Search Results - (( features extraction methods algorithm ) OR ( probable optimization method algorithm ))
Search alternatives:
- probable optimization »
- features extraction »
- methods algorithm »
- method algorithm »
-
1
Sauvola Segmentation and Support Vector Machine-Salp Swarm Algorithm Approach for Identifying Nutrient Deficiencies in Citrus Reticulata Leaves
Published 2024“…The proposed method integrates colour and texture feature-based image analysis with machine learning algorithms for classification. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
2
Voting algorithms for large scale fault-tolerant systems
Published 2011“…To solve this problem and gain benefits of this algorithm, we employed parallel algorithm technique and by using optimal number of processors, we could propose optimal algorithms known as Parallel Average Voting and Parallel Weighted Average Voting which both have optimal time complexity and less calculation cost. …”
Get full text
Get full text
Thesis -
3
Adaptive Similarity Component Analysis in Nonparametric Dynamic Environment
Published 2011“…From a dimensionality reduction evaluation aspect, the average misclassification error of the proposed method in low-rank feature space is 9.6% and same error rate for three other well-known feature extraction methods is 21.21%. …”
Get full text
Get full text
Thesis -
4
Color Image Segmentation Based on Bayesian Theorem for Mobile Robot Navigation
Published 2009“…Experimental results show that the proposed algorithm works better than other two methods in terms of classifier accuracy with result of more than 99 percent successful segmentation of desired color in varying illumination. …”
Get full text
Get full text
Thesis -
5
Class binarization with self-adaptive algorithm to improve human activity recognition
Published 2018“…Somehow, it might occur some of extracted features are insignificant to describe the activity. …”
Get full text
Get full text
Thesis -
6
Development of a multi criteria decision support system using convolutional neural network and jaya algorithm for water resources management / Chong Kai Lun
Published 2021“…However, due to some drawbacks, an advanced technique was employed in this study. The proposed method involves using a convolutional neural network (CNN) with a feature extraction ability to learn from the hydrological dataset efficiently. …”
Get full text
Get full text
Get full text
Thesis -
7
Vehicle logo recognition using whitening transformation and deep learning
Published 2019“…Unlike most of the common traditional methods that employ handcrafted visual features, our proposed method is able to automatically learn and extract high-level features for the classification task. …”
Get full text
Get full text
Article -
8
A comparative analysis of anti-phishing website techniques: identifying optimal approaches to enhance cybersecurity
Published 2023“…The research consists of analysing the characteristics of phishing websites, extracting their essential features using the wrapper method, and classifying websites as phishing or legitimate using supervised and unsupervised learning algorithms. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
9
VLSI floor planning optimization using genetic algorithm and cross entropy method / Angeline Teoh Szu Fern
Published 2012“…These two models are based on topological placement method. DM is optimized using genetic algorithm (GA). …”
Get full text
Get full text
Thesis -
10
Evaluation and Comparative Analysis of Feature Extraction Methods on Image Data to increase the Accuracy of Classification Algorithms
Published 2024“…The feature extraction methods evaluated were Grayscale Pixel Values, Mean Pixel Value of Channels, and Extracting Edge Features. …”
Get full text
Get full text
Get full text
Get full text
Article -
11
Genetic algorithm based ensemble framework for sentiment analysis
Published 2018“…Prior to developing the whole multilayered ensemble framework, two separate experiments were performed to evaluate and study the different methods of feature extraction and selection. Methods of feature extraction can be separated into word based and phrase based. …”
Get full text
Get full text
Thesis -
12
Extracting feature from images by using K-Means clustering algorithm / Abdul Hakim Zainal Abidin
Published 2016“…This research purposed clustering algorithm to improve process extracting feature in images to get meaningful information because it can speed up the time to process of extracting meaningful information in images due to the efficient of the algorithm that has high performance to process the image. …”
Get full text
Get full text
Thesis -
13
Tree-based contrast subspace mining method
Published 2020“…Hence, this thesis presents the optimization of parameters values for the tree-based method by genetic algorithm. …”
Get full text
Get full text
Get full text
Thesis -
14
Cancellable face template algorithm based on speeded-up robust features and winner-takes-all
Published 2020“…This research presents a cancell able face image algorithm built upon the speeded-up robust features method to extract and select features. …”
Get full text
Get full text
Get full text
Article -
15
A proposed genetic algorithm to optimize service restoration in electrical networks with respect to the probability of transformers failure
Published 2010“…In many researches a Genetic Algorithm is employed as a powerful tool to solve this multi-objective, multi-constraint optimization problem. …”
Get full text
Get full text
Conference or Workshop Item -
16
-
17
Register Transfer Level Implementation Of Pooling - Based Feature Extraction For Finger Vein Identification
Published 2017“…Feature extraction techniques based on global feature extraction such as Principle Component Analysis (PCA) were implemented. …”
Get full text
Get full text
Thesis -
18
Realization Of The 1D Local Binary Pattern (LBP) Algorithm In Raspberry Pi For Iris Classification Using K-NN Classifier
Published 2018“…Due to the current methods in feature extraction are still improving, this project proposed a new feature extraction method to increase the performance of iris classification. …”
Get full text
Get full text
Monograph -
19
-
20
BRAIN ACTIVITIES FOR MOTOR MOVEMENT
Published 2012“…The Feature extraction method MVAAR couldn’t extract the actual feature for the four movements so we couldn’t classify between them.…”
Get full text
Get full text
Final Year Project