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...
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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...
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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...
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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...
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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, ...
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This paper introduces a deep learning (DL)-based vision system for real-time object detection, grasping, and sorting using a UR5e robotic manipulator, aimed to address the challenges faced in industrial automation whi...
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This paper proposes the design of all textile ultra-wideband (UWB) monopole antenna. The textile antenna structure includes of the octagonal-shaped patch and modified ground plane. Conventional rectangular ground plan...
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This work demonstrates a hardware design generator of different types of shift registers suitable for both FPGA and ASIC technology mapping. A proposed hardware generator, written in Chisel HDL, supports a wide range ...
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With next-generation communication technologies becoming more integrated into critical infrastructure, securing these networks against sophisticated threats has become paramount. One of the most persistent threats to ...
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The prominent trend in wind turbine technology centers on the adoption of direct-drive permanent magnet synchronous generators (DD-PMSG), a choice driven by their capacity to deliver superior efficiency through the el...
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