Prediction accuracy - Open Access .click

Results 51 to 60 of about 4,436,251 (260)

Short Term Wind Speed Prediction Based on VMD and DBN Combined Model Optimized by Improved Sparrow Intelligent Algorithm

IEEE Access, 2022
Accurate wind speed prediction can help the power department to perceive the change rule of wind power in advance, reduce the impact of wind power grid connection, and then improve the wind power consumption rate.
Lijuan Zhu, Wei Hu
doaj +1 more source

Maximum prediction accuracy.

, 2019
Maximum prediction accuracy.
Khalid M. Hosny (6598097) +3 more
core +1 more source

Developmental programmes drive cellular plasticity, disease progression and therapy resistance in lung adenocarcinoma

Molecular Oncology, EarlyView.
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source

Genomic Selection for Weaning Weight in Alpine Merino Sheep Based on GWAS Prior Marker Information

Animals
This study aims to compare the accuracy of genomic estimated breeding values (GEBV) estimated using a genomic best linear unbiased prediction (GBLUP) method and GEBV estimates incorporating prior marker information from a genome-wide association study ...
Haifeng Wang +7 more
doaj +1 more source

Minimizing production defect probability in industrial manufacturing using machine learning and bayesian optimization [PDF]

Journal of Applied Research on Industrial Engineering
Reducing defects in manufacturing presents a critical issue in achieving cost-effective, high-quality production. Though Machine Learning (ML) and Bayesian Optimization (BO) have been independently tested against defect prediction and process ...
Arman Rezasoltani +3 more
doaj +1 more source

Link prediction results (accuracy).

, 2019
Link prediction results (accuracy).
Min Song (57124) +5 more
core +1 more source

Neural network results on age prediction (accuracy).

, 2022
Neural network results on age prediction (accuracy).
Lida Kuang (13132907) +4 more
core +1 more source

A novel quinazolinone insulin receptor inhibitor and its synergy with an EGFR inhibitor in glucose‐driven glioblastoma

Molecular Oncology, EarlyView.
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka +9 more
wiley +1 more source

Training Population Design With the Use of Regional Fusarium Head Blight Nurseries to Predict Independent Breeding Lines for FHB Traits

Frontiers in Plant Science, 2020
Fusarium head blight (FHB) is a devastating disease in cereals around the world. Because it is quantitatively inherited and technically difficult to reproduce, breeding to increase resistance in wheat germplasm is difficult and slow.
Virginia L. Verges +3 more
doaj +1 more source

Prediction accuracy.

, 2014
(A) Prediction accuracy of exon inclusion categories from leave-one-out cross-validation by cell line being predicted. (B) Prediction accuracy by exon inclusion category comparison.
Ondrej Podlaha (353270) +3 more
core +1 more source

genomic selection
genomic prediction
machine learning

gwas
artificial neural network