Search Results - (( data replication method algorithm ) OR ( data combination method algorithm ))
Search alternatives:
- replication method »
- method algorithm »
- data combination »
-
1
A framework for automatic modelling of survival using fuzzy inference.
Published 2012“…Further, the rule base can be established by enumerating all possible combinations of membership functions of all inputs. After the initialisation of the fuzzy inference structure, the replication data (until time to event) will be subject to be trained using the gradient descent and nonnegative least square algorithm to estimate the conditional event probability. …”
Get full text
Get full text
Conference or Workshop Item -
2
A Novel Path Prediction Strategy for Tracking Intelligent Travelers
Published 2009“…The FCM nodes are a novel selection of kinematical factors. Genetic algorithm (GA) is then used to train the FCM to be able to replicate the decisional behaviors of the intelligent traveler. …”
Get full text
Get full text
Thesis -
3
HARC-New Hybrid Method with Hierarchical Attention Based Bidirectional Recurrent Neural Network with Dilated Convolutional Neural Network to Recognize Multilabel Emotions from Text
Published 2021“…The accuracy of the proposed HARC method was 82.50 percent IMDB, 98.00 percent for toxic data, 92.31 percent for Cornflower, and 94.60 percent for Emotion recognition data. …”
Get full text
Get full text
Get full text
Article -
4
-
5
Dynamic replication algorithm in data grid: Survey
Published 2008“…For improving the performance of file accesses and to ease the sharing amongst distributed collaboration, such a system needs replication services. Data replication is a common method used to improve the performance of data access in distributed systems. …”
Get full text
Get full text
Get full text
Book Section -
6
Enhanced replication strategy with balanced quorum technique and data center selection method in cloud environment
Published 2022“…In order to mitigate the issues, ‘cloud data replication’ is commonly implemented for better data performance and promising business continuity. …”
Get full text
Get full text
Thesis -
7
Development of a hybrid machine learning model for rockfall source and hazard assessment using laser scanning data and GIS
Published 2019“…The proposed BANN model achieved the best training accuracies of (95%) and best prediction accuracies of (92%) based on testing data compared to other employed methods. …”
Get full text
Get full text
Thesis -
8
Adaptive persistence layer for synchronous replication (PLSR) in heterogeneous system
Published 2011“…The motivation of implementation is to make sure the data replication is easy to maintain and cost effective. …”
Get full text
Get full text
Thesis -
9
Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms
Published 2005“…In cluster generating process, the developed BBSI algorithm was used to select the best band combination for generating cluster by using Iterative self- Organizing Data Analysis (ISODATA) technique. …”
Get full text
Get full text
Thesis -
10
-
11
Neural Networks Ensemble: Evaluation of Aggregation Algorithms for Forecasting
Published 2013“…These algorithms include equal�weights combination of Best NN models, combination of trimmed forecasts, combination through Variance-Covariance method and Bayesian Model Averaging. …”
Get full text
Get full text
Thesis -
12
Group method of data handling with artificial bee colony in combining forecasts
Published 2018“…This study is done by combining individual forecasts of Group Method of Data Handling models using the weighted-based combine approach. …”
Get full text
Get full text
Article -
13
An efficient secure ECG compression based on 2D-SPIHT and SIT algorithm
Published 2017“…This research proposes an efficient combination of a compression and an encryption algorithms. …”
Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
14
Ideal combination feature selection model for classification problem based on bio-inspired approach
Published 2020“…The important step is to idealize the combined feature selection models by finding the best combination of search method and feature selection algorithms. …”
Get full text
Get full text
Book Section -
15
-
16
A guided hybrid k-means and genetic algorithm models for children handwriting legibility performance assessment / Norzehan Sakamat
Published 2021“…The combined method is called Hybrid K-MeansCGA. Modifications of K-Means structures were done by inserting genetic algorithm operators and tuning the population. …”
Get full text
Get full text
Thesis -
17
Technical job distribution at BSD SHARP service center using combination of naïve Bayes and K-Nearest neighbour
Published 2022“…Meanwhile, k-NN algorithm is used to classify the experimental data. …”
Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
18
Robust combining methods in committee neural networks
Published 2011“…Therefore, we have used a Genetic Algorithm (GA) method to combine the individuals with the Huber and Bisquare as the fitness functions. …”
Get full text
Get full text
Conference or Workshop Item -
19
-
20
Shape-based recognition using combined Jaccard and Mahalanobis measurement / Noor Aznimah Abdul Aziz
Published 2013“…This proposed combined algorithms and techniques can achieve high performance in shape similarity measurement recognition and also the masking technique in Mahalanobis distance measurement can reduce the amount of data analysis.…”
Get full text
Get full text
Thesis