Health-care monitoring of patient using cnn based model in internet of things
BD Parameshachari, KL Hemalatha… - 2023 International …, 2023 - ieeexplore.ieee.org
There is rising public concern about exposure to radiofrequency (RF) electromagnetic fields
(EMF) as more and more wireless communications become concentrated in everyday living …
(EMF) as more and more wireless communications become concentrated in everyday living …
Dnnara: A deep neural network accelerator using residue arithmetic and integrated photonics
Deep Neural Networks (DNNs) are currently used in many fields, including critical real-time
applications. Due to its compute-intensive nature, speeding up DNNs has become an …
applications. Due to its compute-intensive nature, speeding up DNNs has become an …
A deep neural network accelerator using residue arithmetic in a hybrid optoelectronic system
The acceleration of Deep Neural Networks (DNNs) has attracted much attention in research.
Many critical real-time applications benefit from DNN accelerators but are limited by their …
Many critical real-time applications benefit from DNN accelerators but are limited by their …
Output-directed dynamic quantization for DNN acceleration
Quantization is an effective technique for reducing the number of computations and
improving the performance of deep neural networks (DNNs). Weight quantization is popular …
improving the performance of deep neural networks (DNNs). Weight quantization is popular …
Soldier Health Detection and Position Tracking System using LoRaWAN Sensor for Low Power and Long-Range Access
B Veerasamy, BG Durga, THM Kumaran… - … on Trends in …, 2023 - ieeexplore.ieee.org
This study intends to design and develop a novel low-power, long-range, and user-friendly
tracking system for soldiers. Currently, Soldiers are experiencing a number of challenges …
tracking system for soldiers. Currently, Soldiers are experiencing a number of challenges …