Results 41 to 50 of about 2,150,687 (292)

Using Artificial Neural Network for Predicting and Evaluating Situation Awareness of Operator

IEEE Access, 2021
The decrease of situation awareness (SA) is one of reasons leading to human factor accidents in nuclear power plants. The main purpose of this paper is to the evaluation and prediction the operators’ SA in digital main control room.
Shengyuan Yan, Kai Yao, Cong Chi Tran
doaj   +1 more source

Neural Networks in Bankruptcy Prediction - A Comparative Study on the Basis of the First Hungarian Bankruptcy Model [PDF]

, 2005
The article attempts to answer the question whether or not the latest bankruptcy prediction techniques are more reliable than traditional mathematical–statistical ones in Hungary.
Kristóf, Tamás, Virág, Miklós
core   +1 more source

Guaranteeing Canadian lamb meat quality using near-infrared spectroscopy on intact rack [PDF]

, 2017
Lamb racks from commercial carcasses were scanned using near-infrared spectroscopy. The prediction accuracies (R 2) for meat quality traits were assessed. Prediction accuracy ranged between 0.40 and 0.94.
Aalhus, Jennifer L., Dugan, Mer, Galbraith, Jayson, Horcada Ibáñez, Alberto Luis, Hosford, Susan, Juarez, M., Larsen, Ivy L., López-Campos, Óscar, Prieto, Nuria, Roberts, Jordan Cyril, Uttaro, Bethany   +10 more
core   +1 more source

A Deep Learning Approaches for Enhancing Clinical Solutions to Cardiovascular Prediction Using EHR

Tehnički Glasnik
The prediction of cardiovascular disease gained immense significance in the medical field with the alignment of increasing focus on promoting healthier lifestyle.
Mounika Valasapalli, Nallagatla Raghavendra Sai   +1 more
doaj   +1 more source

Genomic selection for resistance to spruce budworm in white spruce and relationships with growth and wood quality traits

Evolutionary Applications, 2020
With climate change, the pressure on tree breeding to provide varieties with improved resilience to biotic and abiotic stress is increasing. As such, pest resistance is of high priority but has been neglected in most tree breeding programs, given the ...
Jean Beaulieu, Simon Nadeau, Chen Ding, Jose M. Celedon, Aïda Azaiez, Carol Ritland, Jean‐Philippe Laverdière, Marie Deslauriers, Greg Adams, Michele Fullarton, Joerg Bohlmann, Patrick Lenz, Jean Bousquet   +12 more
doaj   +1 more source

Enhancing construction safety management through multivariable grey model analysis and variable selection optimization

Journal of Civil Engineering and Management
In this study, a multivariable grey model (GM(1, N)) is employed to explore how different combinations of variables impact the accuracy of construction accident prediction, using a full permutation algorithm.
Jian Liu, Ye He, Rui Feng, Qinlin Chu
doaj   +1 more source

Scalable Sparse Testing Genomic Selection Strategy for Early Yield Testing Stage

Frontiers in Plant Science, 2021
To enable a scalable sparse testing genomic selection (GS) strategy at preliminary yield trials in the CIMMYT maize breeding program, optimal approaches to incorporate genotype by environment interaction (GEI) in genomic prediction models are explored ...
Sikiru Adeniyi Atanda, Sikiru Adeniyi Atanda, Sikiru Adeniyi Atanda, Michael Olsen, Jose Crossa, Juan Burgueño, Renaud Rincent, Daniel Dzidzienyo, Yoseph Beyene, Manje Gowda, Kate Dreher, Prasanna M. Boddupalli, Pangirayi Tongoona, Eric Yirenkyi Danquah, Gbadebo Olaoye, Kelly R. Robbins   +15 more
doaj   +1 more source

Generality Is Predictive of Prediction Accuracy [PDF]

, 2006
During knowledge acquisition it frequently occurs that multiple alternative potential rules all appear equally credible. This paper addresses the dearth of formal analysis about how to select between such alternatives. It presents two hypotheses about the expected impact of selecting between classification rules of differing levels of generality in the
Geoffrey I. Webb, Damien Brain
openaire   +1 more source

Prediction Accuracy and Autonomy

, 2022
The tech industry has been criticised for designing applications that undermine individuals' autonomy. Recommender systems, in particular, have been identified as a suspected culprit that might exercise unwanted control over peoples' lives. In this article we try to assess the objectives of recommender system research and offer a nuanced discussion of ...
Angwald, Anton, Areskoug, Kalle, Said, Alan   +2 more
openaire   +2 more sources

Audiovisual biofeedback improves motion prediction accuracy [PDF]

Medical Physics, 2013
Purpose:The accuracy of motion prediction, utilized to overcome the system latency of motion management radiotherapy systems, is hampered by irregularities present in the patients’ respiratory pattern. Audiovisual (AV) biofeedback has been shown to reduce respiratory irregularities.
Sean, Pollock, Danny, Lee, Paul, Keall, Taeho, Kim   +3 more
openaire   +2 more sources