A fusion of data science and feed-forward neural network-based modelling of COVID-19 outbreak forecasting in IRAQ
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Biomedical Informatics"
DOI: 10.1016/j.jbi.2021.103766
Abstract: Background: Iraq is among the countries affected by the COVID-19 pandemic. As of 2 August 2020, 129,151 COVID-19 cases were confirmed, including 91,949 recovered cases and 4,867 deaths. After the announcement of lockdown in early… read more here.
Keywords: feed forward; forward neural; covid outbreak; iraq ... See more keywords
Productivity modelling of a developed inclined stepped solar still system based on actual performance and using a cascaded forward neural network model
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Cleaner Production"
DOI: 10.1016/j.jclepro.2017.09.092
Abstract: Abstract This paper presents a cascaded forward neural network model for predicting the productivity of a developed inclined stepped solar still system. The actual recorded data of the developed inclined stepped solar still system is… read more here.
Keywords: system; solar still; productivity; model ... See more keywords
Fast and robust learning in Spiking Feed-forward Neural Networks based on Intrinsic Plasticity mechanism
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.07.009
Abstract: Abstract In this paper, the computational performance of a Spiking Feed-forward Neural Network (SFNN) is investigated based on a brain-inspired Intrinsic Plasticity (IP) mechanism, which is a membrane potential adaptive tuning scheme used to change… read more here.
Keywords: intrinsic plasticity; neural networks; plasticity mechanism; spiking feed ... See more keywords
Learn to Predict Sets Using Feed-Forward Neural Networks
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2021.3122970
Abstract: This paper addresses the task of set prediction using deep feed-forward neural networks. A set is a collection of elements which is invariant under permutation and the size of a set is not fixed in… read more here.
Keywords: neural networks; predict sets; using deep; forward neural ... See more keywords
Abstract 16866: Artificial Neural Networks as Prediction Tools: Predicting Permanent Pacemaker Implantation (PPMI) in Patients Undergoing Transcatheter Aortic Valve Replacement (TAVR) Utilizing a Shallow Feed-Forward Neural Network
Sign Up to like & getrecommendations! Published in 2020 at "Circulation"
DOI: 10.1161/circ.142.suppl_3.16866
Abstract: Introduction: Despite increasing TAVR volumes after a series of recent favorable clinical trials, adverse outcomes remain frequent, including new or worsened conduction disease requiring PPMI, life-threatening bleeding, paravalvular leak, and stroke. PPMI carries a reported… read more here.
Keywords: tavr; neural networks; forward neural; ppmi ... See more keywords
Real-time and accurate estimation ex vivo of four basic optical properties from thin tissue based on a cascade forward neural network.
Sign Up to like & getrecommendations! Published in 2023 at "Biomedical optics express"
DOI: 10.1364/boe.489079
Abstract: Double integrating sphere measurements obtained from thin ex vivo tissues provides more spectral information and hence allows full estimation of all basic optical properties (OPs) theoretically. However, the ill-conditioned nature of the OP determination increases… read more here.
Keywords: four basic; basic optical; real time; forward neural ... See more keywords