Key Challenges and Emerging Technologies in Industrial IoT Architectures: A Review

Autor: Akseer Ali Mirani, Gustavo Velasco-Hernandez, Anshul Awasthi, Joseph Walsh

Publikováno v: Sensors, Vol 22, Iss 15, p 5836 (2022)

The Industrial Internet of Things (IIoT) is bringing evolution with remote monitoring, intelligent analytics, and control of industrial processes. However, as the industrial world is currently in its initial stage of adopting full-stack development s

Externí odkaz: https://doaj.org/article/716b84a5e5914704a7c91b5fe688884a

Determination of renal length and volume through ultrasound scanning in newborn infants considered normal according to WHO criteria. A descriptive, observational, cross-sectional study and literature review

Autor: María Eugenia Victoria Bianchi, Germán Darío López, Ana María Tauguinas, Gustavo Velasco, Daniel Forlino

Publikováno v: Revista de Nefrología, Diálisis y Trasplante, Vol 36, Iss 4, Pp 211-221 (2016)

Introduction: Renal mass and glomerular number correlate significantly in infants under the age of 3 months and in normal adults, but both of them can only be measured ex vivo. On the other hand, renal volume (RV), also proportional to renal mass, ca

Externí odkaz: https://doaj.org/article/7c1567df866b4f6a855d114be2a9a100

One-Shot Learning for Custom Identification Tasks; A Review

Autor: O’ Mahony, N., Campbell, Sean, Carvalho, Anderson, Krpalkova, L., Hernandez, Gustavo Velasco, Harapanahalli, Suman, Riordan, D., Walsh, J.

Publikováno v: In Procedia Manufacturing 2019 38:186-193

One-Shot Learning for Custom Identification Tasks; A Review

Autor: Niall O' Mahony, Lenka Krpalkova, Anderson Carvalho, Gustavo Velasco Hernandez, Daniel Riordan, Sean Campbell, Joseph Walsh, Suman Harapanahalli

Publikováno v: Procedia Manufacturing. 38:186-193

Deep Learning has great achievements in computer vision for various classification and regression tasks. The automation of tasks such as component sorting, bin-picking and anomaly detection may be of great use in the process industry. However, most m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f8ebb70128e9a7643b498b0658ee615c
https://doi.org/10.1016/j.promfg.2020.01.025

Understanding and Exploiting Dependent Variables with Deep Metric Learning

Autor: Anderson Carvalho, Sean Campbell, Joseph Walsh, Gustavo Velasco-Hernandez, Daniel Riordan, Niall O'Mahony, Lenka Krpalkova

Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9783030551797
IntelliSys (1)
Advances in Intelligent Systems and Computing
Advances in Intelligent Systems and Computing-Intelligent Systems and Applications

Deep Metric Learning (DML) approaches learn to represent inputs to a lower-dimensional latent space such that the distance between representations in this space corresponds with a predefined notion of similarity. This paper investigates how the mappi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fd5116d6117d4bdf12e7da669088f07