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ORCIDVineeth Vijayaraghavan
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2020 – today
- 2021
[c33]Prasannakumaran Dhanasekaran
, Harish Srinivasan, S. Sowmiya Sree, Sri Gayathri Devi I, Saikrishnan Sankar, Vineeth Vijayaraghavan:
SOMPS-Net: Attention Based Social Graph Framework for Early Detection of Fake Health News. AusDM 2021: 165-179- [c32]Sai Vishwanath Venkatesh, D. Prasannakumaran, Joish J. Bosco, Pravin Kumaar R, Vineeth Vijayaraghavan:
A Non-intrusive Machine Learning Solution for Malware Detection and Data Theft Classification in Smartphones. ICCS (3) 2021: 200-213 - [c31]Rishi Vardhan K, Vedanth S, Poojah G, Abhishek K, Nitish Kumar M, Vineeth Vijayaraghavan:
BP-Net: Efficient Deep Learning for Continuous Arterial Blood Pressure Estimation using Photoplethysmogram. ICMLA 2021: 1495-1500 - [c30]Sideshwar J. B, Sachin Krishan T, Vishal Nagarajan, Shanthakumar S, Vineeth Vijayaraghavan:
End-to-End Optimized Arrhythmia Detection Pipeline using Machine Learning for Ultra-Edge Devices. ICMLA 2021: 1501-1506 - [c29]Praveen Kumar R, I Niranjan Kumar, Sujith Sivasankaran, A. Mohan Vamsi, Vineeth Vijayaraghavan:
Critical State Detection for Adversarial Attacks in Deep Reinforcement Learning. ICMLA 2021: 1761-1766 - [c28]M. Badri Narayanan, K. Mahesh Bharadwaj, G. R. Nithin, Dhiganth Rao Padamnoor, Vineeth Vijayaraghavan:
Sign Language Translation Using Multi Context Transformer. MICAI (2) 2021: 311-324 - [i7]Sai Vishwanath Venkatesh, Prasanna D. Kumaran, Joish J. Bosco, Pravin Kumaar R, Vineeth Vijayaraghavan:
A Non-Intrusive Machine Learning Solution for Malware Detection and Data Theft Classification in Smartphones. CoRR abs/2102.06511 (2021) - [i6]Prasannakumaran Dhanasekaran, Harish Srinivasan, Sowmiya Sree S, Sri Gayathri Devi I, Saikrishnan Sankar, Vineeth Vijayaraghavan:
SOMPS-Net : Attention based social graph framework for early detection of fake health news. CoRR abs/2111.11272 (2021) - [i5]Sideshwar J. B, Sachin Krishan T, Vishal Nagarajan, Shanthakumar S, Vineeth Vijayaraghavan:
End-to-End Optimized Arrhythmia Detection Pipeline using Machine Learning for Ultra-Edge Devices. CoRR abs/2111.11789 (2021) - [i4]Rishi Vardhan K, Vedanth S, Poojah G, Abhishek K, Nitish Kumar M, Vineeth Vijayaraghavan:
BP-Net: Efficient Deep Learning for Continuous Arterial Blood Pressure Estimation using Photoplethysmogram. CoRR abs/2111.14558 (2021) - 2020
- [c27]Raj Vignesh Karunakaran, Rohitaa Ravikumar, Karthni Lakshmanan, Marjerie Suresh, Vineeth Vijayaraghavan:
Irrigation Load Optimization for Enhanced Agricultural Productivity in Rural Microgrid Clusters. GHTC 2020: 1-7 - [c26]Adittya Srikanth, Gayathri Narayana Yegna Narayanan, Shyam Kumar Lakshmanan, Hari Vignesh Baskar, Janani Jayaraman, Vineeth Vijayaraghavan:
Prosumer Based Economic Model for Energy Sharing between Microgrids in a Rural Indian Village Scenario. GHTC 2020: 1-6 - [c25]Nanda H. Krishna, Praveen Kumar R, Rishi Vardhan K, Vineeth Vijayaraghavan:
