Journal of biomedical informatics
Apr 27, 2022
Scientific evidence shows that acoustic analysis could be an indicator for diagnosing COVID-19. From analyzing recorded breath sounds on smartphones, it is discovered that patients with COVID-19 have different patterns in both the time domain and fre...
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Apr 27, 2022
The success of machine learning (ML) in materials property prediction depends heavily on how the materials are represented for learning. Two dominant families of material descriptors exist, one that encodes crystal structure in the representation and...
International journal of pharmaceutics
Apr 27, 2022
The potential of machine vision systems has not currently been exploited for pharmaceutical applications, although expected to provide revolutionary solutions for in-process and final product testing. The presented paper aimed to analyze the particle...
Proceedings of the National Academy of Sciences of the United States of America
Apr 27, 2022
Protein secondary structure discrimination is crucial for understanding their biological function. It is not generally possible to invert spectroscopic data to yield the structure. We present a machine learning protocol which uses two-dimensional UV ...
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Apr 27, 2022
While accuracy is an evident criterion for ultrasound image segmentation, output consistency across different tests is equally crucial for tracking changes in regions of interest in applications such as monitoring the patients' response to treatment,...
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Apr 27, 2022
Many interventional surgical procedures rely on medical imaging to visualize and track instruments. Such imaging methods not only need to be real time capable but also provide accurate and robust positional information. In ultrasound (US) application...
Sensors (Basel, Switzerland)
Apr 27, 2022
With the advent of the Internet of Things (IoT), it has become possible to have a variety of data sets generated through numerous types of sensors deployed across large urban areas, thus empowering the notion of smart cities. In smart cities, various...
Sensors (Basel, Switzerland)
Apr 27, 2022
The performance of a neural network depends on the availability of datasets, and most deep learning techniques lack accuracy and generalization when they are trained using limited datasets. Using synthesized training data is one of the effective ways...
Sensors (Basel, Switzerland)
Apr 27, 2022
Semantic segmentation network-based methods can detect concrete damage at the pixel level. However, the performance of a single semantic segmentation network is often limited. To improve the concrete damage detection performance of a semantic segment...
Sensors (Basel, Switzerland)
Apr 27, 2022
With humanity entering the age of intelligence, text detection technology has been gradually applied in the industry. However, text detection in a complex background is still a challenging problem for researchers to overcome. Most of the current algo...