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20122026
most citediGLU 2.0: A new non-invasive, accurate serum glucometer for smart healthcare

123 citations · 362 across the 41 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

eess.SP2019★ 94 cited

iGLU 1.0: An Accurate Non-Invasive Near-Infrared Dual Short Wavelengths Spectroscopy based Glucometer for Smart Healthcare

Prateek Jain, Amit M. Joshi, Saraju P. Mohanty

In the case of diabetes, fingertip pricking for a blood sample is inconvenient for glucose measurement. Invasive approaches like laboratory test and one-touch glucometer enhance th…

cs.DC2019

Alleviating Bottlenecks for DNN Execution on GPUs via Opportunistic Computing

Xianwei Cheng, Hui Zhao, Mahmut Kandemir +2

Edge computing and IoT applications are severely constrained by limited hardware resource. This makes memory consuming DNN frameworks not applicable to edge computing. Simple algor…

cs.CR2019

PUFchain: Hardware-Assisted Blockchain for Sustainable Simultaneous Device and Data Security in the Internet of Everything (IoE)

Saraju P. Mohanty, Venkata P. Yanambaka, Elias Kougianos +1

This article presents the first-ever blockchain which can simultaneously handle device and data security, which is important for the emerging Internet-of-Everything (IoE). This art…

eess.SP2019★ 5 cited

cSeiz: An Edge-Device for Accurate Seizure Detection and Control for Smart Healthcare

Md Abu Sayeed, Saraju P. Mohanty, Elias Kougianos

Epilepsy is one of the most common neurological disorders affecting up to 1% of the world's population and approximately 2.5 million people in the United States. Seizures in more t…

eess.SP2019★ 1 cited

iVAMS 2.0: Machine-Learning-Metamodel-Integrated Intelligent Verilog-AMS for Fast and Accurate Mixed-Signal Design Optimization

Saraju P. Mohanty, Elias Kougianos

The gap between abstraction levels in analog design is a major obstacle for advancing analog and mixed-signal (AMS) design automation and computer-aided design (CAD). Intelligent m…

cs.AR2019★ 1 cited

iVAMS 1.0: Polynomial-Metamodel-Integrated Intelligent Verilog-AMS for Fast, Accurate Mixed-Signal Design Optimization

Saraju P. Mohanty, Elias Kougianos

Electronic circuit behavioral models built with hardware description/modeling languages such as Verilog-AMS for system-level simulations are typically functional models. They do no…