Machine learning and deep learning approaches for brain disease diagnosis: principles and recent advances
Brain is the controlling center of our body. With the advent of time, newer and newer brain
diseases are being discovered. Thus, because of the variability of brain diseases, existing …
diseases are being discovered. Thus, because of the variability of brain diseases, existing …
Face recognition and age estimation implications of changes in facial features: A critical review study
Facial features are considered as one of the important personal characteristics. This can be
used in many applications, such as face recognition and age estimation. The value of these …
used in many applications, such as face recognition and age estimation. The value of these …
[Retracted] A New Face Image Recognition Algorithm Based on Cerebellum‐Basal Ganglia Mechanism
S Tang, M Shabaz - Journal of healthcare engineering, 2021 - Wiley Online Library
Face recognition is one of the popular areas of research in the field of computer vision. It is
mainly used for identification and security system. One of the major challenges in face …
mainly used for identification and security system. One of the major challenges in face …
Face recognition via deep stacked denoising sparse autoencoders (DSDSA)
P Görgel, A Simsek - Applied Mathematics and Computation, 2019 - Elsevier
Face recognition is still a hot topic under investigation due to many challenges of variation
including the difference in poses, illumination, expression, occlusion and scenes. Recently …
including the difference in poses, illumination, expression, occlusion and scenes. Recently …
Smart classroom monitoring using novel real-time facial expression recognition system
Featured Application The proposed automatic emotion recognition system has been
deployed in the classroom environment (education) but it can be used anywhere to monitor …
deployed in the classroom environment (education) but it can be used anywhere to monitor …
DeepCurvMRI: Deep convolutional curvelet transform-based MRI approach for early detection of Alzheimer's disease
CM Chabib, LJ Hadjileontiadis, A Al Shehhi - IEEE Access, 2023 - ieeexplore.ieee.org
Alzheimer's Disease (AD) is the most common form of dementia. It usually manifests through
progressive loss of cognitive function and memory, subsequently impairing the person's …
progressive loss of cognitive function and memory, subsequently impairing the person's …
Deep learning with multiresolution handcrafted features for brain MRI segmentation
The segmentation of magnetic resonance (MR) images is a crucial task for creating pseudo
computed tomography (CT) images which are used to achieve positron emission …
computed tomography (CT) images which are used to achieve positron emission …
[PDF][PDF] Face recognition based on gabor feature extraction followed by fastica and lda
Over the past few decades, face recognition has become the most effective biometric
technique in recognizing people's identity, as it is widely used in many areas of our daily …
technique in recognizing people's identity, as it is widely used in many areas of our daily …
Non-decimated wavelet based multi-band ear recognition using principal component analysis
MM Zarachoff, A Sheikh-Akbari, D Monekosso - IEEE Access, 2021 - ieeexplore.ieee.org
Principal Component Analysis (PCA) has been successfully applied to many applications,
including ear recognition. This paper presents a 2D Wavelet based Multi-Band Principal …
including ear recognition. This paper presents a 2D Wavelet based Multi-Band Principal …
An extensive study on traditional-to-recent transformation on face recognition system
The face is the most visible biometric feature considered in manual and automated systems
to identify individuals. In recent years, the inventions of low-cost high-resolution mobile …
to identify individuals. In recent years, the inventions of low-cost high-resolution mobile …