[HTML][HTML] Facial emotion recognition using conventional machine learning and deep learning methods: current achievements, analysis and remaining challenges
AR Khan - Information, 2022 - mdpi.com
Facial emotion recognition (FER) is an emerging and significant research area in the pattern
recognition domain. In daily life, the role of non-verbal communication is significant, and in …
recognition domain. In daily life, the role of non-verbal communication is significant, and in …
A comprehensive survey of covert communication techniques, limitations and future challenges
Data encryption aims to protect the confidentiality of data at storage, during transmission, or
while in processing. However, it is not always the optimum choice as attackers know the …
while in processing. However, it is not always the optimum choice as attackers know the …
[HTML][HTML] Threat analysis and distributed denial of service (DDoS) attack recognition in the internet of things (IoT)
The Internet of Things (IoT) plays a crucial role in various sectors such as automobiles and
the logistic tracking medical field because it consists of distributed nodes, servers, and …
the logistic tracking medical field because it consists of distributed nodes, servers, and …
Detection of copy-move image forgery based on discrete cosine transform
Since powerful editing software is easily accessible, manipulation on images is expedient
and easy without leaving any noticeable evidences. Hence, it turns out to be a challenging …
and easy without leaving any noticeable evidences. Hence, it turns out to be a challenging …
Automated lung nodule detection and classification based on multiple classifiers voting
T Saba - Microscopy research and technique, 2019 - Wiley Online Library
Lung cancer is the most common cause of cancer‐related death globally. Currently, lung
nodule detection and classification are performed by radiologist‐assisted computer‐aided …
nodule detection and classification are performed by radiologist‐assisted computer‐aided …
Image enhancement and segmentation techniques for detection of knee joint diseases: A survey
Background: Knee bone diseases are rare but might be highly destructive. Magnetic
Resonance Imaging (MRI) is the main approach to identify knee cancer and its treatment …
Resonance Imaging (MRI) is the main approach to identify knee cancer and its treatment …
Retinal imaging analysis based on vessel detection
A Jamal, M Hazim Alkawaz… - Microscopy research …, 2017 - Wiley Online Library
With an increase in the advancement of digital imaging and computing power,
computationally intelligent technologies are in high demand to be used in ophthalmology …
computationally intelligent technologies are in high demand to be used in ophthalmology …
Microscopic retinal blood vessels detection and segmentation using support vector machine and K‐nearest neighbors
The retina is the deepest layer of texture covering the rear of the eye, recorded by fundus
images. Vessel detection and segmentation are useful in disease diagnosis. The retina's …
images. Vessel detection and segmentation are useful in disease diagnosis. The retina's …
Authentication through gender classification from iris images using support vector machine
Soft biometric information, such as gender, iris, and voice, can be helpful in various
applications, such as security, authentication, and validation. Iris is secure biometrics with …
applications, such as security, authentication, and validation. Iris is secure biometrics with …
[HTML][HTML] Image steganography using exploiting modification direction for compressed encrypted data
ZS Younus, MK Hussain - Journal of King Saud University-Computer and …, 2022 - Elsevier
Building a balanced relation between image quality and the payload, the robustness of the
method in facing electronic attacks and securing data, all the mentioned processes …
method in facing electronic attacks and securing data, all the mentioned processes …