Review on compressive sensing algorithms for ECG signal for IoT based deep learning framework
SS Kumar, P Ramachandran - Applied Sciences, 2022 - mdpi.com
Nowadays, healthcare is becoming very modern, and the support of Internet of Things (IoT)
is inevitable in a personal healthcare system. A typical personal healthcare system acquires …
is inevitable in a personal healthcare system. A typical personal healthcare system acquires …
Various crop yield prediction techniques using machine learning algorithms
Agriculture is the third most contributing sector in the Indian Gross Domestic Product (GDP).
Selecting right crop for the right soil at the right season plays a major role in getting good …
Selecting right crop for the right soil at the right season plays a major role in getting good …
Semiconductor superlattice physical unclonable function based two-dimensional compressive sensing cryptosystem and its application to image encryption
Most image encryption methods are symmetric cryptosystems, in which the encryptor and
decryptor are required to share the same key. To reduce the risk of key generation and key …
decryptor are required to share the same key. To reduce the risk of key generation and key …
Implementation and evaluation of vision-based sensor image compression for close-range photogrammetry and structural health monitoring
L Ngeljaratan, MA Moustafa - Sensors, 2020 - mdpi.com
Much research is still underway to achieve long-term and real-time monitoring using data
from vision-based sensors. A major challenge is handling and processing enormous amount …
from vision-based sensors. A major challenge is handling and processing enormous amount …
An analysis on fraud detection in credit card transactions using machine learning techniques
Today, digitization is turning popular because of the ease and convenience of utilizing e-
commerce. People are selecting on-line payments and electronic shopping due to the …
commerce. People are selecting on-line payments and electronic shopping due to the …
A comprehensive review on compressive sensing
C Shaik, R RajaA, SS Kalapala… - … on Applied Artificial …, 2022 - ieeexplore.ieee.org
Sparse sampling, also known as compressed sampling or compressed sensing (CS), is a
new signal processing technique that samples the signal with considerably fewer samples …
new signal processing technique that samples the signal with considerably fewer samples …
Compression of electrocardiogram signals using compressive sensing technique based on curvelet transform toward medical applications
AMA Hassan, S Mohsen - Multimedia Tools and Applications, 2024 - Springer
Electrocardiogram (ECG) signals can be monitored from many patients based on healthcare
systems. To enhance these systems, the ECG signals should be collected and then stored in …
systems. To enhance these systems, the ECG signals should be collected and then stored in …
Biomedical image classification using convolutional neural networks
Recent research trends in the field image processing have focussed on challenges and few
techniques for processing and classification tasks related to it. Image classification aims at …
techniques for processing and classification tasks related to it. Image classification aims at …
ICRICS: iterative compensation recovery for image compressive sensing
Closed-loop architecture is widely utilized in automatic control systems and attains
distinguished dynamic and static performance. However, classical compressive sensing …
distinguished dynamic and static performance. However, classical compressive sensing …
[PDF][PDF] 一种适用于北极双轴声道的改进压缩匹配场定位算法研究
吕玉娇， 刘崇磊， 张扬帆， 黄海宁 - 电子与信息学报, 2022 - jeit.ac.cn
北极水域信道特殊, 匹配场处理作为一类可结合环境信息进行信号处理的目标定位方法,
在模型匹配时可以准确估计出声源位置, 但存在环境变化复杂且信息了解少的问题 …
在模型匹配时可以准确估计出声源位置, 但存在环境变化复杂且信息了解少的问题 …