Search Results - (( based segmentation using algorithm ) OR ( parameter validation using algorithm ))
Search alternatives:
- parameter validation »
- based segmentation »
- validation using »
- using algorithm »
-
1
An enhanced segment particle swarm optimization algorithm for kinetic parameters estimation of the main metabolic model of Escherichia coli
Published 2020“…In this study, an Enhanced Segment Particle Swarm Optimization algorithm (ESe-PSO) was proposed for kinetic parameters estimation. …”
Get full text
Get full text
Get full text
Article -
2
Automatic control of flotation process using computer vision
Published 2015“…The performance of improved marker based watershed algorithm was validated by using several industrial and laboratory froth images. …”
Get full text
Get full text
Thesis -
3
A hyper-heuristic based strategy for image segmentation using multilevel thresholding
Published 2025“…EMCQ uses four low-level heuristic sets adopted from the teaching learning-based optimisation (TLBO) algorithm, flower pollination algorithm (FPA), genetic algorithm (GA), and Jaya algorithm. …”
Get full text
Get full text
Get full text
Article -
4
A hyper-heuristic based strategy for image segmentation using multilevel thresholding
Published 2025“…EMCQ uses four low-level heuristic sets adopted from the teaching learning-based optimisation (TLBO) algorithm, flower pollination algorithm (FPA), genetic algorithm (GA), and Jaya algorithm. …”
Get full text
Get full text
Get full text
Article -
5
Deep Learning Based image segmentation for expensive soil desiccation crack recognition and qualification
Published 2025“…This study investigated the feasibility and effectiveness of image-based techniques using advanced deep learning algorithms to quantify desiccation cracks in expansive soils. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
6
Fully automated segmentation of the left ventricle in cine cardiac magnetic resonance imaging / Tan Li Kuo
Published 2018“…In this thesis, two fully automatic algorithms for cardiac MRI were presented: the first for localization of the LV blood pool – a sub-problem for enabling subsequent automatic segmentation; and the second for segmentation of the LV with full coverage from base to apex across all cardiac phases. …”
Get full text
Get full text
Get full text
Thesis -
7
Detection of corneal arcus using rubber sheet and machine learning methods
Published 2019“…The elements extracted from the confusion matrix parameters (i.e. accuracy, specificity, sensitivity, AUC, precision and f-score) are used in benchmarking the optimal performance of classification algorithms. …”
Get full text
Get full text
Thesis -
8
-
9
Optimized techniques for landslide detection and characteristics using LiDAR data
Published 2018“…In this task, two neural network algorithms, Recurrent Neural Networks (RNN) and Multi-Layer Perceptron Neural Networks (MLP-NN) were used and the hyper-parameters of the network architecture was optimized based on a systematic grid search. …”
Get full text
Get full text
Get full text
Thesis -
10
-
11
Analytical framework for predicting online purchasing behavior in Malaysia using a machine learning approach
Published 2025“…It is organized into three phases: preliminary investigation, implementation and analysis, and validation. The descriptive analysis examines purchasing behavior through correlation and regression analyses, while the predictive model uses decision trees (J48, Random Tree, REPTree), rule-based algorithms (JRip, OneR, PART), and clustering (K-Means) to identify patterns and predict trends. …”
Get full text
Get full text
Thesis -
12
Computer aided diagnoses for detecting the severity of Keratoconus
Published 2024“…A P-value of <0.001 indicated significant and clear link between KC stages and pathologic ratio. Conclusion: The algorithm used for extracting the cone base area of the keratoconic cornea at different stages was validated by an ophthalmic specialist to ensure that the cone base area was appropriately extracted. …”
Get full text
Get full text
Get full text
Article -
13
Image segmentation based on normalised cuts with clustering algorithm
Published 2013“…With the approach applied in the normalised cuts based image segmentation, the constraint of using normalised cuts algorithm in image segmentation can be alleviated. …”
Get full text
Get full text
Get full text
Thesis -
14
An evolutionary harmony search algorithm with dominant point detection for recognition-based segmentation of online Arabic text recognition
Published 2014“…Then, GA and HS algorithms are used as recognition-based segmentation phase for text and character recognition respectively. …”
Get full text
Get full text
Article -
15
An improved fast scanning algorithm based on distance measure and threshold function in region image segmentation
Published 2016“…Various algorithms have been proposed for image segmentation and this includes the Fast Scanning algorithm which has been employed on food, sport and medical image segmentation. …”
Get full text
Get full text
Get full text
Thesis -
16
Effects of Different Superpixel Algorithms on Interactive Segmentations
Published 2022“…The superpixels generated by these five algorithms will be used on two interactive image segmentation algorithms: i) Maximal Similarity based Region Merging (MSRM) and ii) Graph-Based Manifold Ranking (GBMR) with single and multiple strokes on various images from the Berkeley image dataset. …”
Get full text
Get full text
Get full text
Article -
17
Customer segmentation on clustering algorithms
Published 2023“…Then, k-means, DBSCAN, and GMM clustering algorithms are applied to segment customers based on their buying behaviour. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
18
UNSUPERVISED SEGMENTATION OF CORAL REEF IMAGES BY USING COLOR AND TEXTURE FEATURES
Published 2022“…The unsupervised segmentation of color-texture regions using J-value segmentation (JSEG) algorithm is one of the most popular and robust unsupervised segmentation algorithms. …”
Get full text
Thesis -
19
Finding objects with segmentation strategy based multi robot exploration in unknown environment
Published 2013“…Also the algorithm using segmentation strategy is using frontier base algorithm for exploring divided area. …”
Get full text
Get full text
Get full text
Article -
20
Effects of Different Superpixel Algorithms on Interactive Segmentations
Published 2022“…The superpixels generated by these five algorithms will be used on two interactive image segmentation algorithms: i) Maximal Similarity based Region Merging (MSRM) and ii) Graph-Based Manifold Ranking (GBMR) with single and multiple strokes on various images from the Berkeley image dataset. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Article
