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[PDF] Top 20 Methods for improving the accuracy of automated NDE systems

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Methods for improving the accuracy of automated NDE systems

Methods for improving the accuracy of automated NDE systems

... inspection systems using twin six-axis industrial robots have been available for a number of years, including the IntACom system at TWI ...of methods for improving and quantifying the accuracy ... See full document

9

Improving the accuracy of general perturbations methods of spacecraft lifetime analysis

Improving the accuracy of general perturbations methods of spacecraft lifetime analysis

... perturbations methods (often referred to as ‘analytical methods’) for orbit lifetime analysis and many methods exist, for example the various methods presented by King-Hele and co-authors ... See full document

6

ANN based method for improving gold price forecasting accuracy through modified gradient descent methods

ANN based method for improving gold price forecasting accuracy through modified gradient descent methods

... for improving gold price forecasting accuracy ...scenario, methods based on application of AI are inherently capable of making suitable ...AI methods lie in their ability to model complex and ... See full document

12

Improving the accuracy of orbit lifetime analysis using enhanced general perturbations methods

Improving the accuracy of orbit lifetime analysis using enhanced general perturbations methods

... inclusion or exclusion of atmospheric density in the formulation of B* as is shown by Equations 1-6. The inclusion of density in B* can be seen to have a significantly negative impact on predic- tions accuracy; ... See full document

14

New Methods for Improving Accuracy in Three Distinct Predictive Modeling Problems

New Methods for Improving Accuracy in Three Distinct Predictive Modeling Problems

... Traditionally, a global model is fitted to the entire dataset to optimize the average model performance. It is quite possible that the prediction of some subsets of data under the global model does not perform as well. ... See full document

119

Active Learning with Efficient Feature Weighting Methods for Improving Data Quality and Classification Accuracy

Active Learning with Efficient Feature Weighting Methods for Improving Data Quality and Classification Accuracy

... In this paper, we explored an active learning ap- proach to improve data annotation quality for classification tasks. Instead of training the ac- tive learner using computationally expensive tech- niques (e.g., SVM-TF), ... See full document

9

Survey on Lazy Ensemble Methods for Improving Accuracy of Lazy Learner

Survey on Lazy Ensemble Methods for Improving Accuracy of Lazy Learner

... This survey defines that Lazy ensemble is the best approach to build lazy learner in that lazy stacking is outperforms then other ensemble methods as per the analysis. Lazy Ensembles is applied on only numeric ... See full document

6

Improving the Estimation Accuracy Based on Wavelet Transform

Improving the Estimation Accuracy Based on Wavelet Transform

... With regard to all those literature reviews, this study attempts to employ the proposed method to the daily stock market data from ASE. Three selected estimation models are used in the proposed method comparison to ... See full document

14

IMPROVING THE ACCURACY FOR SENTENCE LEVEL SENTIMENT ANALYSIS

IMPROVING THE ACCURACY FOR SENTENCE LEVEL SENTIMENT ANALYSIS

... and opinion mining purposes. They perform linguistic analysis of the collected corpus and explain discovered phenomena. Using the corpus, they build a sentiment classifier that is able to determine positive, negative and ... See full document

5

Improving and maintaining prediction accuracy in agent based modeling systems under dynamic environment

Improving and maintaining prediction accuracy in agent based modeling systems under dynamic environment

... a computational model. With this, it tends to take a big step towards replicating the cognitive capabilities of a human brain. In other words, artificial neural networks aim at generalizing the mathematical models that ... See full document

133

Improving Classification Accuracy Using Clustering Technique

Improving Classification Accuracy Using Clustering Technique

... The dimensionality of the data especially in machine learning and data mining tasks has increased dynamically. High dimensionality data provides difficult challenges to existing learning methods [11]. The presence ... See full document

6

Accuracy of using automated methods for detecting adverse events from electronic health record data: a research protocol

Accuracy of using automated methods for detecting adverse events from electronic health record data: a research protocol

... monitoring systems, evaluate different interventions aimed at improving patient safety, track progress in patient safety through time, or benchmark performance at the local or national ...these ... See full document

9

Improving accuracy of recommender systems through triadic closure

Improving accuracy of recommender systems through triadic closure

... Various methods exist for evaluating a recommender system, some of them having their roots in information retrieval and machine learning research ...recommender systems, it is crucial to evaluate the system ... See full document

175

Improving Accuracy in word class tagging through the Combination of Machine Learning Systems

Improving Accuracy in word class tagging through the Combination of Machine Learning Systems

... In Proceedings of the 1999 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, pages 187-194... The Tagged LOB Corpus: User's Manual.[r] ... See full document

32

Systems and Methods for Measuring and Improving End-User Application Performance on Mobile Devices

Systems and Methods for Measuring and Improving End-User Application Performance on Mobile Devices

... the accuracy of the models generated by the adaptive sampling technique by comparing it with mappings that use linaer and polynomial ...the accuracy of our adaptive sampling technique with linear and 2nd to ... See full document

200

Improving the Geotagging Accuracy of Street-level Images

Improving the Geotagging Accuracy of Street-level Images

... the underlying relationship between the images [40]. Many robust and accu- rate multi-modal registration algorithms have been developed based on their approach, and Maintz et al. have survayed some of these algorithms ... See full document

136

Improving the Accuracy of Subcategorizations Acquired from Corpora

Improving the Accuracy of Subcategorizations Acquired from Corpora

... Recently, a variety of methods have been proposed for acquisition of subcategorization frames (SCFs) from corpora (surveyed in (Korhonen, 2002)). One interesting possibility is to use these tech- niques to improve ... See full document

6

Improving the Accuracy of the Solutions of
 Riccati Equations

Improving the Accuracy of the Solutions of Riccati Equations

... In this method, the time interval is divided into n equal subintervals and the method is applied once to each subinterval. Abbasbandy solved the Riccati equation by the homo- topy perturbation method [1], the iterated ... See full document

10

Prenatal diagnosis of LUTO: improving diagnostic accuracy

Prenatal diagnosis of LUTO: improving diagnostic accuracy

... Methods This was a national retrospective study carried out at the eight tertiary fetal medicine units (FMUs) in The Netherlands. Only cases referred for megacystis from the second trimester onwards and with a ... See full document

6

Evaluation of Accuracy and Repeatability of Identification of Food Borne Pathogens by Automated Bacterial Identification Systems

Evaluation of Accuracy and Repeatability of Identification of Food Borne Pathogens by Automated Bacterial Identification Systems

... VITEK systems both showed good sensitivities and specificities for the identification of ...three systems were slightly higher for reference positive isolates than for reference negative isolates, ranging ... See full document

6

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