This work aims to develop a Code comprehensive interface for the three programming languages JAVA, C, and Python integrated with error detection and code optimization. Users can give input codes of these language code...
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Load balancing is considered as one of the most critical task of cloud computing as it requires an effective load balancing system to balance the network loads based on parameters including latency, throughput, execut...
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The challenge of testing modern cybersecurity efficiency in a web application lies around developed systems of vulnerability detection. Precisely, the technologies discussed in combination pave the way toward a more e...
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The design of Multiuser Multiple-Input Multiple-Output systems are of utmost importance to meet the increasing demands of modern wireless communication networks. This abstract highlight the key elements of Multiuser M...
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The effective approach of monitoring electricity using an IOT-CLOUD computing system and an electricity sensor. The use of smart energy metres and electricity sensors in IOT-CLOUD computing-powered smart automation de...
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The proceedings contain 32 papers. The topics discussed include: research and optimization of feature extraction algorithms based on bearing vibration signals;deep learning-based direct sequence spread spectrum signal...
ISBN:
(纸本)9781510686700
The proceedings contain 32 papers. The topics discussed include: research and optimization of feature extraction algorithms based on bearing vibration signals;deep learning-based direct sequence spread spectrum signal modulation mode recognition and parameter estimation algorithm;YOLOv8-based small-target disinfection region detection model under complex indoor conditions;point cloud denoising algorithm on account of domain point space;distributed encrypted storage of large scale atomic data for cloud computing;a situation driven multi-satellite mission planning method based on genetic algorithm;and research on satellite attitude stabilization motion control algorithm for redundant multi manipulator free floating space robot capturing non cooperative target.
In this paper, we introduce the concept of observability of selected state variables for systems that may not be fully observable. For their estimation, we introduce and exemplify a deep filter, which is a neural netw...
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ISBN:
(数字)9781665495721
ISBN:
(纸本)9781665495721
In this paper, we introduce the concept of observability of selected state variables for systems that may not be fully observable. For their estimation, we introduce and exemplify a deep filter, which is a neural network specifically designed for the estimation of selected state variables without computing the trajectory of the entire system. The observability definition is quantitative rather than a yes or no answer so that one can compare the level of observability between different sensor locations.
Image inpainting is a significant research area in the field of computer vision, with a diverse range of applications in image processing. Traditional image inpainting techniques proved to ineffective in generating be...
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The automation scenario in the current industrial as well as domestic applications has seen an exponential growth over the decade. Robot plays an important role in industrial automation but in some cases, it needs som...
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Binary information trees are key visualization and evaluation tools, particularly during the passing of algorithms and synthesizing designs. This paper is an interactive tool for producing binary information trees ove...
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