Researchers in Turkey have developed BCECNN, an AI model that detects breast cancer with 98.75% accuracy and explains its ...
Abstract: Epilepsy is a common neurological disease, and its diagnosis usually depends on labor-intensive visual inspection of electroencephalogram (EEG). Although various deep learning-based seizure ...
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 ...
AMC Networks wants to offer TV advertisers a completely different kind of screen on which they can pitch their wares. The owner of AMC, IFC and other cable networks has a new cadre of advertisers ...
Simple quantum-classical neural networks achieve good results in classifying lesions with fewer computational parameters. Scientists from São Paulo State University demonstrated a hybrid model at an ...
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 ...
Abstract: Lung cancer is the leading cause of death worldwide for both men and women. The most well-known disease is the heart disease followed by lung cancer. Early discovery of lung cancer can ...
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