Automatic estimation of relative difficulty of a pair of questions is an important and challenging problem in community question answering (CQA) services. There are limited studies which addressed this problem. Past studies ...

Deep neural networks (DNNs) have been shown to be vulnerable to adversarial examples - malicious inputs which are crafted by the adversary to induce the trained model to produce erroneous outputs. This vulnerability has ...

The term bandwidth, capacity, and throughput characterize the amount of data that can be transferred per unit time. Accurate estimation of bandwidth can be leveraged by various applications which seek to provide best user ...

Distinguishing between unitary operators is one of the fundamental problems in the field of quantum computing. In the operator identification problem, we are given access to unknown operator U as a black-box that implements ...

Energy conservation plays an important role in the economic development of a country. The total share of building ’s energy consumption in the country ’s energy consumption is increasing every year in India. Thus, it is ...

With energy efficiency becoming a major concern in the HPC community, low-power alternatives such as heterogeneous Multi-Processor System-on-chip (MPSoC) are gainingpopularity. These devices house several different kinds ...

Code variants represent alternative implementations of a code snippet, where each alternative provides the same functionality, but has different properties that make some of them better suited to the overall project ...

Cyberwarfare remains a sparsely explored domain of cybersecurity research, most often involving targeted attacks by one nation against another, using botnets. These botnets use malware to launch various kinds of attacks ...

With an increase in usage and availability of wearable devices like GoPro, Microsoft Hololens, Google Glass, etc, egocentric video analysis has become essential. An interesting application is action recognition in egocentric ...

Our paper aims to build a classification-model which delineates the typical motion-related activities performed at a metro station using smart phone sensors. We focus on typical movements, such as climbing the stairs or ...