Ambaji Kulkarni
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2020 – today
- 2024
- [j10]Varun P. Sarvade, Shrirang Ambaji Kulkarni:
Deep learning based adaptive Ryu controller model for quality of experience issues in multimedia streaming for software defined vehicular networks. Appl. Intell. 54(20): 9543-9564 (2024) - 2023
- [j9]Charvi Bannur, Chaitra Bhat, Kushagra Singh, Shrirang Ambaji Kulkarni, Mrityunjay Doddamani:
PAACDA: Comprehensive Data Corruption Detection Algorithm. IEEE Access 11: 24908-24934 (2023) - [j8]Ravichander Janapati, Vishwas Dalal, Usha Desai, Rakesh Sengupta, Shrirang Ambaji Kulkarni, D. Jude Hemanth:
Classification of Visually Evoked Potential EEG Using Hybrid Anchoring-based Particle Swarm Optimized Scaled Conjugate Gradient Multi-Layer Perceptron Classifier. Int. J. Artif. Intell. Tools 32(3): 2340016:1-2340016:20 (2023) - [j7]Varadraj Prabhu Gurupur, Thomas T. H. Wan, Ramaraju Rudraraju, Shrirang Ambaji Kulkarni:
The need for innovations in healthcare systems using patient experience and advancing information technology. J. Integr. Des. Process. Sci. 27(1): 1-5 (2023) - 2021
- [j6]Shrirang Ambaji Kulkarni, Varadraj Prabhu Gurupur, Christian King, Andriy V. Koval:
Impact of Gaussian Noise for Optimized Support Vector Machine Algorithm Applied to Medicare Payment on Raspberry Pi. Informatica (Slovenia) 45(4) (2021) - [j5]Shrirang Ambaji Kulkarni, Jodh S. Pannu, Andriy V. Koval, Gabriel J. Merrin, Varadraj Prabhu Gurupur, Ayan Nasir, Christian King, Thomas T. H. Wan:
A Brief Analysis of Key Machine Learning Methods for Predicting Medicare Payments Related to Physical Therapy Practices in the United States. Inf. 12(2): 57 (2021)
2010 – 2019
- 2019
- [j4]Varadraj Prabhu Gurupur, Shrirang Ambaji Kulkarni, Xinliang Liu, Usha Desai, Ayan Nasir:
Analysing the power of deep learning techniques over the traditional methods using medicare utilisation and provider data. J. Exp. Theor. Artif. Intell. 31(1): 99-115 (2019) - 2017
- [c4]Varun P. Sarvade, Shrirang Ambaji Kulkarni:
Performance analysis of IEEE 802.11ac for vehicular networks using realistic traffic scenarios. ICACCI 2017: 137-141 - [c3]Apurva K. Kini, Shrirang Ambaji Kulkarni:
Real time implementation of k fake location generation algorithm to protect location privacy in location based services. ICACCI 2017: 142-148 - 2012
- [j3]Shrirang Ambaji Kulkarni, G. Raghavendra Rao:
Quality of Service Issues for Reinforcement Learning Based Routing Algorithm for Ad-Hoc Networks. J. Comput. Inf. Technol. 20(4): 247-256 (2012) - [j2]Shrirang Ambaji Kulkarni, G. Raghavendra Rao:
Issues in Energy Optimization of Reinforcement Learning Based Routing Algorithm Applied to Ad-hoc Networks. Informatica (Slovenia) 36(2): 213-220 (2012) - 2011
- [j1]Shrirang Ambaji Kulkarni, G. Raghavendra Rao:
Optimisation of reinforcement learning algorithm applied to dynamic network. Int. J. Inf. Commun. Technol. 3(2): 101-115 (2011) - 2010
- [c2]Shrirang Ambaji Kulkarni, G. Raghavendra Rao:
Vehicular Ad Hoc Network Mobility Models Applied for Reinforcement Learning Routing Algorithm. IC3 (2) 2010: 230-240 - [i1]Shrirang Ambaji Kulkarni, G. Raghavendra Rao:
A Group Vehicular Mobility Model for Routing Protocol Analysis in Mobile Ad Hoc Network. CoRR abs/1003.4078 (2010)
2000 – 2009
- 2008
- [c1]Shrirang Ambaji Kulkarni, G. Raghavendra Rao:
Mobility Model Perspectives for Scalability and Routing Protocol Performances in Wireless Ad-Hoc Network. ICETET 2008: 176-181
Coauthor Index
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last updated on 2024-10-07 22:19 CEST by the dblp team
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