Facial expression recognition: A review of trends and techniques

OS Ekundayo, S Viriri - Ieee Access, 2021 - ieeexplore.ieee.org
Facial Expression Recognition (FER) is presently the aspect of cognitive and affective
computing with the most attention and popularity, aided by its vast application areas. Several …

Wrist pulse signal acquisition and analysis for disease diagnosis: A review

C Guo, Z Jiang, H He, Y Liao, D Zhang - Computers in Biology and …, 2022 - Elsevier
Pulse diagnosis (PD) plays an indispensable role in healthcare in China, India, Korea, and
other Orient countries. It requires considerable training and experience to master. The …

Discriminant correlation analysis: Real-time feature level fusion for multimodal biometric recognition

M Haghighat, M Abdel-Mottaleb… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Information fusion is a key step in multimodal biometric systems. The fusion of information
can occur at different levels of a recognition system, ie, at the feature level, matching-score …

Breast microcalcification diagnosis using deep convolutional neural network from digital mammograms

H Cai, Q Huang, W Rong, Y Song, J Li… - … methods in medicine, 2019 - Wiley Online Library
Mammography is successfully used as an effective screening tool for cancer diagnosis. A
calcification cluster on mammography is a primary sign of cancer. Early researches have …

Suspended sediment concentration estimation from landsat imagery along the lower missouri and middle Mississippi Rivers using an extreme learning machine

KT Peterson, V Sagan, P Sidike, AL Cox, M Martinez - Remote Sensing, 2018 - mdpi.com
Monitoring and quantifying suspended sediment concentration (SSC) along major fluvial
systems such as the Missouri and Mississippi Rivers provide crucial information for …

Movie genome: alleviating new item cold start in movie recommendation

Y Deldjoo, MF Dacrema, MG Constantin… - User Modeling and User …, 2019 - Springer
As of today, most movie recommendation services base their recommendations on
collaborative filtering (CF) and/or content-based filtering (CBF) models that use metadata …

Multimodal biometric authentication based on deep fusion of electrocardiogram (ECG) and finger vein

BA El-Rahiem, FEA El-Samie, M Amin - Multimedia Systems, 2022 - Springer
Biometric identification depends on the statistical analysis of the unique physical and
behavioral characteristics of individuals. However, a unimodal biometric system is …

Detecting malignant leukemia cells using microscopic blood smear images: a deep learning approach

R Baig, A Rehman, A Almuhaimeed, A Alzahrani… - Applied Sciences, 2022 - mdpi.com
Leukemia is a form of blood cancer that develops when the human body's bone marrow
contains too many white blood cells. This medical condition affects adults and is considered …

Human identification using finger vein and ECG signals

K Su, G Yang, B Wu, L Yang, D Li, P Su, Y Yin - Neurocomputing, 2019 - Elsevier
Biometric human identification refers to the automated recognition of individuals based on
their biological or behavioral characteristics. Finger vein recognition and electrocardiogram …

Multimodal biometric recognition using human ear and palmprint

N Hezil, A Boukrouche - IET Biometrics, 2017 - Wiley Online Library
Combining multiple human trait features is a proven and effective strategy for biometric‐
based personal identification. In this study, the authors investigate the fusion of two biometric …