Identifying bee species by means of the foraging pattern using machine learning
H Arruda, V Imperatriz-Fonseca… - … Joint Conference on …, 2018 - ieeexplore.ieee.org
Bees are agents of nature that help provide about one third of the food we eat through a
process called pollination. The primary aim of this work is to classify bee species and this …
process called pollination. The primary aim of this work is to classify bee species and this …
[PDF][PDF] A low-power, reachable, wearable and intelligent IoT device for animal activity monitoring
L Durán López, D Gutiérrez Galán… - IJCCI 2019: 11th …, 2019 - core.ac.uk
Along with the proliferation of mobile devices and wireless signal coverage, IoT devices,
such as smart wristbands for monitoring its owner's activity or sleep patterns, get great …
such as smart wristbands for monitoring its owner's activity or sleep patterns, get great …
Implementing a distance estimator for a wildlife tracking system based on 802.15. 4
D Cascado-Caballero, L Duran-Lopez… - Electronics, 2019 - mdpi.com
In this work, a novel distance estimation mechanism using received signal strength
indication (RSSI) signals with ZigBee modules is designed, implemented and tested in …
indication (RSSI) signals with ZigBee modules is designed, implemented and tested in …
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 …