output
20082026
most citedTen Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art

168 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.NIShow all

6 papers · 1 filter

cs.NI2021

Predictive Dynamic Scaling Multi-Slice-in-Slice-Connected Users for 5G System Resource Scheduling

Sharvari Ravindran, Saptarshi Chaudhuri, Jyotsna Bapat +1

Network slicing is an effective 5G concept for improved resource utilization and service scalability tailored to users (UEs) requirements. According to the standardization, 5G syst…

cs.NI2021★ 4 cited

Optimization Results for 5G Slice-in-Slice Scheduling

Sharvari Ravindran, Saptarshi Chaudhuri, Jyotsna Bapat +1

Open Radio Access Network (ORAN) Slicing for 5G and Beyond is an emerging architecture and feature that will facilitate challenging RAN Service Level Agreement (SLA) assurance targ…

cs.NI2021

A Data Augmented Bayesian Network for Node Failure Prediction in Optical Networks

Dibakar Das, Mohammad Fahad Imteyaz, Jyotsna Bapat +1

Failures in optical network backbone can cause significant interruption in internet data traffic. Hence, it is very important to reduce such network outages. Prediction of such fai…

cs.NI2021

A Non-intrusive Failure Prediction Mechanism for Deployed Optical Networks

Dibakar Das, Mohammad Fahad Imteyaz, Jyotsna Bapat +1

Failures in optical network backbone can lead to major disruption of internet data traffic. Hence, minimizing such failures is of paramount importance for the network operators. Ev…

cs.NI2013

Cell-Level Modeling of IEEE 802.11 WLANs

Manoj Panda, Anurag Kumar

We develop a scalable \textit{cell-level} analytical model for multi-cell infrastructure IEEE 802.11 WLANs under a so-called Pairwise Binary Dependence (PBD) condition. The PBD con…

cs.NI2010★ 4 cited

An Efficient Hidden Markov Model for Offline Handwritten Numeral Recognition

B. S. Saritha, S. Hemanth

Traditionally, the performance of ocr algorithms and systems is based on the recognition of isolated characters. When a system classifies an individual character, its output is typ…