Search Results - (( leave application based algorithm ) OR ( leave application svm algorithm ))*
Search alternatives:
- leave application »
- application based »
- application svm »
- svm algorithm »
-
1
The comparative study of model-based and appearance based gait recognition for leave bag behind
Published 2018“…Meanwhile, the accuracy and misclassification rate (MER) of Model-based approaches obtained is 97.00% and 3.00% respectively tested on SVM classifier then the accuracy and misclassification rate (MER) of Model-based approaches is 99.00% and 1.00% respectively tested on KNN algorithm. …”
Get full text
Get full text
Get full text
Thesis -
2
Performance analysis of machine learning algorithms for classification of infection severity levels on rubber leaves
Published 2023“…Thus, this study was carried out to investigate the potential application of spectroscopic technology and machine learning algorithms to classify severity level of infected trees at early stage based on spectral data. …”
Get full text
Get full text
Get full text
Book Section -
3
The comparative study of model-based and appearance Based gait recognition for leave bag behind
Published 2018“…Meanwhile, the accuracy and misclassification rate (MER) of Model-based approaches obtained is 97.00% and 3.00% respectively tested on SVM classifier then the accuracy and misclassification rate (MER) of Model-based approaches is 99.00% and 1.00% respectively tested on KNN algorithm. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
4
Comparison of algorithm Support Vector Machine and C4.5 for identification of pests and diseases in chili plants
Published 2019“…In this study comparing the performance classification techniques of Support Vector Machine (SVM) and C4.5 algorithms. The attributes used consist of Leaves, Stems, and Fruits. …”
Get full text
Get full text
Conference or Workshop Item -
5
Effective gene selection techniques for classification of gene expression data
Published 2005“…Various k-means clustering algorithms and model-based clustering algorithms are proposed to group the genes. …”
Get full text
Get full text
Thesis -
6
Use of hybrid classification algorithm for land use and land cover analysis in data scarce environment
Published 2013“…A multi-date post-classification comparison algorithm was used to determine LULC changes in two intervals, 1986-1990, and 1990-2000. …”
Get full text
Get full text
Thesis -
7
Classification of Healthy Condition and Depression using functional Near Infrared Spectroscopy (fNIRS)
Published 2018“…Based results, this study stipulates that fNIRS has a bright potential as an application for the establishment of BCIs.…”
Get full text
Get full text
Final Year Project -
8
Discrete wavelet packet transform for electroencephalogram-based emotion recognition in the valence-arousal space
Published 2015Get full text
Get full text
Get full text
Conference or Workshop Item -
9
Assessment of near-infrared and mid-infrared spectroscopy for early detection of basal stem rot disease in oil palm plantation
Published 2013“…Linear discriminant analysis (LDA), quadratic discriminant analysis (QDA), k-nearest neighbor (kNN), Naïve-Bayes (NB), artificial neural networks (ANNs) and support vector machines (SVMs) classification techniques, were tested to classify the leaf and trunk samples into four levels of disease severity. The applicability of using band combinations extracted from mid-infrared spectroscopy (2.55-25.05 μm) for the detection of BSR disease in oil palm leaves was investigated using optimum index factor (OIF) and analysis of variance (ANOVA). …”
Get full text
Get full text
Thesis -
10
Development of interactive application for classification of Artocarpus Species
Published 2020“…The combination of Prewitt algorithm, Canny alogorithm, Gray-Level co-occurrence matrix will be used in SVM. …”
Get full text
Undergraduate Final Project Report -
11
Automated recognition of Ficus deltoidea using ant colony optimization technique
Published 2013“…At first, through image processing specified features are extracted from the Ficus deltoidea leaves such as vein, morphology and texture features and they construct a search space to be chosen for the optimal subset features that is selected by ACO algorithm as support vector machine (SVM) classify them. …”
Get full text
Get full text
Conference or Workshop Item -
12
-
13
Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning
Published 2016“…Most of the existing plant identification methods are based on both the global shape features and the intact plant leaves. …”
Get full text
Get full text
Thesis -
14
State of charge estimation for lithium-ion battery based on random forests technique with gravitational search algorithm
Published 2023Conference Paper -
15
Predicting the optimum compositions of a transdermal nanoemulsion system containing an extract of Clinacanthus nutans leaves (L.) for skin antiaging by artificial neural network mo...
Published 2017“…The model was applied to optimize the particle size of the transdermal nanoemulsion system containing an extract of C. nutans leaves for skin antiaging. Five universal learning algorithms—incremental back propagation, batch back propagation, quick propagation, genetic algorithm, and Levenberg-Marquardt—were used in the ANN to achieve the optimum topologies. …”
Get full text
Get full text
Get full text
Article -
16
-
17
-
18
Integration of image processing algorithm and deep learning approaches to monitor ginger plant
Published 2024Get full text
Get full text
Final Year Project / Dissertation / Thesis -
19
A web usage mining approach based on LCS algorithm in online predicting recommendation systems
Published 2008“…To provide online prediction efficiently, we advance an architecture for online predicting in Web Usage Mining system and propose a novel approach based on LCS algorithm for classifying user navigation patterns for predicting users' future requests. …”
Get full text
Get full text
Article -
20