Concepedia

Akshay Rangamani

AR

Statistics

Publications

9

Citations

303

H-Index

9

Active since

2018

Affiliations

Johns Hopkins University(Current)

Applied Research (United States)

Massachusetts Institute of Technology

Google (United States)

Akshay Rangamani is an author at Johns Hopkins University specializing in deep learning, computing, and computer science.

Publications per year

2018–2023

9

Publications

9

Automated software vulnerability detection with machine learning

Jacob Harer, Louis Y. Kim, Rebecca L. Russell et al. · arXiv (Cornell University) · 2018 · 133 citations · Full text

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Deep Learning-Based Target Tracking and Classification for Low Quality Videos Using Coded Aperture Cameras

Chiman Kwan, Bryan Chou, Jonathan T. Yang et al. · Sensors · 2019 · 33 citations · Full text

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Real-Time and Deep Learning Based Vehicle Detection and Classification Using Pixel-Wise Code Exposure Measurements

Chiman Kwan, David Gribben, Bryan Chou et al. · Electronics · 2020 · 31 citations · Full text

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Target Tracking and Classification Using Compressive Measurements of MWIR and LWIR Coded Aperture Cameras

Chiman Kwan, Bryan Chou, Jonathan T. Yang et al. · Journal of Signal and Information Processing · 2019 · 23 citations · Full text

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Target tracking and classification using compressive sensing camera for SWIR videos

Chiman Kwan, Bryan Chou, Jonathan T. Yang et al. · Signal Image and Video Processing · 2019 · 21 citations · Full text

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