9 citations · 14 across the 7 of their papers we have counts for
8 papers
Graph Language Model (GLM): A new graph-based approach to detect social instabilities
Wallyson Lemes de Oliveira, Vahid Shamsaddini, Ali Ghofrani +3
This scientific report presents a novel methodology for the early prediction of important political events using News datasets. The methodology leverages natural language processin…
Reshaping Smart Energy Transition: An analysis of human-building interactions in Qatar Using Machine Learning Techniques
Rateb Jabbar, Esmat Zaidan, Ahmed ben Said +1
Policy Planning have the potential to contribute to the strategic development and economic diversification of developing countries even without considerable structural changes. In…
APS: A Large-Scale Multi-Modal Indoor Camera Positioning System
Ali Ghofrani, Rahil Mahdian Toroghi, Seyed Mojtaba Tabatabaie
Navigation inside a closed area with no GPS-signal accessibility is a highly challenging task. In order to tackle this problem, recently the imaging-based methods have grabbed the…
Attention-Based Face AntiSpoofing of RGB Images, using a Minimal End-2-End Neural Network
Ali Ghofrani, Rahil Mahdian Toroghi, Seyed Mojtaba Tabatabaie
Face anti-spoofing aims at identifying the real face, as well as the fake one, and gains a high attention in security-sensitive applications, liveness detection, fingerprinting, an…
Capsule-Based Persian/Arabic Robust Handwritten Digit Recognition Using EM Routing
Ali Ghofrani, Rahil Mahdian Toroghi
In this paper, the problem of handwritten digit recognition has been addressed. However, the underlying language is Persian/Arabic, and the system with which this task is a capsule…
LiDAR ICPS-net: Indoor Camera Positioning based-on Generative Adversarial Network for RGB to Point-Cloud Translation
Ali Ghofrani, Rahil Mahdian Toroghi, Seyed Mojtaba Tabatabaie +1
Indoor positioning aims at navigation inside areas with no GPS-data availability and could be employed in many applications such as augmented reality, autonomous driving specially…