Deep neural networks for the recognition and classification of heart murmurs using neuromorphic auditory sensors
JP Dominguez-Morales… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Auscultation is one of the most used techniques for detecting cardiovascular diseases,
which is one of the main causes of death in the world. Heart murmurs are the most common …
which is one of the main causes of death in the world. Heart murmurs are the most common …
[HTML][HTML] Machine learning-based sensor data fusion for animal monitoring: Scoping review
CA Aguilar-Lazcano, IE Espinosa-Curiel… - Sensors, 2023 - mdpi.com
The development of technology, such as the Internet of Things and artificial intelligence, has
significantly advanced many fields of study. Animal research is no exception, as these …
significantly advanced many fields of study. Animal research is no exception, as these …
Good Intentions, Risky Inventions: A Method for Assessing the Risks and Benefits of AI in Mobile and Wearable Uses
M Constantinides, E Bogucka, S Scepanovic… - arXiv preprint arXiv …, 2024 - arxiv.org
Integrating Artificial Intelligence (AI) into mobile and wearables offers numerous benefits at
individual, societal, and environmental levels. Yet, it also spotlights concerns over emerging …
individual, societal, and environmental levels. Yet, it also spotlights concerns over emerging …
Behavior recognition and maternal ability evaluation for sows based on triaxial acceleration and video sensors
G Sun, C Shi, J Liu, P Ma, J Ma - IEEE Access, 2021 - ieeexplore.ieee.org
To reduce the high pre-weaning mortality rate of new-born piglets crushed by sows, a kind of
recognition and evaluation method for sows' behavior based on the scheme of time-sharing …
recognition and evaluation method for sows' behavior based on the scheme of time-sharing …
A SpiNNaker application: design, implementation and validation of SCPGs
B Cuevas-Arteaga, JP Dominguez-Morales… - … : 14th International Work …, 2017 - Springer
In this paper, we present the numerical results of the implementation of a Spiking Central
Pattern Generator (SCPG) on a SpiNNaker board. The SCPG is a network of current-based …
Pattern Generator (SCPG) on a SpiNNaker board. The SCPG is a network of current-based …
Real-time detection of bursts in neuronal cultures using a Neuromorphic Auditory Sensor and Spiking Neural Networks
The correct identification of burst events is crucial in many scenarios, ranging from basic
neuroscience to biomedical applications. However, none of the burst detection methods that …
neuroscience to biomedical applications. However, none of the burst detection methods that …
Semi-wildlife gait patterns classification using statistical methods and artificial neural networks
D Gutierrez-Galan… - … Joint Conference on …, 2017 - ieeexplore.ieee.org
Several studies have focused on classifying behavioral patterns in wildlife and captive
species to monitor their activities and so to understanding the interactions of animals and …
species to monitor their activities and so to understanding the interactions of animals and …
Accuracy Improvement of Neural Networks Through Self-Organizing-Maps over Training Datasets
D Gutierrez-Galan, JP Dominguez-Morales… - … : 14th International Work …, 2017 - Springer
Although it is not a novel topic, pattern recognition has become very popular and relevant in
the last years. Different classification systems like neural networks, support vector machines …
the last years. Different classification systems like neural networks, support vector machines …