The exhaled breath volatile organic compounds (VOC's) represent a biosignature with the potential to identify and describe heart failure diseases. Exhaled Breath biomarkers-based diagnosis of heart diseases may be easier ...

Among various palmprint identification methods proposed in the literature, sparse representation for classification (SRC) is very attractive offering high accuracy. Although SRC has good discriminative ability, its performance ...

Heart Failure is a major chronic disease that is increasing day by day and a great health burden in health care systems world wide. Artificial intelligence (AI) techniques such as machine learning (ML), deep learning (DL), ...

© 2018 Awan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...

© 2018 by the author. Licensee MDPI, Basel, Switzerland. This work investigates the problem of detecting hazardous events on roads by designing an audio surveillance system that automatically detects perilous situations ...

Recently, developing automated video surveillance systems (VSSs) has become crucial to ensure the security and safety of the population, especially during events involving large crowds, such as sporting events. While ...

Common carotid intima-media thickness (CIMT) is a common measure of atherosclerosis, often assessed through carotid ultrasound images. However, the use of deep learning methods for medical image analysis, segmentation and ...

After different consecutive waves, the pandemic phase of Coronavirus disease 2019 does not look to be ending soon for most countries across the world. To slow the spread of the COVID-19 virus, several measures have been ...

This paper proposes a new convolutional neural network architecture to tackle the problem of word spotting in handwritten documents. A Deep learning approach using a novel Convolutional Neural Network is developed for the ...

A key area in computer vision and biometric authentication systems is detecting and classifying face anti-spoofing. The novel method for face anti-spoofing presented in this paper focuses on color invariant methods. The ...