Abstract: Various measures have been implemented to reduce the number of traffic crashes, which can cause significant social and economic damage. Several studies have identified the factors that cause ...
Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most common cause of chronic liver disease worldwide, affecting over 30% of the global general population. Its progressive ...
MicroCloud Hologram Inc. has announced the creation of a noise-resistant Deep Quantum Neural Network (DQNN) architecture, which aims to advance quantum computing and enhance the efficiency of quantum ...
Alzheimer’s disease (AD) is a progressive, incurable neurological disorder that leads to a gradual decline in cognitive abilities. Early detection is vital for alleviating symptoms and improving ...
SEO is evolving faster than a fruit fly colony in a genetics lab – constantly adapting, mutating, and surprising even the experts. One day, long-form content reigns supreme; the next, AI-generated ...
Introducing Annotatability—a powerful new framework to address a major challenge in biological research by examining how artificial neural networks learn to label genomic data. Genomic datasets often ...
Revolutionizing fragrance design using deep neural networks (DNNs) scent profiles from chemical data
Scientific research explores the potential of DNNs in transforming fragrance design. By analyzing the sensing data of 180 essential oils, the DNN was trained using the odor descriptor data from 94 ...
Abstract: This paper presents an image classification model using a convolutional neural network with Tensor Flow. Tensor Flow is a popular open source library for machine learning and deep neural ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback