Recent Advances in Electrical & Electronic Engineering - Volume 18, Issue 3, 2025

A review and analysis of digital image restoration are provided in this work. The goal of image restoration is to enhance the quality of an image by understanding the physical process that created it. The purpose of picture restoration is to cover up or correct flaws that lower an image's quality. Motion blur, noise, and difficulty focusing the camera are just a few examples of how degradation can manifest itself. When there is mot Read More

BackgroundThe image processing technology-can be adopted in the power transmission incident detection system, when it is combined with artificial intelligence and machine learning academic knowledge of power transmission surveillance video analysis system, it can automatically detect abnormal objects in the power transmission system. It can quickly and accurately detect abnormal objects, known as environmen Read More

IntroductionThe rise of ultra-high voltage AC grids creates corona noise, which is crucial for assessing transmission line environments.MethodsThis paper analyzes corona noise distribution around AC transmission lines using a 3D model for quantitative assessment. We employ the Finite Element Method, and factors like electric field intensity, conductor splitting, and sag are considered. Corona noise is calculated using CEPRI predi Read More

BackgroundThe accurate locating of fault sections in a distribution network can lay an effective foundation for the rapid processing of faults. However, the waveform of high-resistance grounding faults is relatively weak, which increases the difficulty of fault feature extraction and localization. In addition, the complex operating conditions and interference factors of the actual distribution network can affect the fault Read More

IntroductionLinear fractional differential equations of the commensurable order, specifically those related to fractional trigonometry, pose challenges in terms of analytical solutions.MethodsThe purpose of this article is to present a novel approximate analytical technique to solve linear fractional differential equations of the commensurable order, which are related to fractional trigonometry. This method is used to obtain Read More

BackgroundBreast cancer (BRCA) is the most frequently diagnosed cancer in women, with a rise in occurrences and fatalities. The field of BRCA prediction and diagnosis has witnessed significant advancements in recent years, particularly emphasizing enhanced computer-aided digital imaging techniques, and has emerged as a powerful ally in the prediction of BRCA through histopathology image analysis. A number of Read More

BackgroundThe global transition to green energy and the rapid development of Electric Vehicle (EV) technology, along with falling component costs, have fueled the growing popularity of electric vehicles. To support the widespread adoption of EVs, an efficient and user-friendly charging infrastructure is crucial.ObjectiveThis work aims to propose a comprehensive EV charging system that addresses the rising demand for Read More

BackgroundAccurate prediction of offshore wind power is the basis for promoting the safe and economic operation of offshore wind farms.ObjectiveThis paper proposes an uncertainty prediction learning model based on outlier processing, synchronous wavelet denoising and attention mechanism optimization to achieve accurate prediction of offshore wind power.MethodsFirstly, the isolated forest is adopted to Read More

BackgroundCircular antenna arrays are widely used in 5G, IoT, and beamforming applications of next-generation communications, however attaining the subsidiary lobes along with directivity is still a challenge. The array parameters could be estimated in real-time using a variety of standard approaches, but these methods would tends to lag in maintaining appropriate directivity and even a low side lobe level.Method Read More