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BEMD-3DCNN-based method for COVID-19 detection
(
Elsevier Ltd
, 2022 , Article)
The coronavirus outbreak continues to spread around the world and no one knows when it will stop. Therefore, from the first day of the identification of the virus in Wuhan, China, scientists have launched numerous research ...
Designing a Mobile Serious Game for Raising Awareness of Diabetic Children
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
Mobile serious games are very important tools for self-learning, training, and edutainment. They can be used to improve the children's learning skills to grasp new concepts rapidly in an enjoyable manner. Fun, motivation, ...
A New Forensic Video Database for Source Smartphone Identification: Description and Analysis
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
In recent years, the field of digital imaging has made significant progress, so that today every smartphone has a built-in video camera that allows you to record high-quality video for free and without restrictions. On the ...
Partial shoeprint retrieval using multiple point-of-interest detectors and SIFT descriptors
(
IOS Press
, 2015 , Article)
Shoeprint evidence collected from crime scenes can play an important role in forensic investigations. Usually, the analysis of shoeprints is carried out manually and is based on human expertise and knowledge. As well as ...
Encoder-decoder architecture for ultrasound IMC segmentation and cIMT measurement
(
MDPI
, 2021 , Article)
Cardiovascular diseases (CVDs) have shown a huge impact on the number of deaths in the world. Thus, common carotid artery (CCA) segmentation and intima-media thickness (IMT) measurements have been significantly implemented ...
MOALLEMCorpus: A large-scale multimedia corpus for children education of Arabic vocabularies
(
IEEE Computer Society
, 2021 , Conference Paper)
The education of children with learning difficulties is a challenging task especially during COVID-19 pandemic. In fact, these children need to go regularly to specialized school, receive focused education, and interact ...
Smartphone-based food recognition system using multiple deep CNN models
(
Springer
, 2021 , Article)
People with blindness or low vision utilize mobile assistive tools for various applications such as object recognition, text recognition, etc. Most of the available applications are focused on recognizing generic objects. ...
Face-Fake-Net: The Deep Learning Method for Image Face Anti-Spoofing Detection : 45
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Due to the increasingly growing demand for user identification on cell phones, PCs, laptops, and so on, face anti-spoofing has risen to significance and is an active research area in academia and industry. The detection ...
Novel Ternary Adder and Multiplier Designs without Using Decoders or Encoders
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Multiple-Valued Logic systems present significant improvements in terms of energy consumption over binary logic systems. This paper proposes new ternary combinational digital circuits that reduce energy consumption in ...
Binarization of degraded document images using convolutional neural networks based on predicted two-channel images
(
IEEE Computer Society
, 2019 , Conference Paper)
Due to the poor condition of most of historical documents, binarization is difficult to separate document image background pixels from foreground pixels. This paper proposes Convolutional Neural Networks (CNNs) based on ...