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Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-Organized Operational Layer
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Automatic classification of speech commands has revolutionized human computer interactions in robotic applications. However, employed recognition models usually follow the methodology of deep learning with complicated ...
Robust biometric system using session invariant multimodal EEG and keystroke dynamics by the ensemble of self-ONNs
(
Elsevier Ltd
, 2022 , Article)
Harnessing the inherent anti-spoofing quality from electroencephalogram (EEG) signals has become a potential field of research in recent years. Although several studies have been conducted, still there are some vital ...
Real-Time Glaucoma Detection from Digital Fundus Images Using Self-ONNs
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Glaucoma leads to permanent vision disability by damaging the optical nerve that transmits visual images to the brain. The fact that glaucoma does not show any symptoms as it progresses and cannot be stopped at the later ...
A Scene-to-Speech Mobile based Application: Multiple Trained Models Approach
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
The concept of Scene-to-Speech (STS) is to recognize elements in a captured image or a video clip to speak loudly an informative textual content that describes the scene. The contemporary progression in convolution neural ...
Image Steganography: A Review of the Recent Advances
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Image Steganography is the process of hiding information which can be text, image or video inside a cover image. The secret information is hidden in a way that it not visible to the human eyes. Deep learning technology, ...
End-to-End Image Steganography Using Deep Convolutional Autoencoders
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Image steganography is used to hide a secret image inside a cover image in plain sight. Traditionally, the secret data is converted into binary bits and the cover image is manipulated statistically to embed the secret ...
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 ...
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 ...
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 ...
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 ...