Results 41 to 50 of about 879,596 (317)

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

open access: yesAnimals
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   +9 more
doaj   +1 more source

Employing Variable Cross-Reference Prediction and Iterative Dispatch to Raise Dynamic Branch Prediction Accuracy [PDF]

open access: yes, 2010
To improve branch prediction accuracy for the two-level adaptive branch predictor, two schemes dealing respectively with the prediction and dispatch parts, are presented in this paper.
莊博任; Chuang, Po-jen; 邱育賢; Chiu, Yu-shian; 蕭永宗; HsiaoYoung-tzong; Liau, Yue-ter
core   +1 more source

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

open access: yesTehnički 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   +1 more
doaj   +1 more source

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

open access: yesIEEE 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

Estimating the Predictive Accuracy of a Classifier [PDF]

open access: yes, 2001
This paper investigates the use of meta-learning to estimate the predictive accuracy of a classifier. We present a scenario where meta-learning is seen as a regression task and consider its potential in connection with three strategies of dataset characterization.
Hilan Bensusan, Alexandros Kalousis
openaire   +1 more source

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

open access: yesJournal 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

Ironic Medications: A Narrative‐Based Psycho‐Educational Intervention to Explore Patient–Provider Communication in Adolescents With Haematological Cancer

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Adolescents with haematological malignancies face significant emotional and relational challenges, often accompanied by difficulties in communicating their needs within the healthcare context. To address these issues, a narrative‐based psycho‐educational intervention based on the creation and prescription of Ironic Medications was ...
Marta Stoppa   +7 more
wiley   +1 more source

New ideas and emerging research: evaluating prediction system accuracy [PDF]

open access: yes, 2011
BACKGROUND: Prediction e.g. of project cost is an important concern in software engineering. PROBLEM: Although many empirical validations of software engineering prediction systems have been published, no one approach dominates and sense-making of ...
Shepperd, M
core  

Modeling Spatio-Temporal Precipitation Patterns in East Kalimantan using Space-Time Kriging and Median Polish-Based Spatio-Temporal Kriging

open access: yesJTAM (Jurnal Teori dan Aplikasi Matematika)
Precipitation variability presents significant challenges for disaster risk reduction and water resource management, particularly in flood and drought-prone regions such as East Kalimantan.
Friendtika Miftaqul Jannah   +2 more
doaj   +1 more source

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

open access: yesScientia 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   +2 more
doaj   +1 more source

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