This important study builds on previous work from the same authors to present a conceptually distinct workflow for cryo-EM reconstruction that uses 2D template matching to enable high-resolution ...
Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...
This important study, which tackles the challenge of analyzing genome integrity and instability in unicellular pathogens by introducing a novel single-cell genomics approach, presents compelling ...
Explainable AI for Lightweight Network Traffic Classification Using Depthwise Separable Convolutions
Abstract: With the rapid growth of internet usage and the increasing number of connected devices, there is a critical need for advanced Network Traffic Classification (NTC) solutions to ensure optimal ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Accurate localization of pathologies in medical images is crucial for precise diagnosis and effective treatment. Existing deep learning models for defining pathology from clinical imaging data rely ...
Abstract: In this study, we aim to develop a respiratory disease detection and classification model using machine learning techniques. Respiratory diseases are a significant global health problem, and ...
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Image classification with CNNs in Keras | Easy guide
In this video, we will implement Image Classification using CNN Keras. We will build a Cat or Dog Classification model using CNN Keras. Keras is a free and open-source high-level API used for neural ...
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