scispace - formally typeset
S

Salviano Soares

Researcher at University of Trás-os-Montes and Alto Douro

Publications -  82
Citations -  645

Salviano Soares is an academic researcher from University of Trás-os-Montes and Alto Douro. The author has contributed to research in topics: Computer science & Interpolation. The author has an hindex of 9, co-authored 74 publications receiving 514 citations.

Papers
More filters
Journal ArticleDOI

Sun, wind and water flow as energy supply for small stationary data acquisition platforms

TL;DR: Experimental results prove that the prototype, the MPWiNodeX, can manage simultaneously the three energy sources for charging a NiMH battery pack, resulting in an almost perpetual operation of the evaluated ZigBee network router.
Proceedings ArticleDOI

Classification of Images of Childhood Pneumonia using Convolutional Neural Networks.

TL;DR: A comparative classification of Pneumonia using Convolution Neural Network using the dataset Labeled Optical Coherence Tomography and Chest X-Ray Images for Classification with an average accuracy of 95.30 % was described.
Journal ArticleDOI

Impact sound insulation technique using corn cob particleboard

TL;DR: A low technological corn cob particleboard has been under research by as discussed by the authors, which intends to be affordable and sustainable, and evaluated the impact sound insulation potential of the proposed particleboard, which indicated that the proposed product may also have an interesting acoustic behaviour for building purposes.
Proceedings ArticleDOI

Coexistence and Interference Tests on a Bluetooth Low Energy Front-End.

TL;DR: This study analysis the impact of a BLE sensor network on a crowded 2.4GHz room, with multiple Wi-Fi routers, ZigBee sensors and Bluetooth technology, and compares the results with the ones obtained inside an anechoic chamber on similar experiences.
Proceedings ArticleDOI

Models of Learning to Classify X-ray Images for the Detection of Pneumonia using Neural Networks.

TL;DR: A comparison of two neural networks, the multilayer perceptron and Neural Network, for the detection and classification of pneumonia, using the Chest-X-Ray data set provided by Kermany et al., 2018.