This research study provides an innovative method for improving the QoS of IoT networks by integrating Visible Light communication (VLC) with algorithms for location monitoring. The proposed technique addresses the ri...
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This paper presents a technique for improved detection of macular diseases using Optical Coherence Tomography (OCT) images. The method combines two pre-trained CNN models, VGG16 and InceptionV3, to form a Deep Feature...
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Although the easiest pre-screening approach for lung disease diagnosis is using a stethoscope to analyse the lung sounds, it is not employed as a conclusive diagnostic test because it is greatly dependent on the physi...
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This paper presents an advanced smart transportation system utilizing vehicle-to- vehicle (V2V) communication technology to improve real-time data exchange between vehicles, enhancing decision- making and safety for d...
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The presented model has been proposed for solving the problem of multi class gesture recognition in a memory optimized method. In this model CNN-3D deep neural network model is used along with SoftMax classifier for p...
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Gaussian processes (GP) are becoming more and more popular way to solve statistics and machine learning problems. One of the reasons is the increase in computational power that can handle the inherent computational pr...
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ISBN:
(纸本)9798350311075
Gaussian processes (GP) are becoming more and more popular way to solve statistics and machine learning problems. One of the reasons is the increase in computational power that can handle the inherent computational problem for GP models. Still, in the case of big data, the computational burden can be impractical. For this reason, various approximation methods are developed. In our work, we would like to present an alternative to the internal approximation by using the properties of Chebyshev polynomials. The idea is to calculate the GP model only at Chebyshev nodes and use the property of transforming function values in them to Chebyshev coefficients giving a solution to the original problem. In our research, we propose our version of the algorithm and test it on cases of various functions.
Keeping an eye on the system that disposes of our rubbish is growing increasingly challenging as our lifestyles evolve. Thus, to make things simpler, we've designed a sophisticated trash monitoring system that can...
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The proceedings contain 22 papers. The topics discussed include: SDN-based optimized controller deployment strategy for satellite network;multi-UAV enabled maritime relay and edge-computing service migration;a TDoA-ba...
ISBN:
(纸本)9798350374377
The proceedings contain 22 papers. The topics discussed include: SDN-based optimized controller deployment strategy for satellite network;multi-UAV enabled maritime relay and edge-computing service migration;a TDoA-based single-LED VLP system assisted by circular photodiodes array receiver;research on parabolic cores and high refractive index ring assisted fibers;FUFQ: a heterogeneous-based full-amplitude quantum simulator;design of network topology control algorithm for multi-agent systems;aerial reconfigurable intelligent surface-assisted secrecy energy-efficient communication based on deep reinforcement learning;conceptual design to achieve stable communication performance in OWC systems with dimming control;and an improved label propagation algorithm for undirected weighted networks.
A novel cascade uncalibrated IBVS control scheme is proposed for electrically driven robotic manipulators with actuator faults and power system faults in this paper. For the actuator failure, we propose to employ the ...
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With ever increasing demand in power, there is a paradigm shift from integrated grids to microgrids to cater small communities or islands. Microgrids are the need of the hour as it is comprises of distributed generati...
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