23 citations · 43 across the 11 of their papers we have counts for
15 papers
Deep Layered LMS Predictor
Lubna Shibly Mokatren, Ahmet Enis Cetin, Rashid Ansari
In this study, we present a new approach to design a Least Mean Squares (LMS) predictor. This approach exploits the concept of deep neural networks and their supremacy in terms of…
EEG Classification by factoring in Sensor Configuration
Lubna Shibly Mokatren, Rashid Ansari, Ahmet Enis Cetin +4
Electroencephalography (EEG) serves as an effective diagnostic tool for mental disorders and neurological abnormalities. Enhanced analysis and classification of EEG signals can hel…
EEG Classification based on Image Configuration in Social Anxiety Disorder
Lubna Shibly Mokatren, Rashid Ansari, Ahmet Enis Cetin +4
The problem of detecting the presence of Social Anxiety Disorder (SAD) using Electroencephalography (EEG) for classification has seen limited study and is addressed with a new appr…
Automated Pain Detection from Facial Expressions using FACS: A Review
Zhanli Chen, Rashid Ansari, Diana Wilkie
Facial pain expression is an important modality for assessing pain, especially when the patient's verbal ability to communicate is impaired. The facial muscle-based action units (A…
Device-to-Device Networking Meets Cellular via Network Coding
Yasaman Keshtkarjahromi, Hulya Seferoglu, Rashid Ansari +1
Utilizing device-to-device (D2D) connections among mobile devices is promising to meet the increasing throughput demand over cellular links. In particular, when mobile devices are…
Learning Pain from Action Unit Combinations: A Weakly Supervised Approach via Multiple Instance Learning
Zhanli Chen, Rashid Ansari, Diana J. Wilkie
Patient pain can be detected highly reliably from facial expressions using a set of facial muscle-based action units (AUs) defined by the Facial Action Coding System (FACS). A key…