Social Media provides an opportunity for people to share their idea about different aspects of
life. Traveling is one of the essential aspects of life. In this paper, we use Bidirectional …

Real estate investment decisions are critical for low-income people who have just one home
as their life-time investment option. So during the COVID-19 pandemic, unemployment …

In this paper, we propose Code-Bridged Classifier (CBC), a framework for making a
Convolutional Neural Network (CNNs) robust against adversarial attacks without increasing …

Deep neural networks (DNNs) are increasing their presence in a wide range of applications,
and their computationally intensive and memory-demanding nature poses challenges …

This paper proposes an ensemble learning model that is resistant to adversarial attacks. To
build resilience, we introduced a training process where each member learns a radically …

In this paper, we present NESTA, a specialized Neural engine that significantly accelerates
the computation of convolution layers in a deep convolutional neural network, while …

This article presents a low-power, programmable, domain-specific manycore accelerator,
Binarized neural Network Manycore Accelerator (BiNMAC), which adopts and efficiently …

Data prefetching, ie, the act of predicting application's future memory accesses and fetching
those that are not in the on-chip caches, is a well-known and widely-used approach to hide …

Deep convolutional neural networks have shown high efficiency in computer visions and
other applications. However, with the increase in the depth of the networks, the …

This paper proposes an ensemble learning model that is resistant to adversarial learning
attacks. To build resilience, we proposed a training process where each member learns a …