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Improving Medical CT Image Quality Using Deep Learning
Computed Tomography (CT) is a diagnostic imaging modality that uses X-rays to acquire tomographic images. In this research, a deep learning-based technique has been developed to improve CT image quality, enabling high-precision diagnosis with reduced radiation exposure.
Hypertracking and Hyperrejection: Control of Signals Beyond the Nyquist Frequency
Enhancing the Capability of Testing-Based Formal Verification by Handling Operations in Software Packages
Establish axioms to define the formal semantics of the most commonly used operations (methods) in the Vector, ArrayList, and LinkdList classes.
Human Motion Classification Based on Stochastic Generative Models of Electromyogram (EMG) Signals
The Stochastic Generative Models of Electromyogram (EMG) Signals revealed outperformed the various conventional general-purpose classifiers.
