Recently, there have been many studies attempting to take advantage of advancements in
Artificial Intelligence (AI) in Analog and Mixed-Signal (AMS) circuit design. Automated circuit …

Analog integrated circuit design is widely considered a time-consuming task due to the
acute dependence of analog performance on the transistors' and passives' dimensions. An …

The presented paper introduces an accurate approach for detecting and classifying
parametric or soft faults that affect analog integrated circuits. This technique is based on the …

Machine Learning (ML) has shown promising results in predicting the behavior of analog
circuits. However, in order to completely cover the design space for today's complicated …

The use of machine learning-based techniques has expanded to many areas that require
optimization. One of such area is Integrated Circuit (IC) design and sizing optimization …

Bandgap reference (BGR) circuits play a crucial role as voltage reference generators for
other components within a variety of analog integrated circuits. Therefore, their power supply …

In this paper, a compact microstrip forward broadside coupler (MFBC) with high coupling
level is proposed in the frequency band of 3.5 3.8 GHz. The coupler is composed of two …

Wafer map defect pattern classification using convolutional neural network (CNN) has
gained a lot of attention in recent years but it demands huge computation and memory cost …

The design of integrated circuits (ICs) in the analog spectrum is intricate due to the signals'
continuous nature. Additionally, it is strongly affected by the physical implementation of their …

Millimeter-wave and Terahertz communications consist of complex analog and mixed-signal
transceivers where overall system performance is often limited by the weakest performing …