The rapid evolution of wireless communication technologies, notably the transi tion from 4G to 5G, has driven the need for advanced antenna systems to meet growing demands for seamless connectivity and enhanced performance. ...

Speech Bandwidth Extension (SBE) remains a challenging task in speech pro cessing. It involves the intricate process of estimating missing frequency com ponents in low-resolution signals to reconstruct high-resolution ...

Since brain tumors have a variety of forms, it is crucial to determine the types of tumors. The convolutional neural network (CNN) can extract features automatically with high-performance accuracy. The inability of ...

Satellite image classification is crucial for various applications, driving advancements in Convolution Neural Networks (CNNs). While CNNs have proven effective, deep models often encounter overfitting issues as the network's ...

A high-gain array antenna is proposed using cavity-backed technology with the help of Substrate Integrated Waveguide Technology. The joint combination of both patch and the cavity-backed antenna is also known as a hybrid ...

Brain tumors are frequently classified with high accuracy using convolutional neural networks (CNNs) and better comprehend the spatial connections among pixels in complex pictures. Due to their tiny receptive fields, the ...

In this paper, a linear polarization switchable patch array antenna is proposed. The orthogonal feed circuit and magic-T circuit is introduced to realize the proposed array antenna. The advantage of the magic-T circuit is ...

This paper is based on a circular polarized microstrip patch antenna which is designed for microwave power transmission with resonating frequency of 5.8 GHz. The radiating patch of the antenna is based on a dual feed ...

Speaker recognition is considered as a behavioral biometric to identify speaker’s identity based on their voice features. In this study, a new speaker identification system is proposed using the neural responses at the ...