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 thesis presents a method for improving the efficiency of lip reading through the analysis of keyframes using CNN and LSTM working together, which combines the characteristics of image-based learning with sequential ...

This thesis has synthesized and designed the synthesis and design of an electronically controlled sinusoidal quadrature oscillator using commercially available ICs. The aim is to develop a current quadrature sinusoidal ...

This thesis synthesized and designed a modulated width pulse circuit using a current mode Three-phase Analog Space Vector Signal Generation Technique. The aim is to develop pulse width modulation and enhance the efficiency ...

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 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 ...

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 ...

This thesis synthesizes and designs an electronically tunable current mode Schmitt Trigger circuit. The circuit enables independent adjustment of the output amplitude and upper/lower threshold current without affecting ...

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 ...

At present, Deep Learning has gained widespread popularity and is applied in various fields such as image classification, object detection, and artificial intelligence systems. However, the high computational complexity ...