The demand for continual machine learning in the context of limited computational resources and data availability is critical in the evolving landscape of the connected digital world. Current network applications pred...
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We present a parameterized suite of benchmark problems arising from our work on pipelined machine verification, in the hopes that they can be used to speed up decision procedures. While the existence of a large number...
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We put forward and demonstrate a light-diffusing fiber equipped unmanned-aerial-vehicle (UAV) to provide a large field-of-view (FOV) optical camera communication (OCC) system. The light-diffusing fiber can act as a be...
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In an indoor wireless network environment com-posed of Internet of Things (loT) devices, there can be devices that transmit data in a weak link due to obstacles and low transmission power. To solve the problem without...
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In the area of pattern recognition and machine learning,features play a key role in *** famous applications of features are medical imaging,image classification,and name a few *** the exponential growth of information...
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In the area of pattern recognition and machine learning,features play a key role in *** famous applications of features are medical imaging,image classification,and name a few *** the exponential growth of information investments in medical data repositories and health service provision,medical institutions are collecting large volumes of *** data repositories contain details information essential to support medical diagnostic decisions and also improve patient care *** the other hand,this growth also made it difficult to comprehend and utilize data for various *** results of imaging data can become biased because of extraneous features present in larger *** selection gives a chance to decrease the number of components in such large *** selection techniques,ousting the unimportant features and selecting a subset of components that produces prevalent characterization *** correct decision to find a good attribute produces a precise grouping model,which enhances learning pace and forecast *** paper presents a review of feature selection techniques and attributes selection measures for medical *** review is meant to describe feature selection techniques in a medical domainwith their pros and cons and to signify its application in imaging data and data mining *** review reveals the shortcomings of the existing feature and attributes selection techniques to multi-sourced ***,this review provides the importance of feature selection for correct classification of medical *** the end,critical analysis and future directions are provided.
As researchers push for Exascale computing, one of the emerging challenges is system resilience. Unlike fault-tolerance which corrects errors, recent reports suggest that resilient systems will need to continue to mak...
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A key problem in Rechargeable Wireless Sensor Networks (WSNs) is determining the maximum amount of data that can be collected by a sink over a given time period. This maximum is constrained by link capacity and critic...
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Due to power considerations, it is possible that not all wavelengths available in a fiber can be used at a. given time. In this paper, an analytical model is proposed to evaluate the blocking performance of wavelength...
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In this paper, we propose a new architecture for tunable Fabry-Perot (FP) interferometer using fiber Bragg gratings (FBGs). The main feature of the architecture is its ability to increase the finesse using a potential...
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