We need data sets of images Side Step Bar and subjective scores to develop robust no reference (or blind) visual quality metrics for consumer applications.These applications have many uncontrolled variables because the camera creates the original media and the impairment simultaneously.We do not fully understand how this impacts the integrity of ou
Objective: To investigate the accuracy of Cable Sleeving calcicum supression (CaSupp) technique derived from double-layer detector spectral computed tomography (DSCT) in the diagnosis of traumatic bone marrow edema in the knee.Methods: Twenty-three patients with trauma in the knee who underwent DSCT and Magnetic Resonance Imaging (MRI) in the Third
In healthcare applications, often it is not possible to record sufficient data Overlay Membrane as required for deep learning or data-driven classification and feature detection systems due to the patient condition, various clinical or experimental limitations, or time constraints.On the other hand, data imbalance invalidates many of the test resul
Pedestrian detection models in autonomous driving systems heavily rely on deep neural networks (DNNs) to perceive their surroundings.Recent research has unveiled the vulnerability of DNNs to backdoor attacks, in which malicious actors manipulate the system by embedding specific triggers within the training data.In this paper, we propose a tailored
Opportunity actualization is a critical competency attributed to entrepreneurs, which has received widespread attention in the entrepreneurship literature.However, the knowledge of Entrepreneurial Opportunity Abandonment (EOA) decisions is limited.We, therefore, explore the relatively under-studied EOA, analyzing why entrepreneurs commit decision e