Defending Against Localized Adversarial Attacks on Edge-Deployed Monocular Depth Estimators. ICMLA 2020: 1281-1288 - [c24]Adithya Prem Anand, Gokul H, Harish Srinivasan, Pranav Vijay, Vineeth Vijayaraghavan:
Adversarial Patch Defense for Optical Flow Networks in Video Action Recognition. ICMLA 2020: 1289-1296 - [c23]Prithvi Suresh, Naveen Narayanan, Chakilam Vijay Pranav, Vineeth Vijayaraghavan:
End-to-End Deep Learning for Reliable Cardiac Activity Monitoring using Seismocardiograms. ICMLA 2020: 1369-1375 - [c22]Ramanathan Murugappan, Joish J. Bosco, Krishnakanth Eswaran, Pranav Vijay, Vineeth Vijayaraghavan:
User Independent Human Stress Detection. IEEE Conf. on Intelligent Systems 2020: 490-497 - [c21]Gokul H, Prithvi Suresh, Hari Vignesh Baskar, Pravin Kumaar R, Vineeth Vijayaraghavan:
Gait Recovery System for Parkinson's Disease using Machine Learning on Embedded Platforms. SysCon 2020: 1-8 - [c20]Sai Vishwanath Venkatesh, Adithya Prem Anand, Gokul Sahar S., Akshay Ramakrishnan, Vineeth Vijayaraghavan:
Real-time Surveillance based Crime Detection for Edge Devices. VISIGRAPP (4: VISAPP) 2020: 801-809 - [i3]Gokul H, Prithvi Suresh, Hari Vignesh Baskar, Pravin Kumaar R, Vineeth Vijayaraghavan:
Gait Recovery System for Parkinson's Disease using Machine Learning on Embedded Platforms. CoRR abs/2004.05811 (2020) - [i2]Prithvi Suresh, Naveen Narayanan, Chakilam Vijay Pranav, Vineeth Vijayaraghavan:
End-to-End Deep Learning for Reliable Cardiac Activity Monitoring using Seismocardiograms. CoRR abs/2010.05662 (2020)
2010 – 2019
- 2019
- [c19]Hari Vignesh Baskar, S. Marjerie, Abishek Coimbatore Sridhar, Sai Shankar Muthukrishnan, Vineeth Vijayaraghavan:
Intelligent Interconnection of Operating Micro-grid and Irrigation System in Dharnai - A Rural Indian Scenario. GHTC 2019: 1-7 - [c18]Janani Jayaraman, Taruna Sudhakar, Sai Shankar Muthukrishnan, Aswin Gopikanna, Vineeth Vijayaraghavan:
Irrigation Optimization for Agriculture Productivity: Case Study of a Hybrid Solar Microgrid in Rural India. GHTC 2019: 1-6 - [c17]Sundararaman Venkataramani, Ateendra Ramesh, Sharan Sundar S, Aashish Kumar Jain, Gautham Krishna Gudur, Vineeth Vijayaraghavan:
A Dynamically Adaptive Movie Occupancy Forecasting System with Feature Optimization. ICDM Workshops 2019: 799-805 - [c16]Abhijith Ragav, Nanda Harishankar Krishna, Naveen Narayanan, Kevin Thelly, Vineeth Vijayaraghavan:
Scalable Deep Learning for Stress and Affect Detection on Resource-Constrained Devices. ICMLA 2019: 1585-1592 - [c15]Syed Shahbaaz Ahmed, Gokul H, Prithvi Suresh, Vineeth Vijayaraghavan:
Low-Cost Wearable Gesture Recognition System with Minimal User Calibration for ASL. iThings/GreenCom/CPSCom/SmartData 2019: 1080-1087 - [c14]Nithish B. Moudhgalya, Siddharth Divi, V. Adithya Ganesan, S. Sharan Sundar, Vineeth Vijayaraghavan:
DeepTrace: A Generic Framework for Time Series Forecasting. IWANN (1) 2019: 139-151 - 2018
- [c13]Aswin Gopikanna, Vijay Kumar Shankar, Sai Shankar, Abishek Coimbatore Sridhar, Vineeth Vijayaraghavan:
