Oral potentially malignant disorders (OPMDs) combine an assortment of sores and conditions which show an increased danger for change to oral cancer. Early discovery and determination of such disorders are important to...
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E-commerce platforms focused on fashion, imagebased virtual try-on solutions have shown considerable potential for enhancing the user experience and increasing customer satisfaction. The 2 D solutions that exist fail ...
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The prediction of bit Error Rate (bER) in IEEE 802.16e Mobile WirlessMAN network is investigated here. The state of the channel is estimated on symbol by symbol basis on a realistic fading environment. The state of a ...
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ISBN:
(纸本)9789536114931
The prediction of bit Error Rate (bER) in IEEE 802.16e Mobile WirlessMAN network is investigated here. The state of the channel is estimated on symbol by symbol basis on a realistic fading environment. The state of a channel is modeled as nonlinear and temporal system. Neural network method is the best system to predict and analyze the behaviors of such nonlinear and temporal system. In this context, bER prediction by k symbol ahead is investigated by two different recurrent neural network architecturessuch as Recurrent Radial basis Function (RRbF) Network and Echo state Network (EsN). The Predicted bER will match very well with the simulation results.
With increasing trade and globalization of businesses, there is also an increasing need for an efficient, reliable and robust system for Naval security, especially for a peninsular country like India. The developing t...
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Due to increased urbanization, many states in India facessevere road traffic. This leads to more congestion and there by road safety. Identifying the road accident zones, causes and remedial actions needs data analyt...
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Frequent changes in property ownership can lead to complex and lengthy records, which may allow fraudulent or incomplete records to go unnoticed. The primary issuesstem from incomplete and damaged records caused by d...
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The emergence of deepfake videos in recent years has made image falsification a real threat. A deepfake video uses deep learning technology to substitute a person's face, emotion, or speech with the face, emotion,...
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Real-time data has evolved to become an integral part of understanding events across different timelines. Machine Learning uses different varieties of algorithms to determine the relationship between sets of data spre...
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This paper focuses on a scenario based bipolar disorder (bD) classification methodology. bD is a psychological brain disorder that affects 45 million people worldwide. It is also called manic depression and causesser...
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In the current generation, road accidents and security problems increase dramatically worldwide in our day to day life. In order to overcome this, vehicular Ad-hoc Network (vANETs) is considered as a key element of fu...
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