Exclusive satellite imagery obtained and analyzed by CNN shows signs Iran may be attempting to rebuild its nuclear facilities ...

This course provides a comprehensive introduction to computer vision. Major topics include image processing, detection and recognition, geometry-based and physics-based vision and video analysis.

This repository contains the implementation, benchmarks, and supporting tools for my MSc dissertation project: Self-learning Variational Autoencoder for EEG Artifact Removal (Key code only). Benchmark ...

The Africa Program achieves its mission through in-depth research that offers practical solutions to key challenges in US-Africa relations. The Africa Program's flagship initiatives include the ...

Abstract: Early identification is crucial for improving treatment outcomes and survival rates for skin cancer, which is a major worldwide health concern. This study uses MATLAB as the main programming ...

Human inventions, namely engineered systems, have relied on fundamental discoveries in physics and mathematics, e.g., Maxwell’s equations, Quantum mechanics, Information theory, etc., thereby applying ...

Data-driven models that act as surrogates for computationally costly 3D topology optimization techniques are very popular because they help alleviate multiple time-consuming 3D finite element analyses ...

Optimized (very fast) stereo matching algorithms in MATLAB and Python. It includes implementations of Block Matching, Dynamic Programming, Semi-Global Matching and Belief Propagation. A C++ ...

This paper discusses a machine learning approach for detecting SSVEP at both ears with minimal channels. SSVEP is a robust EEG signal suitable for many BCI applications. It is strong at the visual ...