Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Priyabrata Saha"'
Autor:
Priyabrata Saha, Saibal Mukhopadhyay
Publikováno v:
IEEE Access, Vol 9, Pp 64200-64210 (2021)
In this paper, we consider the problem of learning prediction models for spatiotemporal physical processes driven by unknown partial differential equations (PDEs). We propose a deep learning framework that learns the underlying dynamics and predicts
Externí odkaz:
https://doaj.org/article/c97e6af36de5413693c3d44341bc8cfa
Autor:
Yun Long, Daehyun Kim, Edward Lee, Priyabrata Saha, Burhan Ahmad Mudassar, Xueyuan She, Asif Islam Khan, Saibal Mukhopadhyay
Publikováno v:
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, Vol 5, Iss 2, Pp 113-122 (2019)
This paper presents a ferroelectric FET (FeFET)-based processing-in-memory (PIM) architecture to accelerate the inference of deep neural networks (DNNs). We propose a digital in-memory vector-matrix multiplication (VMM) engine design utilizing the Fe
Externí odkaz:
https://doaj.org/article/ec3fbcac1e48427e98310e960cca5079
Publikováno v:
Sensors, Vol 21, Iss 8, p 2610 (2021)
Deep Neural Network (DNN) systems tend to produce overconfident or uncalibrated outputs. This poses problems for active sensor systems that have a DNN module as the main feedback controller. In this paper, we study a closed-loop feedback smart camera
Externí odkaz:
https://doaj.org/article/efb0087dfeab4df3892cfaf6013bb35a
Publikováno v:
IEEE Robotics and Automation Letters. 8:248-255
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4419b7f10fbd36a247a3138f7846f633
https://doi.org/10.1109/lra.2022.3225739
https://doi.org/10.1109/lra.2022.3225739
Autor:
Jihui Jin, Priyabrata Saha, Nicholas Durofchalk, Saibal Mukhopadhyay, Justin Romberg, Karim G. Sabra
Publikováno v:
The Journal of the Acoustical Society of America. 152:3768-3788
Underwater sound propagation is primarily driven by a nonlinear forward model relating variability of the ocean sound speed profile (SSP) to the acoustic observations (e.g., eigenray arrival times). Ocean acoustic tomography (OAT) methods aim at reco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b8acce6b931f8575d3e6686a5dd2551
https://doi.org/10.1121/10.0016498
https://doi.org/10.1121/10.0016498
Publikováno v:
IEEE Transactions on Intelligent Vehicles. 7:102-112
Autonomous mobile systems such as vehicles or robots are equipped with multiple sensor modalities including Lidar, RGB, and Radar. The fusion of multi-modal information can enhance task accuracy but indiscriminate sensing and fusion in all modality i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::921bd394fccff3e41ebf7d6edfc9ef9f
https://doi.org/10.1109/tiv.2021.3087664
https://doi.org/10.1109/tiv.2021.3087664
Autor:
Priyabrata Saha, Saibal Mukhopadhyay
Publikováno v:
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences. 380(2229)
In this paper, we address the problem of predicting complex, nonlinear spatiotemporal dynamics when available data is recorded at irregularly-spaced sparse spatial locations. Most of the existing deep learning models for modeling spatiotemporal dynam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::deb539cf1ce5e2a281b345546c42ac27
https://pubmed.ncbi.nlm.nih.gov/35719071
https://pubmed.ncbi.nlm.nih.gov/35719071
Autor:
Mandovi Mukherjee, Saibal Mukhopadhyay, Priyabrata Saha, Minah Lee, Edward Lee, Taesik Na, Mohammad Faisal Amir
Publikováno v:
IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 10:444-457
Digital pixel based image sensors with embedded deep neural network (DNN) allow many mission critical surveillance applications. However, image noise caused by variations and non-idealities in the sensor aggravates the quality of image and further de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2457a898949de3703885977dba4eddc1
https://doi.org/10.1109/jetcas.2020.3031869
https://doi.org/10.1109/jetcas.2020.3031869
Multispectral Information Fusion With Reinforcement Learning for Object Tracking in IoT Edge Devices
Autor:
Priyabrata Saha, Saibal Mukhopadhyay
Publikováno v:
IEEE Sensors Journal. 20:4333-4344
With recent advances in sensor technology, multispectral systems are becoming increasingly attractive for intelligence, surveillance, and reconnaissance applications. Fusing information from multiple imaging modalities is a major task for such system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e37716bf21d7185e410d1138ee7771af
https://doi.org/10.1109/jsen.2019.2962834
https://doi.org/10.1109/jsen.2019.2962834
Autor:
Karim G. Sabra, Jihui Jin, Priyabrata Saha, Nicholas Durofchalk, Justin Romberg, Saibal Mukhopadhyay
Publikováno v:
The Journal of the Acoustical Society of America. 152:A159-A159
Underwater sound propagation is primarily driven by a non-linear forward model relating variability of the ocean sound speed profile (SSP) to the acoustic observations (e.g., eigenray arrival times). Ocean acoustic tomography (OAT) methods aim at rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b983a82548b22b5aa6864d7531744da2
https://doi.org/10.1121/10.0015881
https://doi.org/10.1121/10.0015881