Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...

Abstract: Artificial intelligence and nearly all its subfields include machine learning and deep learning in operations with the closings being a vital aspect across disciplines including solving ...

Quantum computers can outperform their classical counterparts at some tasks, but the full scope of their power is unclear. A new quantum algorithm hints at the possibility of far-reaching applications ...

Abstract: Manipulator robots are one of the widely famous robotics types. One of the major problems that appear when preparing these robots is the Inverse Kinematic Problem (IKP). Overcoming the IKP ...

Simultaneous Tri-Modal Medical Image Fusion and Super-Resolution using Conditional Diffusion Model, MICCAI 2024. [arXiv] In clinical practice, tri-modal medical image fusion, compared to the existing ...