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Deep neural networks are vulnerable to adversarial examples, which are well-designed examples aiming to cause models to produce wrong outputs with high confidence. Although adversarial training is by so far the only effective adversarial defense ...

Image denoising is tricky work required in various image processing and computer vision challenges. This paper proposes and implements a perceptual adversarial non-residual blind denoising training architecture based on non-residual adversarial ...

Current development in a deep neural network (DNN) has given an opportunity to a novel framework for the reconstruction of a holographic image and a phase recovery method with real-time performance. There are many deep learning-based techniques that have ...

Online shopping websites throughout the world are increasing at an immense pace. Most of these websites are focused on search engines that tend to be based mainly on the information base and utilize matching keywords to find related products. However, ...

The existing Hungarian method for solving unbalanced assignment problems is based on the assumptions to assign some jobs to dummy or pseudo machines, those jobs assigned to dummy machines are actually left without execution. In real ...

Saliency detection has always been a challenging and interesting research area for researchers. The existing methodologies either focus on foreground regions or background regions of an image by computing low-level features. However, considering only ...

Emotions have a great significance in human-to-human and in human-to-computer communication and interaction. In this paper, an effective and novel approach to recognize the emotions using facial expressions by the fusion of duplex features is proposed. ...

Modern clinical databases collect a large amount of time series data of vital signs. In this work, we first extract the general representative signal patterns from physiological signals, such as blood pressure, respiration rate and heart rate, ...

Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA) is a widely used type of challenge-response test to determine whether or not the user is human in many web applications. The traditional CAPTCHAs with English and ...

It is not possible for one person to explore or surf all the relevant websites pre-training to his/her topic. A user might not be able to get the results that he/she expects from the search engine but another user might have some knowledge about some ...

This paper describes a camera and hand-eye calibration methodology for integrating an active binocular robot head within a dual-arm robot. For this purpose, we derive the forward kinematic model of our active robot head and describe our methodology for ...

We present an interactive perception model for object sorting based on Gaussian Process (GP) classification that is capable of recognizing objects categories from point cloud data. In our approach, FPFH features are extracted from point clouds to describe ...

One of the largest IT challenges in the health and medical fields is the ability to track large numbers of patients and materials. As mobile phone availability becomes ubiquitous around the world, the use of Near Field Communication (NFC) with mobile ...