Abstract Micro Electro Mechanical System (MEMS) technology revolutionized electronics by
enabling miniaturization and integration of components like sensors, actuators, & switches …

Electrocardiogram (ECG) is a vital signal, used to identify cardiovascular diseases like
arrhythmias, heart attacks and coronary heart diseases. The classification of ECG signals …

In designing and developing high-speed digital circuits it is important to develop a switch on
a transmission line having higher phase velocity, low insertion loss and high isolation. An …

Design optimization is a fundamental task underpinning the remarkable microwave
response of Radio Frequency Microelectromechanical Systems (RF MEMS). The present …

In this paper, a touch less automated face recognition system for smart attendance
application was designed using convolutional neural network (CNN). The presented touch …

The tremendous growth in data inside the Big data era has created data management
challenges as well as data security concerns. These large data cyber security challenges …

This paper presents the study of electrocardiogram (ECG) signals analysis using
convolution neural networks (CNNs) to avoid uncertainty in classification. MIT-BIH ECG …

In the era of high precision and technology, the usage of transistors in the electronic devices
has been normal. The transistors are generally the semiconductor devices that are used to …

Daily cardiac health monitoring can benefit from the automatic identification of irregular heart
rhythms from electrocardiogram (ECG) signal. A vibrant ECG signal is used to detect cardiac …

In today's scenario, we can notice that memory takes up more than 85% of the available chip
space. For all integrated devices from computers to various handheld devices, there is high …