activity
20202024
most citedIntelligent fault diagnosis of worm gearbox based on adaptive CNN using amended gorilla troop optimization with quantum gate mutation strategy

66 citations · 95 across the 6 of their papers we have counts for

collaborators

7 papers

eess.SP2024★ 66 cited

Intelligent fault diagnosis of worm gearbox based on adaptive CNN using amended gorilla troop optimization with quantum gate mutation strategy

Govind Vashishtha, Sumika Chauhan, Surinder Kumar +3

The worm gearbox is a high-speed transmission system that plays a vital role in various industries. Therefore it becomes necessary to develop a robust fault diagnosis scheme for wo…

astro-ph.HE2023

H.E.S.S. realtime follow-ups of IceCube high-energy neutrino alerts

Federica Bradascio, Halim Ashkar, Jowita Borowska +5

The evidence for multi-messenger photon and neutrino emission from the blazar TXS 0506+056 has demonstrated the importance of realtime follow-up of neutrino events by various groun…

cs.CR2022

Blockchain for Unmanned Underwater Drones: Research Issues, Challenges, Trends and Future Directions

Neelu Jyoti Ahuja, Adarsh Kumar, Monika Thapliyal +5

Underwater drones have found a place in oceanography, oceanic research, bathymetric surveys, military, surveillance, monitoring, undersea exploration, mining, commercial diving, ph…

astro-ph.HE2021★ 13 cited

Baryonic dense matter in view of gravitational-wave observations

Vivek Baruah Thapa, Anil Kumar, Monika Sinha

The detection of gravitational waves from the merger of binary neutron stars events (GW170817, GW190425) and subsequent estimations of tidal deformability play a key role in constr…

cs.CL2020★ 12 cited

MA-DST: Multi-Attention Based Scalable Dialog State Tracking

Adarsh Kumar, Peter Ku, Anuj Kumar Goyal +2

Task oriented dialog agents provide a natural language interface for users to complete their goal. Dialog State Tracking (DST), which is often a core component of these systems, tr…

cs.LG2020★ 4 cited

Accelerating Deep Learning Inference via Freezing

Adarsh Kumar, Arjun Balasubramanian, Shivaram Venkataraman +1

Over the last few years, Deep Neural Networks (DNNs) have become ubiquitous owing to their high accuracy on real-world tasks. However, this increase in accuracy comes at the cost o…