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An Overview of Machine Learning and 5G for People with Disabilities
(Sensors (Basel), 2021)
Currently, over a billion people, including children (or about 15% of the world's population), are estimated to be living with disability, and this figure is going to increase to beyond two billion by 2050. People with ...
Boosted projections and low cost transfer learning applied to smart surveillance
(Universidade Federal de Minas GeraisUFMG, 2018-02-23)
Computer vision is an important area related to understanding the world through images. It can be used in biometrics, by verifying whether a given face is of a certain identity, used to look for crime perpetrators in an ...
Representation of molecular structures with persistent homology for machine learning applications in chemistry
Machine learning and high-throughput computational screening have been valuable tools in
accelerated first-principles screening for the discovery of the next generation of functionalized molecules and materials. The ...
Machine Learning As an Advanced Algorithm To Solve Optimization Problems in Physics
(Institute of Electrical and Electronics EngineersPE, 2021-08-19)
It is argued that the standard procedures to solve problems in physics particularly in the field of electrodynamics have in a tacit manner the actions of Machine Learning, such as the criteria of Tom Mitchell, (i) task, ...
Complex Network Construction for Interactive Image Segmentation Using Particle Competition and Cooperation: A New Approach
(2020-01-01)
In the interactive image segmentation task, the Particle Competition and Cooperation (PCC) model is fed with a complex network, which is built from the input image. In the network construction phase, a weight vector is ...
The Development of a Universal In Silico Predictor of Protein-Protein Interactions
(2013-05-31)
Protein-protein interactions (PPIs) are essential for understanding the function of biological systems and have been characterized using a vast array of experimental techniques. These techniques detect only a small proportion ...
The Development of a Universal In Silico Predictor of Protein-Protein Interactions
(2013-05-31)
Protein-protein interactions (PPIs) are essential for understanding the function of biological systems and have been characterized using a vast array of experimental techniques. These techniques detect only a small proportion ...
Unveiling phase transitions with machine learning
(2019-07-22)
The classification of phase transitions is a central and challenging task in condensed matter physics. Typically, it relies on the identification of order parameters and the analysis of singularities in the free energy and ...