9 citations · 9 across the 5 of their papers we have counts for
6 papers
The application of Evolutionary and Nature Inspired Algorithms in Data Science and Data Analytics
Farid Ghareh Mohammadi, Farzan Shenavarmasouleh, Khaled Rasheed +3
In the past 30 years, scientists have searched nature, including animals and insects, and biology in order to discover, understand, and model solutions for solving large-scale scie…
An Integrated Approach for Video Captioning and Applications
Soheyla Amirian, Thiab R. Taha, Khaled Rasheed +1
Physical computing infrastructure, data gathering, and algorithms have recently had significant advances to extract information from images and videos. The growth has been especial…
Generative Adversarial Network Applications in Creating a Meta-Universe
Soheyla Amirian, Thiab R. Taha, Khaled Rasheed +1
Generative Adversarial Networks (GANs) are machine learning methods that are used in many important and novel applications. For example, in imaging science, GANs are effectively ut…
DRDrV3: Complete Lesion Detection in Fundus Images Using Mask R-CNN, Transfer Learning, and LSTM
Farzan Shenavarmasouleh, Farid Ghareh Mohammadi, M. Hadi Amini +3
Medical Imaging is one of the growing fields in the world of computer vision. In this study, we aim to address the Diabetic Retinopathy (DR) problem as one of the open challenges i…
Automatic Generation of Descriptive Titles for Video Clips Using Deep Learning
Soheyla Amirian, Khaled Rasheed, Thiab R. Taha +1
Over the last decade, the use of Deep Learning in many applications produced results that are comparable to and in some cases surpassing human expert performance. The application d…
The Use of Video Captioning for Fostering Physical Activity
Soheyla Amirian, Abolfazl Farahani, Hamid R. Arabnia +2
Video Captioning is considered to be one of the most challenging problems in the field of computer vision. Video Captioning involves the combination of different deep learning mode…