Large-scale VANET simulations are computationally intensive. Disolv is a simulation architecture proposed to support city-scale VANET studies. This paper describes software decisions taken to realize a concrete implem...
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Keeping the Internet of Things (IoT) safe from cyber threats is a big challenge, and Intrusion Detection Systems (IDS) are like security guards in this effort. While IoT facilitates the connection of diverse devices t...
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This paper examines the possibility of using low-cost commercial off-the-shelf audio recording equipment in combination with machine learning techniques to discover the presence of hostile UAVs. A convolutional neural...
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This paper provides performance research of the Rockchip systems-on-chip RK3568 and RK3588 through convolutional neural network YOLOv4 in terms of average inference time and average power consumption. The obtained val...
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Support vector machine(SVM)is a binary classifier widely used in machine ***,neglecting the latent data structure in previous SVM can limit the performance of SVM and its *** address this issue,the authors propose a n...
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Support vector machine(SVM)is a binary classifier widely used in machine ***,neglecting the latent data structure in previous SVM can limit the performance of SVM and its *** address this issue,the authors propose a novel SVM with discriminative low-rank embedding(LRSVM)that finds a discriminative latent low-rank subspace more suitable for SVM *** extension models of LRSVM are introduced by imposing different orthogonality constraints to prevent computational inaccuracies.A detailed derivation of the authors’iterative algorithms are given that is essentially for solving the SVM on the low-rank ***,some theorems and properties of the proposed models are presented by the *** is worth mentioning that the subproblems of the proposed algorithms are equivalent to the standard or the weighted linear discriminant analysis(LDA)*** indicates that the projection subspaces obtained by the authors’algorithms are more suitable for SVM classification compared to those from the LDA *** convergence analysis for the authors proposed algorithms are also ***,the authors conduct experiments on various machine learning data sets to evaluate the *** experiment results show that the authors’algorithms perform significantly better than other algorithms,which indicates their superior abilities on classification tasks.
This paper studies a M[n]/M/1 retrial queuing system with batch arrival process, feedback and impatient customers. The waiting time in the orbit and the patience time of the customers have exponential distributions. T...
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The efficiency of the YOLOv4 convolutional neural network (CNN) in detection of objects moving in airspace is investigated. Video materials of two classes of flying objects (FO) were used as the initial data for train...
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In-hand tool manipulation is an operation that not only manipulates a tool within the hand (i.e., in-hand manipulation) but also achieves a grasp suitable for a task after the manipulation. This study aims to achieve ...
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Two convolutional neural networks (CNNs)—modification of classic U-Net and U-Net with the use of dilated convolutions—were implemented. In order to train and test the CNNs, we utilised unmanned aerial vehicle images...
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This study investigates the capabilities and flexibility of edge devices for real-time data processing near the source. A configurable Nvidia Jetson Nano system is used to deploy nine pre-trained computer vision model...
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