An IOT and blockchain approach for food traceability system in agriculture
The food holds a major role and at the worldwide level in human lives and societies, the
agriculture sector is known to be a major employer. In all the developing countries, food …
agriculture sector is known to be a major employer. In all the developing countries, food …
Context-Aware Edge-Based AI Models for Wireless Sensor Networks—An Overview
Recent advances in sensor technology are expected to lead to a greater use of wireless
sensor networks (WSNs) in industry, logistics, healthcare, etc. On the other hand, advances …
sensor networks (WSNs) in industry, logistics, healthcare, etc. On the other hand, advances …
An efficient priority‐based convolutional auto‐encoder approach for electrocardiogram signal compression in Internet of Things based healthcare system
RK Mahendran, P Velusamy… - Transactions on …, 2021 - Wiley Online Library
Due to advancements in healthcare monitoring systems, the Internet of Things concepts are
proficiently utilized in the medical field to detect and diagnose the physical health problems …
proficiently utilized in the medical field to detect and diagnose the physical health problems …
Intelligent coordination distribution of the whole supply chain based on the internet of things
H Cui - Complexity, 2021 - Wiley Online Library
In this paper, through the intelligent research of the whole process of logistics and
distribution with the Internet of Things supply chain, we study how to improve the …
distribution with the Internet of Things supply chain, we study how to improve the …
Real-time ECG signal acquisition and monitoring for sports competition process oriented to the Internet of Things
W Lv, J Guo - Measurement, 2021 - Elsevier
This article first learns the principle of ECG signal acquisition and understands the Bluetooth
data transmission method. In terms of signal acquisition methods, research advanced …
data transmission method. In terms of signal acquisition methods, research advanced …
Classical and quantum compression for edge computing: the ubiquitous data dimensionality reduction
Edge computing aims to address the challenges associated with communicating and
transferring large amounts of data generated remotely to a data center in a timely and …
transferring large amounts of data generated remotely to a data center in a timely and …
Hardware-guided symbiotic training for compact, accurate, yet execution-efficient LSTM
Many long short-term memory (LSTM) applications need fast yet compact models. Neural
network compression approaches, such as the grow-and-prune paradigm, have proved to …
network compression approaches, such as the grow-and-prune paradigm, have proved to …
A Design space exploration methodology for enabling tensor train decomposition in edge devices
Abstract Deep Neural Networks (DNN) have made significant advances in various fields,
including speech recognition and image processing. Typically, modern DNNs are both …
including speech recognition and image processing. Typically, modern DNNs are both …
Investigation of the impact of routing protocol in green IoT with netsim
MFB Lakarani, ABAB Sajak… - 2022 1st International …, 2022 - ieeexplore.ieee.org
Technology evolution nowadays moves vigorously to improve daily human life and directly
affect the earth's resource consumption. Reducing energy consumption leads to reducing …
affect the earth's resource consumption. Reducing energy consumption leads to reducing …
Exchange bias model including setting process: Investigation of antiferromagnetic alignment fraction due to thermal activation
R Khamtawi, W Daeng-Am, P Chureemart… - Journal of Applied …, 2023 - pubs.aip.org
An exchange bias (EB) model taking the setting process into account is developed to study
the effect of the crucial parameters, such as the AFM anisotropy constant ( KAF), the …
the effect of the crucial parameters, such as the AFM anisotropy constant ( KAF), the …