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. ...
Convolutional Neural Network (CNN) is widely used for handwritten Bangla
and English digit recognition. The problem with the conventional CNN is that it
has an intricate and time-consuming convolution process to create ...
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 ...
An Inverted L-C-shape EBG antenna is presented for C-band application in
communication technology in this thesis. An Epsilon Negative (ENG) Material is
used for an effective antenna design.FR-4 material is used as a ...
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 ...
Identifying defective semiconductor wafers is a crucial and complicated aspect
of the manufacturing process. Developed systems confront difficulties in
capturing intricate defect patterns and the long-range relationship ...
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 ...
This manuscript proposes one single-feed dual-beam switchable array antenna and one single-feed multi-beam switchable array antenna. The proposed antenna contains three and four microstrip square patch antenna elements and ...
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 ...
The terminal node antenna of a wireless communication device should possess
the ability to perform many roles since modern communication necessitates the
adoption of advanced approaches to address the rapidly evolving ...
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 ...
As a non-invasive neuromodulation technique, transcranial magnetic stimulation (TMS) has already exhibited a great impact in clinical applications and scientific researches. For finding new clinical applications of TMS, ...