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Gowrishankar
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2020 – today
- 2024
- [j13]A. Veena, S. Gowrishankar
:
An automated pre-term prediction system using EHG signal with the aid of deep learning technique. Multim. Tools Appl. 83(2): 4093-4113 (2024) - [j12]A. Veena, S. Gowrishankar
Automatic context-based health informatics system for diagnosing spinal deformity using deep learning. Multim. Tools Appl. 83(16): 49367-49387 (2024) - [j11]A. Veena, S. Gowrishankar:
Deep learning based hemorrhages classification using dcnn with optimized LSTM. Multim. Tools Appl. 83(32): 77595-77616 (2024) - 2023
- [j10]Rani K. P. Asha
Pathogen-Based Classification of Plant Diseases: A Deep Transfer Learning Approach for Intelligent Support Systems. IEEE Access 11: 64476-64493 (2023) - [c13]Aniverthy Amrutesh, Rani K. P. Asha, S. Gowrishankar:
ECG Image Analysis for Medical Issue Detection using Deep Transfer Learning Techniques. ICCCNT 2023: 1-7 - [c12]Rani K. P. Asha, S. Gowrishankar, Shirisha M, Shilpitha Manmatti, Aniverthy Amrutesh:
Exploration of Convolutional Neural Network Models for Accurate Classification of Severity in Silkworms. ICCCNT 2023: 1-6 - [c11]Chiranjeevi B. S, M. D. Shreyas, Inchara Karanth, Bhavana H. S, Rani K. P. Asha, S. Gowrishankar:
A Comparative Analysis on the Effectiveness of GAN Performance. ICCCNT 2023: 1-8 - 2022
- [j9]A. G. Nagesha, G. Mahesh, Gowrishankar:
Intelligent Feature Subset Selection with Machine Learning Based Detection and Mitigation of DDoS Attacks in 5G Environment. J. Interconnect. Networks 22(Supp-01): 2141032:1-2141032:24 (2022) - 2021
- [j8]A. G. Nagesha, G. Mahesh, Gowrishankar:
Identifying DDoS attacks in 4G networks using artificial neural networks and principal component analysis. Int. J. Netw. Virtual Organisations 25(1): 14-28 (2021) - [j7]Gauri Kalnoor, S. Gowrishankar:
Internet of Things (IoT) based Network Integrated with Sensor Nodes for Intruder Detection and Low Energy Consumption. J. Ubiquitous Syst. Pervasive Networks 15(1): 43-48 (2021) - 2020
- [j6]M. Megha, Ishwari Ginimav, S. Gowrishankar:
Modelling of Content Adaptation in 5G Networks: A Survey. SN Comput. Sci. 1(3): 158 (2020)
2010 – 2019
- 2018
- [c10]Asha G. R., Gowrishankar:
Energy efficient clustering and routing in a wireless sensor networks. FNC/MobiSPC 2018: 178-185 - [c9]G. Mahesh
Comprehensive call admission control tool for next generation wireless networks. SDS 2018: 229-235 - 2012
- [c8]Prakash B. Metre
Survey of soft computing techniques for joint radio resource management. ICMCS 2012: 562-565 - 2010
- [j5]H. S. Ramesh Babu, Gowrishankar
Call Admission Control for Next Generation Wireless Networks Using Higher Order Markov Model. Comput. Inf. Sci. 3(1): 192-198 (2010) - [j4]H. S. Ramesh Babu, Gowrishankar, P. S. Satyanarayana:
Unified Performance and Availability Model for Call Admission Control in Heterogeneous Wireless Networks. Int. J. Commun. Netw. Syst. Sci. 3(4): 406-412 (2010) - [j3]H. S. Ramesh Babu, Gowrishankar, P. S. Satyanarayana:
A Perspective on Traffic Measurement Tools in Wireless Networks. Wirel. Eng. Technol. 1(1): 14-19 (2010) - [c7]H. S. Ramesh Babu, Gowrishankar
A Perspective on Estimation of Available Capacity in Wireless Networks. MOBILWARE 2010: 451-461 - [i3]H. S. Ramesh Babu, Gowrishankar, P. S. Satyanarayana:
Call Admission Control performance model for Beyond 3G Wireless Networks. CoRR abs/1001.2272 (2010) - [i2]H. S. Ramesh Babu, Gowrishankar, P. S. Satyanarayana:
A QoS Provisioning Recurrent Neural Network based Call Admission Control for beyond 3G Networks. CoRR abs/1004.3563 (2010) - [i1]H. S. Ramesh Babu, Gowrishankar, P. S. Satyanarayana:
An Intelligent Call Admission Control Decision Mechanism for Wireless Networks. CoRR abs/1004.4444 (2010)
2000 – 2009
- 2009
- [j2]S. Gowrishankar, P. S. Satyanarayana:
A Time Series Modeling and Prediction of Wireless Network Traffic. Int. J. Interact. Mob. Technol. 3(1): 53-62 (2009) - [c6]H. S. Ramesh Babu
Call Admission Control Approaches in Beyond 3G Networks Using Multi Criteria Decision Making. CICSyN 2009: 492-496 - [c5]S. Gowrishankar
Simulation Based Performance Comparison of Community Model, GFMM, RPGM, Manhattan Model and RWP-SS Mobility Models in MANET. NetCoM 2009: 408-413 - 2008
- [j1]Gowrishankar
Neural Network Based Traffic Prediction for Wireless Data Networks. Int. J. Comput. Intell. Syst. 1(4): 379-389 (2008) - [c4]S. Gowrishankar
Analysis of Overhead Control Mechanisms in Mobile AD HOC Networks. World Congress on Engineering (Selected Papers) 2008: 329-341 - 2007
- [c3]S. Gowrishankar, T. G. Basavaraju, C. Puttamadappa, Subir Kumar Sarkar:
Behavioral Study of MAODV Routing Protocol under Various Network Scenarios in MANET. IMECS 2007: 332-337 - [c2]Gowrishankar
Recurrent neural network based BER prediction for NLOS channels. Mobility Conference 2007: 410-416 - 2005
- [c1]Gowrishankar
A Middleware for Distributed System in Heterogeneous Wireless Networks. ICPADS (2) 2005: 654-658
Coauthor Index
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