Recent Advances in Computer Science and Communications - Volume 16, Issue 4, 2023

Background: Spectrum is the backbone for wireless communications, including internet services. Nowadays, the business of industries providing wired communication is constant while the business of industries dealing with wireless communications is growing very fast. There is a large demand for radio spectrum for new wireless multimedia services. Although the present fixed spectrum allotment schemes do not cause Read More

Background: In this research, a novel algorithm is formulated through the combination of gradient and adaptive thresholding. A set of 5 x 5 convolution kernels were generated to determine the gradients in the four main directions of the image. Objectives: The researcher converted the gaussian equation into a normalized kernel, which was convolved with the gradients to suppress the impact of noise. Methods: The edge Read More

This research is conducted to study a fuzzy system with an improved rule base. The rule base is an important part of any fuzzy inference system designed. The rules of a fuzzy system depend on the number of features selected. Selecting an optimized number of features is called feature selection. All features (parameters) play an important role in the input to the system, but they have a different impact on the system per Read More

Background: External noise is a necessary factor for calculating the signal-to-noise ratio and evaluating communication quality and is one of the important parameters when designing low-frequency communication schemes or evaluating low-frequency signal quality. Methods: To study the radio noise distribution of each frequency point within the low-frequency band from 40kHz to 80kHz in a typical Southern China region a Read More

Background: Faced with the global threat posed by SARS-CoV-2 (COVID-19), lowdose computed tomography (LDCT), as the primary diagnostic tool, is often accompanied by high levels of noise. This can easily interfere with the radiologist's assessment. Convolutional neural networks (CNN), as a method of deep learning, have been shown to have excellent effects in image denoising. Objective: The objective of the study was to us Read More