This paper presents a novel adaptive synthetic (ADASYN) sampling approach for learning from imbalanced data sets. The essential idea of ADASYN is to use a weighted distribution for different minority ...

A method is presented for automated segmentation of vessels in two-dimensional color images of the retina. This method can be used in computer analyses of retinal images, e.g., in automated screening ...

This survey reviews the scientific literature on techniques for reducing interference in real-time multicore systems, focusing on the approaches proposed between 2015 and 2020. It also presents ...

This paper discusses various biosensors in detail, where the biosensor consists of bioelement and a sensor element. The bioelement may be an enzyme, antibody, living cells etc., and the sensing ...

A survey of defect detection studies comparing inspection and testing techniques yields practical recommendations: use inspections for requirements and design defects, and use testing for code.

Panoramic video contains 360-degree video content and it is convenient to draw the content that the user wants to watch on the head-Mount display (HMD) of the virtual reality display device. However, ...

The unprecedented outbreak of the 2019 novel coronavirus, termed as COVID-19 by the World Health Organization (WHO), has placed numerous governments around the world in a precarious position. The ...

Seamless handover over multiple access points is highly desirable to mobile nodes, but ensuring security and efficiency of this process is challenging. This paper shows that prior handover ...

Object 3D reconstruction from a single-view image is an ill-posed problem. Inferring the self-occluded part of an object makes 3D reconstruction a challenging and ambiguous task. In this paper, we ...

This paper addresses the problem of predicting duration of unplanned power outages, using historical outage records to train a series of neural network predictors. The initial duration prediction is ...

This article proposes a Fast and Compact Ternary LSTM (FaCTLSTM), which bridges the accuracy gap between the full-precision and quantized neural networks.

String matching has sparked renewed research interest due to its usefulness for deep packet inspection in applications such as intrusion detection, virus scanning, and Internet content filtering.