In recent years, automated (Intelligent) decision support systems have become prevalent in various smart city applications such as healthcare, transportation, energy management, and environmental monitoring. Internet ...
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As eloquently articulated by the esteemed sociologist and writer Chelsea Erieau, stress is a dynamic force, akin to an accelerator that exerts its influence, invariably driving individuals either forward or backward. ...
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Methods for neural network learning that rely on backpropagation are commonly used in fields including intrusion detection, bioinformatics, homeland security, and medical diagnostics. These application sectors extract...
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Due to their adaptable deployment options and complementary communication features, Wireless Mesh Networks (WMNs) have experienced an exponential rise in popularity in recent years. WMNs, a crucial component of next-g...
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Synchronous generators (SGs) have been a major component of the power system's historical reliance on inertia and grid stability. However, since there is a visible lack of inertia with the growing integration of p...
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AI-driven dual-model system for brain tumor detection in MRI scans, combining classification and segmentation techniques. A ResNet50-based convolutional neural network (CNN) identifies the presence of tumors, while a ...
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Due to its core characteristics, blockchain research has gained attention (Alrubei et al, in Ethereum blockchain for securing the Internet of Things: practical implementation and performance evaluation. IEEE, 2019 [1]...
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Throughout the use of the small battery-operated sensor nodes encou-rage us to develop an energy-efficient routing protocol for wireless sensor networks(WSNs).The development of an energy-efficient routing protocol is...
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Throughout the use of the small battery-operated sensor nodes encou-rage us to develop an energy-efficient routing protocol for wireless sensor networks(WSNs).The development of an energy-efficient routing protocol is a mainly adopted technique to enhance the lifetime of *** routing protocols are available,but the issue is still *** is one of the most important techniques in the existing routing *** the clustering-based model,the important thing is the selection of the cluster *** this paper,we have proposed a scheme that uses the bubble sort algorithm for cluster head selection by considering the remaining energy and the distance of the nodes in each ***,the bubble sort algorithm chose the two nodes with the maximum remaining energy in the cluster and chose a cluster head with a small *** proposed scheme performs hierarchal routing and direct routing with some energy *** simulation will be performed in MATLAB to justify its performance and results and compared with the ECHERP model to justify its ***,the simulations will be performed in two scenarios,gate-way-based and without gateway to achieve more energy-efficient results.
In this paper, we present the clinical significance of various cardiac symptoms with the use of heart rate detection, ongoing monitoring and present emotions. The development of algorithms for remote photoplethysmogra...
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In today's world, programming has become a very essential skill as it is used everywhere, from creating software's for operating systems to analysis of patients' health care data in biomedical engineering....
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