activity
20152021
most citedA simple Stochastic SIR model for COVID 19 Infection Dynamics for Karnataka: Learning from Europe

68 citations · 75 across the 8 of their papers we have counts for

collaborators

15 papers

cs.NI2021

Towards Enabling High-Five Over WiFi

Vineet Gokhale, Mohamad Eid, Kees Kroep +2

The next frontier for immersive applications is enabling sentience over the Internet. Tactile Internet (TI) envisages transporting skills by providing Ultra-Low Latency (ULL) commu…

cs.LG2021

Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey

Amjad Yousef Majid, Serge Saaybi, Tomas van Rietbergen +3

Deep Reinforcement Learning (DRL) and Evolution Strategies (ESs) have surpassed human-level control in many sequential decision-making problems, yet many open challenges still exis…

cs.IT2021

Energy Efficient Data Recovery from Corrupted LoRa Frames

Niloofar Yazdani, Nikolaos Kouvelas, R Venkatesha Prasad +1

High frame-corruption is widely observed in Long Range Wide Area Networks (LoRaWAN) due to the coexistence with other networks in ISM bands and an Aloha-like MAC layer. LoRa's Forw…

cs.NI20212 cited

ETVO: Effectively Measuring Tactile Internet with Experimental Validation

H. J. C. Kroep, V. Gokhale, J. Verburg +1

The next frontier in communications is teleoperation -- manipulation and control of remote environments with feedback. Compared to conventional networked applications, teleoperatio…

cs.RO2021

FEEL: Fast, Energy-Efficient Localization for Autonomous Indoor Vehicles

Vineet Gokhale, Gerardo Moyers Barrera, R. Venkatesha Prasad

Autonomous vehicles have created a sensation in both outdoor and indoor applications. The famous indoor use-case is process automation inside a warehouse using Autonomous Indoor Ve…

q-bio.PE202068 cited

A simple Stochastic SIR model for COVID 19 Infection Dynamics for Karnataka: Learning from Europe

Ashutosh Simha, R. Venkatesha Prasad, Sujay Narayana

In this short note we model the region-wise trends of the evolution to COVID-19 infections using a stochastic SIR model. The SIR dynamics are expressed using \textit{Itô-stochastic…