The machine learning models based on Convolutional Neural Networks (CNNs) can be effectively used for detection and recognition of objects, such as Corona Virus Disease 19 (COVID-19). In particular, the MobileNet Single Shot multi-box Detector (SSD) have recently been proposed model object detection. However, there are still some challenges deployment architectures embedded devices, due to limi...

The statistical value of latencies between two sets hosts over a given period, which is referred as to the latency, can benefit many applications in next-generation networks, for example, Network-in-a-Box-based resource provisioning. However, existing methods hardly achieve low measurement cost and high prediction accuracy simultaneously large-scale scenarios. In this article, we design light-w...

In today’s world, the use of computer networks is everywhere, and to access home network we Internet. IoT are new range these in which try connect different appliances give commands from a remote place. Access any device over an insecure invites various types attacks. User authentication can be performed using some password or biometric technique. However, when it comes authenticating device, b...

Previous deep learning-based line segment detection (LSD) suffers from the immense model size and high computational cost for prediction. This constrains them real-time inference on computationally restricted environments. In this paper, we propose a light-weight detector resource-constrained environments named Mobile LSD (M-LSD). We design an extremely efficient architecture by minimizing back...