Results 61 to 70 of about 872,279 (317)

An improved cloud recognition and classification method for photovoltaic power prediction based on total-sky-images

open access: yesThe Journal of Engineering, 2019
The rapid variation of irradiance due to cloud movements and occlusions is the main factor causing the fluctuation of photovoltaic (PV) power generation.
Jiacheng Tang   +4 more
doaj   +1 more source

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

open access: yesIEEE 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

Improving the Accuracy of Industrial Robots by offline Compensation of Joints Errors [PDF]

open access: yes, 2012
The use of industrial robots in many fields of industry like prototyping, pre-machining and end milling is limited because of their poor accuracy. Robot joints are mainly responsible for this poor accuracy.
BEAREE, Richard   +14 more
core   +1 more source

Scope 3 emissions: Data quality and machine learning prediction accuracy

open access: yes, 2023
Investors’ sophistication on climate risk is increasing and as part of this they require high-quality and comprehensive Scope 3 emissions data. Accordingly, we investigate Scope 3 emissions data divergence (across different providers), composition (which
Kitto, Adam   +5 more
core   +1 more source

Tumor B‐cell infiltration in platinum‐treated advanced muscle‐invasive urothelial carcinoma

open access: yesMolecular Oncology, EarlyView.
Bladder tumors with higher pretreatment memory B‐cell infiltration were linked to longer survival after cisplatin chemotherapy, but not carboplatin. These tumors also showed more organized immune structures (tertiary lymphoid structures) and a shared pro‐inflammatory B‐cell‐rich community, suggesting that memory B cells may help identify patients most ...
Konrad Stawiski   +10 more
wiley   +1 more source

Randomizing Outputs to Increase Prediction Accuracy [PDF]

open access: yesMachine Learning, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Comparing Predictive Accuracy [PDF]

open access: yesJournal of Business & Economic Statistics, 1995
Using research designs patterned after randomized experiments, many recent economic studies examine outcome measures for treatment groups and comparison groups that are not randomly assigned. By using variation in explanatory variables generated by changes in state laws, government draft mechanisms, or other means, these studies obtain variation that ...
Mariano, Roberto S., Diebold, Francis X.
openaire   +3 more sources

Conotoxin Prediction: New Features to Increase Prediction Accuracy

open access: yesToxins, 2023
Conotoxins are toxic, disulfide-bond-rich peptides from cone snail venom that target a wide range of receptors and ion channels with multiple pathophysiological effects. Conotoxins have extraordinary potential for medical therapeutics that include cancer, microbial infections, epilepsy, autoimmune diseases, neurological conditions, and cardiovascular ...
Lyman K. Monroe   +8 more
openaire   +3 more sources

Patient therapy outcome modeling in cancer organoids is improved by cancer‐associated fibroblasts and organoid assembly convolution

open access: yesMolecular Oncology, EarlyView.
Patient‐derived organoids (PDOs) from pancreatic, colorectal, and gastric cancers were used to evaluate standard and experimental therapies. Incorporating cancer‐associated fibroblasts (CAFs) into organoid cultures improved patient therapy outcome prediction.
Marcin Grochowski   +12 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

open access: yesFrontiers 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

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