most citedIoT Solutions with Multi-Sensor Fusion and Signal-Image Encoding for Secure Data Transfer and Decision Making

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

collaborators

6 papers

cs.MA2022

Distributed Cooperative Multi-Agent Reinforcement Learning with Directed Coordination Graph

Gangshan Jing, He Bai, Jemin George +2

Existing distributed cooperative multi-agent reinforcement learning (MARL) frameworks usually assume undirected coordination graphs and communication graphs while estimating a glob…

cs.LG20213 cited

Heterogeneous Noisy Short Signal Camouflage in Multi-Domain Environment Decision-Making

Piyush K. Sharma

Data transmission between two or more digital devices in industry and government demands secure and agile technology. Digital information distribution often requires deployment of…

eess.SP20216 cited

IoT Solutions with Multi-Sensor Fusion and Signal-Image Encoding for Secure Data Transfer and Decision Making

Piyush K. Sharma, Mark Dennison, Adrienne Raglin

Deployment of Internet of Things (IoT) devices and Data Fusion techniques have gained popularity in public and government domains. This usually requires capturing and consolidating…

cs.LG20215 cited

Investigating Manifold Neighborhood size for Nonlinear Analysis of LIBS Amino Acid Spectra

Piyush K. Sharma, Gary Holness, Poopalasingam Sivakumar +2

Classification and identification of amino acids in aqueous solutions is important in the study of biomacromolecules. Laser Induced Breakdown Spectroscopy (LIBS) uses high energy l…

cs.CV20213 cited

Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts

Soravit Changpinyo, Piyush Sharma, Nan Ding +1

The availability of large-scale image captioning and visual question answering datasets has contributed significantly to recent successes in vision-and-language pre-training. Howev…

eess.SY2021

Learning Distributed Stabilizing Controllers for Multi-Agent Systems

Gangshan Jing, He Bai, Jemin George +2

We address the problem of model-free distributed stabilization of heterogeneous multi-agent systems using reinforcement learning (RL). Two algorithms are developed. The first algor…