Results 41 to 50 of about 4,208,808 (305)

Reliability and validity in comparative studies of software prediction models [PDF]

, 2005
Empirical studies on software prediction models do not converge with respect to the question "which prediction model is best?" The reason for this lack of convergence is poorly understood.
I. Myrtveit, E. Stensrud, Myrtveit, I, Shepperd, MJ, Stensrud, E, M. Shepperd   +5 more
core   +2 more sources

Hybrid Real-Value-Genetic-Algorithm and Extended-Nelder- Mead Algorithm for Short Term Energy Demand Prediction

Journal of ICT
Energy consumption planning of an area is very important. It is essential to accurately predict the amount of short-term power required by an area using a highly effective prediction technique.
Wahab Musa, Ku Ruhana Ku-Mahamud, Sardi Salim, Agung Sediyono   +3 more
doaj   +1 more source

Genomic Selection at Preliminary Yield Trial Stage: Training Population Design to Predict Untested Lines

Agronomy, 2020
Genomic selection (GS) is being applied routinely in wheat breeding programs. For the evaluation of preliminary lines, this tool is becoming important because preliminary lines are generally evaluated in few environments with no replications due to the ...
Virginia L. Verges, David A. Van Sanford   +1 more
doaj   +1 more source

Prediction Accuracy of Dynamic Mode Decomposition

SIAM Journal on Scientific Computing, 2020
Dynamic mode decomposition (DMD), which the family of singular-value decompositions (SVD), is a popular tool of data-driven regression. While multiple numerical tests demonstrated the power and efficiency of DMD in representing data (i.e., in the interpolation mode), applications of DMD as a predictive tool (i.e., in the extrapolation mode) are scarce.
Hannah Lu, Daniel M. Tartakovsky
openaire   +4 more sources

Enhancing Genomic Prediction Accuracy of Reproduction Traits in Rongchang Pigs Through Machine Learning

Animals
The increasing volume of genome sequencing data presents challenges for traditional genome-wide prediction methods in handling large datasets. Machine learning (ML) techniques, which can process high-dimensional data, offer promising solutions.
Junge Wang, Jie Chai, Li Chen, Tinghuan Zhang, Xi Long, Shuqi Diao, Dong Chen, Zongyi Guo, Guoqing Tang, Pingxian Wu   +9 more
doaj   +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

Quantitative genetics theory for genomic selection and efficiency of breeding value prediction in open-pollinated populations

Scientia Agricola, 2016
To date, the quantitative genetics theory for genomic selection has focused mainly on the relationship between marker and additive variances assuming one marker and one quantitative trait locus (QTL).
José Marcelo Soriano Viana, Hans-Peter Piepho, Fabyano Fonseca e Silva   +2 more
doaj   +1 more source

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

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

Field-based branch prediction for packet processing engines [PDF]

, 2009
Network processors have exploited many aspects of architecture design, such as employing multi-core, multi-threading and hardware accelerator, to support both the ever-increasing line rates and the higher complexity of network applications.
Bermingham, David, Wang, Xiaojun, Liu, Bin, David Bermingham, Zhen Liu, Bin Liu, Liu, Zhen, Xiaojun Wang   +7 more
core   +2 more sources