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Found 7 papers, 0 papers with code
Graph Language Model (GLM): A new graph-based approach to detect social instabilities
This scientific report presents a novel methodology for the early prediction of important political events using News datasets.
Reshaping Smart Energy Transition: An analysis of human-building interactions in Qatar Using Machine Learning Techniques
The study has important implications for developing targeted strategies aimed at improving the efficacy of energy policies and sustainability performance indicators.
APS: A Large-Scale Multi-Modal Indoor Camera Positioning System
In this paper, a novel multi-modal end-to-end system for large-scale indoor positioning has been proposed, namely APS (Alpha Positioning System), which integrates a Pix2Pix GAN network to reconstruct the point cloud pair of the input query image, with a deep CNN network in order to robustly estimate the position and rotation information of the camera.
Attention-Based Face AntiSpoofing of RGB Images, using a Minimal End-2-End Neural Network
The experiments show that, both of the proposed architectures achieve remarkable results on detecting the real and fake images of the face input data.
Capsule-Based Persian/Arabic Robust Handwritten Digit Recognition Using EM Routing
In this paper, the problem of handwritten digit recognition has been addressed.
LiDAR ICPS-net: Indoor Camera Positioning based-on Generative Adversarial Network for RGB to Point-Cloud Translation
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 inside closed areas and tunnels.
ICPS-net: An End-to-End RGB-based Indoor Camera Positioning System using deep convolutional neural networks
Indoor positioning and navigation inside an area with no GPS-data availability is a challenging problem.
