Frequency-locked loops (FLLs) represent a viable way of generating a range of frequencies from a single reference frequency by using a negative feedback electronic control system that compares the frequency of a contr...
详细信息
As smart grids evolve, they will play an important role in shaping a more efficient, sustainable, and flexible power grid for the future. When planning to implement battery storage systems in distribution networks, co...
详细信息
To achieve high reliable of the licensed user detection of cognitive radio, the cooperative spectrum sensing requires a high reliable licensed user detection results from the unlicensed users to perform the cooperativ...
详细信息
IQ is one of the indicators that has always been of interest to psychiatrists, doctors and cognitive science researchers. Since this index plays a key role in people's lives and also in the occurrence of brain abn...
详细信息
The adoption of smart grids (SGs) has become increasingly popular due to their ability to deliver automated and decentralized energy distribution to consumers. However, in order to ensure the reliable and secure provi...
详细信息
Big data has the ability to open up innovative and ground-breaking prospects for the electrical grid,which also supports to obtain a variety of technological,social,and financial *** is an unprecedented amount of hete...
详细信息
Big data has the ability to open up innovative and ground-breaking prospects for the electrical grid,which also supports to obtain a variety of technological,social,and financial *** is an unprecedented amount of heterogeneous big data as a consequence of the growth of power grid technologies,along with data processing and advanced *** main obstacles in turning the heterogeneous large dataset into useful results are computational burden and information *** original contribution of this paper is to develop a new big data framework for detecting various intrusions from the smart grid systems with the use of AI ***,an AdaBelief Exponential Feature Selection(AEFS)technique is used to efficiently handle the input huge datasets from the smart grid for boosting ***,a Kernel based Extreme Neural Network(KENN)technique is used to anticipate security vulnerabilities more *** Polar Bear Optimization(PBO)algorithm is used to efficiently determine the parameters for the estimate of radial basis ***,several types of smart grid network datasets are employed during analysis in order to examine the outcomes and efficiency of the proposed AdaBelief Exponential Feature Selection-Kernel based Extreme Neural Network(AEFS-KENN)big data security *** results reveal that the accuracy of proposed AEFS-KENN is increased up to 99.5%with precision and AUC of 99%for all smart grid big datasets used in this study.
This paper presents a comparative study of heart sound denoising techniques by employing the Adaptive Line Enhancer (ALE) with the Least Mean Fourth (LMF) algorithm. Three variations of the ALE using LMF are developed...
详细信息
The utilization of energy storage systems (ESS) and the expansion of their installed capacity are crucial steps towards achieving energy neutrality goals. These systems, often integrated with photovoltaic installation...
详细信息
Text detection in natural images is a crucial task for extracting and recognizing valuable information, but it comes with significant challenges. Traditional image processing methods often rely on synthetic features, ...
详细信息
In this work, we will develop an algorithm based on unsupervised region segmentation for the detection, identification and traking of anomalies in a set of medical images. We created an algorithmic system based on k-m...
详细信息
暂无评论