Deep learning (DL) is an efficient method for botnet attack detection. However, the volume of
network traffic data and memory space required is usually large. It is, therefore, almost …

In this paper, an Internet of Things (IoT)-based water supply management/monitoring model
has been proposed which works in real time, real environment and guarantee sufficient …

Water is a fundamental and essential requirement for human existence, as nearly 70% of
our body is constituted with water. Consumption of deteriorated water quality can lead to the …

The optimum use of water requires an effective water supply management system that is
smart enough to measure the flow rate, estimate consumption, estimate stored water, detect …

In this study, we explore diverse CMOS instrumentation amplifier designs tailored for
industrial and biomedical applications, culminating in an enhanced version with superior …

This paper presents an analysis of the design of a programmable gain amplifier (PGA)
based on an instrumentation amplifier. The instrumentation amplifier can be implemented in …

This paper presents an overview of design techniques to reduce the capacitance spread of
SC notch filters. Three of these techniques are used in the design of a 50‐Hz notch filter …

Diagnostic testing plays an important role in modern medicine, hel** physicians make
informed decisions regarding disease diagnosis and treatment. Proteins' biomarkers are …

This paper presents the design of a low-noise capacitively-coupled instrumentation amplifier
with a sub-1V power supply, which is suitable for low-power sensor data acquisition …

Electrical impedance spectroscopy (EIS) is a powerful technology for accurate disease
detection at the point-of-care (POC) from biosensors. Nevertheless, EIS usually involves lock …