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2020 – today
- 2024
[c5]Jyotirmoy Karjee, Karan Raj Kakwani, Kartik Anand, Praveen S. Naik:
Lightweight Multimodal Fusion Computing Model for Emotional Streaming in Edge Platform. CCNC 2024: 419-424- [c4]Jyotirmoy Karjee, Praveen S. Naik, Kartik Anand, Utkash Sharma, Abhay Thakur:
Multi-Channel Transport Scheduler for Extended Reality in Distributed Computing. CCNC 2024: 590-593 - 2023
- [c3]Jyotirmoy Karjee, Praveen S. Naik, Kartik Anand, Chandrashekhar S. Byadgi, Ramesh Babu Venkat Dabbiru, N. Srinidhi:
Split Computing based Quantized PoseNet Model for Distributed AI Architecture in IoT-Edge. COMSNETS 2023: 192-194 - 2022
- [c2]Jyotirmoy Karjee, Kartik Anand, Praveen S. Naik, Ramesh Babu Venkat Dabbiru, Chandrashekhar S. Byadgi, N. Srinidhi:
Dynamic Split Computing of PoseNet Inference for Fitness Applications in Home IoT-Edge Platform. COMSNETS 2022: 430-432 - 2021
- [j1]Kartik Anand, Siddhaling Urolagin, Ram Krishn Mishra
:
How does hand gestures in videos impact social media engagement - Insights based on deep learning. Int. J. Inf. Manag. Data Insights 1(2): 100036 (2021) - [c1]Jyotirmoy Karjee, Kartik Anand, Vanamala Narasimha Bhargav, Praveen S. Naik, Ramesh Babu Venkat Dabbiru, N. Srinidhi:
Split Computing: Dynamic Partitioning and Reliable Communications in IoT-Edge for 6G Vision. FiCloud 2021: 233-240
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