Mobility Model Perspectives for Scalability and Routing Protocol Performances in Wireless Ad-Hoc Network. - Shrirang Ambaji Kulkarni; G. Raghavendra Rao (ICETET, 2008)

Vehicular Ad Hoc Network Mobility Models Applied for Reinforcement Learning Routing Algorithm. - Shrirang Ambaji Kulkarni; G. Raghavendra Rao (IC3 (2), 2010)

A Group Vehicular Mobility Model for Routing Protocol Analysis in Mobile Ad Hoc Network - Shrirang Ambaji Kulkarni; G. Raghavendra Rao (CoRR, 2010)

Optimisation of reinforcement learning algorithm applied to dynamic network. - Shrirang Ambaji Kulkarni; G. Raghavendra Rao (Int. J. Inf. Commun. Technol., 2011)

Quality of Service Issues for Reinforcement Learning Based Routing Algorithm for Ad-Hoc Networks. - Shrirang Ambaji Kulkarni; G. Raghavendra Rao (J. Comput. Inf. Technol., 2012)

Issues in Energy Optimization of Reinforcement Learning Based Routing Algorithm Applied to Ad-hoc Networks. - Shrirang Ambaji Kulkarni; G. Raghavendra Rao (Informatica (Slovenia), 2012)

Real time implementation of k fake location generation algorithm to protect location privacy in location based services. - Apurva K. Kini; Shrirang Ambaji Kulkarni (ICACCI, 2017)

Performance analysis of IEEE 802.11ac for vehicular networks using realistic traffic scenarios. - Varun P. Sarvade; Shrirang Ambaji Kulkarni (ICACCI, 2017)

Analysing the power of deep learning techniques over the traditional methods using medicare utilisation and provider data. - Varadraj Prabhu Gurupur; Shrirang Ambaji Kulkarni; Xinliang Liu; Usha Desai; Ayan Nasir (J. Exp. Theor. Artif. Intell., 2019)

Impact of Gaussian Noise for Optimized Support Vector Machine Algorithm Applied to Medicare Payment on Raspberry Pi. - Shrirang Ambaji Kulkarni; Varadraj Prabhu Gurupur; Christian King; Andriy V. Koval (Informatica (Slovenia), 2021)

A Brief Analysis of Key Machine Learning Methods for Predicting Medicare Payments Related to Physical Therapy Practices in the United States. - Shrirang Ambaji Kulkarni; Jodh S. Pannu; Andriy V. Koval; Gabriel J. Merrin; Varadraj Prabhu Gurupur; Ayan Nasir; Christian King; Thomas T. H. Wan (Inf., 2021)

PAACDA: Comprehensive Data Corruption Detection Algorithm. - Charvi Bannur; Chaitra Bhat; Kushagra Singh; Shrirang Ambaji Kulkarni; Mrityunjay Doddamani (IEEE Access, 2023)

The need for innovations in healthcare systems using patient experience and advancing information technology. - Varadraj Prabhu Gurupur; Thomas T. H. Wan; Ramaraju Rudraraju; Shrirang Ambaji Kulkarni (J. Integr. Des. Process. Sci., 2023)

Classification of Visually Evoked Potential EEG Using Hybrid Anchoring-based Particle Swarm Optimized Scaled Conjugate Gradient Multi-Layer Perceptron Classifier. - Ravichander Janapati; Vishwas Dalal; Usha Desai; Rakesh Sengupta; Shrirang Ambaji Kulkarni; D. Jude Hemanth (Int. J. Artif. Intell. Tools, 2023)

Application of Machine Learning Models for Malware Classification With Real and Synthetic Datasets. - Santosh Joshi; Alexander Perez-Pons; Shrirang Ambaji Kulkarni; Himanshu Upadhyay (Int. J. Inf. Secur. Priv., 2024)

Deep learning based adaptive Ryu controller model for quality of experience issues in multimedia streaming for software defined vehicular networks. - Varun P. Sarvade; Shrirang Ambaji Kulkarni (Appl. Intell., 2024)