This thesis presents a sensorless vector control approach for three-phase induction motor (IM) drive systems in electric vehicles, utilizing a novel control architecture that integrates a model reference adaptive system ...

This thesis presents the design and development of a readout circuit for ISFET sensors, aiming for a wide reference voltage range, high linearity, and low power consumption. The ISFET sensor readout circuit consists of two ...

This thesis present the development of automatic sleep stage detection by using physiological signals. We aim to develop an application to assist drivers after drowsiness or fatigue detection by a commercial driver vigilance ...

This thesis presents a method to remove rain from the image. It is divided into light rain and heavy rain, which have different methods of removing rain. Because there are two ways to remove the rain. Precipitation separation ...

This research aims to develop a new neuroevolution algorithm and apply the results, a group of convolutional neural networks to create intelligent agents to play computer games. The first part of the thesis presents a ...

This thesis designed and developed a deep learning model to create Thai image captions using Convolutional Neural Network (CNN) such as VGG16 and others to extract image features and use Bidirectional LSTM is used to create ...

This thesis presents the synthesis and design of an electronically tunable three input single out put fully differential universal filter employing commercially available ICs. The proposed circuit performs five filtering ...

This article presents the design of a high-order Chebyshev notch filter using a Multiple Output Current Controlled Conveyor (MO-CCCII). In this design process, the low-pass Chebyshev filter with a high order RLC prototype ...

In this research, we propose the method using the island-based genetic algorithm (ISLGA) to automatically optimize the hyper-parameter of deep neural networks (DNNs). The ISLGA overall process is the same as a common genetic ...

This thesis presents an evolutionary multi-objective optimization approach for designing Vision transformer architectures, focusing on the impact of two genetic crossover operators—two-point crossover and uniform crossover—on ...