Assessing risk susceptibility of individuals to a complex disease is becoming an interesting prevention tool specially recommended for those with ancestors or other relatives affected by the disease. As genome-wide DN...
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For some years now, energy efficiency has been one of the concerns of cloud system administrators. To improve energy efficiency, in recent years standards such as ISO/IEC 30134-4 and ISO/IEC 21836 have emerged. Both s...
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Software Defined Networks (SDN) utilize the network devices as virtual devices to analyze the traffic and transmit the relevant packets. It is quite beneficial for the internet of Things (IoT) where the huge number of...
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With the advent and advancements in the wireless technologies,Wi-Fi ngerprinting-based Indoor Positioning System(IPS)has become one of the most promising solutions for localization in indoor *** the outdoor environmen...
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With the advent and advancements in the wireless technologies,Wi-Fi ngerprinting-based Indoor Positioning System(IPS)has become one of the most promising solutions for localization in indoor *** the outdoor environment,the lack of line-of-sight propagation in an indoor environment keeps the interest of the researchers to develop efcient and precise positioning systems that can later be incorporated in numerous applications involving Internet of Things(IoTs)and green *** this paper,we have proposed a technique that combines the capabilities of multiple algorithms to overcome the complexities experienced ***,in the database development phase,Motley Kennan propagation model is used with Hough transformation to classify,detect,and assign different attenuation factors related to the types of ***,important parameters for system accuracy,such as,placement and geometry of Access Points(APs)in the coverage area are also *** algorithm for deployment of an additional AP to an already existing infrastructure is proposed by using Genetic Algorithm(GA)coupled with Enhanced Dilution of Precision(EDOP).Moreover,classication algorithm based on k-Nearest Neighbors(k-NN)is used to nd the position of a stationary or mobile user inside the given coverage *** k-NN to provide low localization error and reduced space dimensionality,three APs are required to be selected *** this paper,we have suggested an idea to select APs based on Position Vectors(PV)as an input to the localization *** from our comprehensive investigations,it is revealed that the accuracy of indoor positioning system using the proposed technique unblemished the existing solutions with signicant improvements.
Most of object detection algorithms do not yield perfect foreground segmentation masks. These errors in the initial stage of video surveillance systems could cause that the subsequent tasks like object tracking and be...
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In this paper, a new self-organizing neural gas model that we call Growing Hierarchical Bregman Neural Gas (GHBNG) has been proposed. Our proposal is based on the Growing Hierarchical Neural Gas (GHNG) in which Bregma...
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Book reviewing is a commonplace activity on many ecommerce sites. However, it is nested within the broader context of book buying and selling. Goodreads, an online platform for social curation of book collections, pro...
With the advancement of multi-core processors, parallel algorithms especially multithreaded algorithms, are of increasing importance to developers. The requirement for parallel algorithm analysis also increased. In th...
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In this paper a controller for PTZ cameras based on an unsupervised neural network model is presented. It takes advantage of the foreground mask generated by a non-parametric foreground detection subsystem. Thus, our ...
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Self-organizing neural networks are usually focused on prototype learning, while the topology is held fixed during the learning process. Here we propose a method to adapt the topology of the network so that it reflect...
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