User profiles for Swaraj Kumar
 | Swaraj KumarSamsung Research Verified email at nsit.net.in Cited by 108 |
Strategies for enhancing training and privacy in blockchain enabled federated learning
Several recent advances in Federated Learning have made it possible for researchers to
train their models on private data present on contributing devices without compromising their …
train their models on private data present on contributing devices without compromising their …
Radio map estimation using a generative adversarial network and related business aspects
SK Vankayala, S Kumar, I Roy… - 2021 24th …, 2021 - ieeexplore.ieee.org
Radio maps are widely used in the network resource management of 5G communication
systems. However, a frequent radio map update is expensive and inefficient in practice …
systems. However, a frequent radio map update is expensive and inefficient in practice …
Continual learning-based channel estimation for 5g millimeter-wave systems
Accurate channel estimation in the millimeter-wave (mmWave) based wireless communication
systems is challenging and involves a lot of computational costs. The mmWave frequency …
systems is challenging and involves a lot of computational costs. The mmWave frequency …
Efficient deep-learning models for future blockage and beam prediction for mmwave systems
Massive multiple-input multiple-output (mMIMO) and millimeter waves (mmWaves) are
considered to be key technologies for 5G and beyond wireless communications. Massive-MIMO …
considered to be key technologies for 5G and beyond wireless communications. Massive-MIMO …
Combining PV MPPT algorithm based on temperature measurement with a PV cooling system
K Swaraj, A Mohapatra… - … Conference on Signal …, 2016 - ieeexplore.ieee.org
The photovoltaic (PV) module efficiency is affected by environmental conditions, particularly
by changing solar insolation and temperature conditions. This paper presents a temperature …
by changing solar insolation and temperature conditions. This paper presents a temperature …
Csi feedback prediction using ue aware sparse neural network framework
S Singh, S Kumar, RK Saha… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
In wireless communication systems, especially in the frequency division duplex (FDD) mode
of massive MIMO, the channel state information (CSI) information is not available at the …
of massive MIMO, the channel state information (CSI) information is not available at the …
SMASH: Supervised ML-based adaptive selection of HTTP protocols
S Kumar, MR Kanagarathinam… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
This paper presents a novel system and method for optimizing the selection of HTTP
protocols, specifically QUIC and TCP, using machine learning techniques to enhance the …
protocols, specifically QUIC and TCP, using machine learning techniques to enhance the …
[HTML][HTML] Optimal thermochemical material selection for a hybrid thermal energy storage system for low temperature applications using multi criteria optimization …
BS Kumar, J Varghese, J Jacob - Materials Science for Energy …, 2022 - Elsevier
Thermochemical energy storage is one of the viable solutions for the increasing energy
demand because of its high energy density and less heat loss during the storage phase …
demand because of its high energy density and less heat loss during the storage phase …
Recurrent neural network architecture for communication log analysis
Cloud computing infrastructure is an integral part of wireless communication applications,
such as vRANs. Given the pervasive use of cloud computing, keeping track of its health is of …
such as vRANs. Given the pervasive use of cloud computing, keeping track of its health is of …
Skidnet: Skip image denoising network for x-rays
Medical imaging has evolved to become an essential tool for screening and diagnosing
diseases, but they have certain limitations just like every other technology. X-rays, which is one …
diseases, but they have certain limitations just like every other technology. X-rays, which is one …