Researchers in Turkey have developed BCECNN, an AI model that detects breast cancer with 98.75% accuracy and explains its ...

A new framework integrates graph databases with real-time machine learning to enhance fraud detection and risk control in digital finance. By ...

And he took the decision to stay even though his experience with a previous fitness offerings and healthy food venture called CrankOut had shown him that success takes more than just hard work or a ...

This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that optimizes millions of ...

Simple quantum-classical neural networks achieve good results in classifying lesions with fewer computational parameters.

Abstract: Objective: Accurate decoding of electroencephalogram (EEG) signals has become more significant for the brain-computer interface (BCI). Specifically, motor imagery and motor execution (MI/ME) ...

Abstract: Myocardial infarction can be life-threatening and needs to be detected accurately and quickly. In this paper, a branch-reduced network (BRN) is developed to detect and locate acute ...

Quantum computation has the potential for exponential speedup of classical systems in some applications, such as cryptography, simulation of molecular behavior, and optimization. Nevertheless, quantum ...

Department of Applied Physics, Lanzhou University of Technology, Lanzhou, Gansu 730050, China College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, Gansu 730070, China ...