Hybrid Architecture for Integrating Solar PV Irrigation Pumps with Existing Rural Indian Microgrid. GHTC 2018: 1-2 - [c12]Prahalathan Sundaramoorthy, Gautham Krishna Gudur, Manav Rajiv Moorthy, R. Nidhi Bhandari, Vineeth Vijayaraghavan:
HARNet: Towards On-Device Incremental Learning using Deep Ensembles on Constrained Devices. EMDL@MobiSys 2018: 31-36 - [i1]Gautham Krishna Gudur, Karthik Subramanian Nathan, Yogesh Kumar B, Ankith A. Prabhu, Ajay Kannan, Vineeth Vijayaraghavan:
A Generic Multi-modal Dynamic Gesture Recognition System using Machine Learning. CoRR abs/1809.05839 (2018) - 2017
- [c11]Gandhi Rajan, Meghana Kavakuntala, Vetrivel Subramaniam Rajkumar, Sivaroophini Gnanavel, Vineeth Vijayaraghavan:
Rural Indian microgrid design optimization - Intelligent battery sizing. GHTC 2017: 1-5 - [c10]Ajay Kannan, Ateendra Ramesh, Lakshminarasimhan Srinivasan, Vineeth Vijayaraghavan:
Low-cost static gesture recognition system using MEMS accelerometers. GIoTS 2017: 1-6 - [c9]Aswin Natesh, Gandhi Rajan, Balasubramanian Thiagarajan, Vineeth Vijayaraghavan:
Low-cost wireless intelligent two hand gesture recognition system. SysCon 2017: 1-6 - 2016
- [c8]Harini Sekar, Rajagopalan Rajashekar, Farhan Faisal, Rohan Ganpati, Vineeth Vijayaraghavan:
Intelligent dynamic grid forecasting algorithm for a grid-connected solar PV based microgrid. GHTC 2016: 421-427 - [c7]Harini Sekar, R. Rajashekar, Gosakan Srinivasan, Priyanka Suresh, Vineeth Vijayaraghavan:
Low-cost intelligent static gesture recognition system. SysCon 2016: 1-6 - 2015
- [c6]Vikram Vel, Meghana Kavakuntala, Ramesh Rajesh, Harini Sekar, Vineeth Vijayaraghavan:
Flexible D-agent architecture for DER operation in a rural Indian microgrid. GHTC 2015: 26-32 - [c5]Arjun Subramanian Ganesan, Bhargavi Govindarajan, Ramesh Rajesh, Vikram Vel, Vineeth Vijayaraghavan:
Dynamic and intelligent load servicing strategy for a stand-alone solar PV-based microgrid. GHTC 2015: 348-353 - 2014
- [c4]Balu Anand, A. J. Antony Venus, Mukundhan Srinivasan, Arun Noel Victor, Madhuri K., S. P. Sree Rakshaa, Vineeth Vijayaraghavan, Kartik Kulkarni:
Local Content Development Framework and Methodology for knowledge and skill development: IEEE Madras Section SIGHT case study. GHTC 2014: 120-124 - [c3]Balu Anand, A. J. Antony Venus, Mukundhan Srinivasan, Arun Noel Victor, Madhuri K., S. P. Sree Rakshaa, Vineeth Vijayaraghavan, Kartik Kulkarni:
Real-world proficiency augmentation among learners through merger of project based learning (PBL) and student social responsibility (SSR): IEEE Madras Section SIGHT case study. GHTC 2014: 313-317 - [c2]Rishikanth C, Harini Sekar, Gautham Rajagopal, Ramesh Rajesh, Vineeth Vijayaraghavan:
Low-cost intelligent gesture recognition engine for audio-vocally impaired individuals. GHTC 2014: 628-634 - 2013
- [c1]Mukundhan Srinivasan, Balu Anand, A. J. Antony Venus, Arun Noel Victor, Madhuri Narayanan, Sree Rakshaa S. P., Vineeth Vijayaraghavan:
GreenEduComp: Low cost green computing system for education in Rural India: A scheme for sustainable development through education. GHTC 2013: 102-107
Coauthor Index
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