activity
20092021
most citedEmploying Deep Learning for Detection of Gravitational Waves from Compact Binary Coalescences

7 citations · 17 across the 6 of their papers we have counts for

collaborators

6 papers

cs.NI2021★ 3 cited

Hybrid Self-Organizing Networks: Evolution, Standardization Trends, and a 6G Architecture Vision

Abdelaali Chaoub, Aarne Mämmelä, Pedro Martinez-Julia +6

Self-organizing networks (SONs) need to be endowed with self-coordination capabilities to manage the complex relations between their internal components and to avoid their destruct…

gr-qc2021★ 7 cited

Employing Deep Learning for Detection of Gravitational Waves from Compact Binary Coalescences

Chetan Verma, Amit Reza, Dilip Krishnaswamy +2

The matched filtering paradigm is the mainstay of gravitational wave (GW) searches from astrophysical coalescing compact binaries. The compact binary coalescence (CBC) search pipel…

gr-qc2018★ 4 cited

Random projections in gravitational wave searches of compact binaries

Sumeet Kulkarni, Khun Sang Phukon, Amit Reza +4

Random projection (RP) is a powerful dimension reduction technique widely used in the analysis of high dimensional data. We demonstrate how this technique can be used to improve th…

cs.IT2017

Energy-aware Mode Selection for Throughput Maximization in RF-Powered D2D Communications

Deepak Mishra, Swades De, George C. Alexandropoulos +1

Doubly-near-far problem in RF-powered networks can be mitigated by choosing appropriate device-to-device (D2D) communication mode and implementing energy-efficient information tran…

cs.NI2009★ 1 cited

AWiMA: An architecture for Adhoc Wireless Mobile internet Access

Dilip Krishnaswamy

This paper suggests a system architecture for wireless widearea- networking access using adhoc networking between a mobile Client node without direct connectivity to a wirelesswide…

cs.NI2009★ 2 cited

Network-aware Adaptation with Real-Time Channel Statistics for Wireless LAN Multimedia Transmissions in the Digital Home

Dilip Krishnaswamy, Shanyu Zhao

This paper suggests the use of intelligent network-aware processing agents in wireless local area network drivers to generate metrics for bandwidth estimation based on real-time ch…