7 Result(s)
within
César Teixeira
Engineering
-
Chapter and Conference Paper
A Deep Learning Approach for Data-Driven Predictive Maintenance of Rolling Bearings
It is crucial for industrial companies that their systems are available and healthy as most as possible. However, it is inevitable that machines will degrade over time, leading to a fault, or even a complete b...
-
Article
Open AccessBiomedical signals and machine learning in amyotrophic lateral sclerosis: a systematic review
The use of machine learning (ML) techniques in healthcare encompasses an emerging concept that envisages vast contributions to the tackling of rare diseases. In this scenario, amyotrophic lateral sclerosis (AL...
-
Chapter and Conference Paper
Automatic Segmentation of Ultrasonic Vocalizations in Rodents
Ultrasonic vocalizations studies in rodents have increasingly drawn researchers attention as it have been considered a powerful tool to understand the animals behavior and their interactions in different soci...
-
Chapter and Conference Paper
A Multi-feature Approach for Noise Detection in Lung Sounds
During the acquisition of lung sounds, several sources of noise can interfere with the recordings. Therefore, the detection of noise present in lung sounds plays an important role in the correct diagnosis of s...
-
Chapter and Conference Paper
Using the Jupyter Notebook as a Tool to Support the Teaching and Learning Processes in Engineering Courses
Teaching and learning processes can benefit from the use of online resources, enabling the improvement of teachers and students productivity and giving them flexibility and support for collaborative work. Part...
-
Chapter and Conference Paper
Development of an E-learning Platform for Storage, Simulation and Online Experimentation of Models of Physiological Processes
The physiological phenomena are the result of complex interactions between several components in wider biological scales, which is challenging, for the human eye, to understand. Consequently, in biomedical eng...
-
Chapter
Brainatic: A System for Real-Time Epileptic Seizure Prediction
A new system developed for real-time scalp EEG-based epileptic seizure prediction is presented, based on real time classification by machine learning methods, and named Brainatic. The system enables the consid...
