Search Results - (( feature extraction method algorithm ) OR ( using optimization system algorithm ))
Search alternatives:
- optimization system »
- extraction method »
- method algorithm »
- system algorithm »
- feature »
-
1
-
2
Plant leaf recognition algorithm using ant colony-based feature extraction technique
Published 2013“…To do this, at first, based on the proposed algorithm,the physiological dimensions of leaves are automatically measured and with regard to these parameters, specified features such as shape, morph, texture and colour are extracted from the image of the plant leaf through image processing to create a reserved feature database to be used for different species of plants. …”
Get full text
Get full text
Thesis -
3
An efficient indexing and retrieval of iris biometrics data using hybrid transform and firefly based K-means algorithm title
Published 2019“…The enhanced method combines three transformation methods for analyzing the iris image and extracting its local features. …”
Get full text
Get full text
Thesis -
4
Face recognition using PZMI, ANN and Ant colony algorithms / Milad Miri
Published 2018“…Algorithms developed for face recognition are tightly related to the rate of extracted face features. …”
Get full text
Get full text
Get full text
Thesis -
5
FEATURES EXTRACTION OF FINGERPRINTS BASED ON HYBRID PARTICLE SWARM OPTIMIZATION AND BAT ALGORITHMS
Published 2023“…In this paper, a new hybrid strategy Particle Swarm Optimization (PSO) with Bat Algorithm (BA) is proposed to extract features from fingerprint images. …”
Article -
6
Voting algorithms for large scale fault-tolerant systems
Published 2011“…In this research, we proposed optimal algorithms using Divide and Conquer, Brent’s theorem and parallel algorithms, appropriate for today’s large scale systems such as satellite processing systems, traffic control, weather forecasting which all face a large quantity of processing input data. …”
Get full text
Get full text
Thesis -
7
Towards enhanced remaining useful life prediction of lithium-ion batteries with uncertainty using optimized deep learning algorithm
Published 2025Subjects:Article -
8
Fingerprint verification using clonal selection algorithm / Farah Syadiyah Shamsudin
Published 2017“…There will be two processes involved, which are feature extraction using minutiae-based method and also the implementation of the proposed algorithm, CSA. …”
Get full text
Get full text
Thesis -
9
Sauvola Segmentation and Support Vector Machine-Salp Swarm Algorithm Approach for Identifying Nutrient Deficiencies in Citrus Reticulata Leaves
Published 2024“…Colour features are extracted in the Hue (H), Saturation (S), and Value (V) colour space, while texture features are obtained using the Grey-Level Co-Occurrence Matrix (GLCM) method. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
10
Short-Term Electricity Price Forecasting via Hybrid Backtracking Search Algorithm and ANFIS Approach
Published 2019“…In this paper, a hybrid electricity price forecasting method which is composed of two-stage feature selection method and optimized adaptive neuro-fuzzy inference system (ANFIS) technique as a forecasting engine is proposed to accurately forecast electricity price. …”
Get full text
Get full text
Article -
11
Efficient classifying and indexing for large iris database based on enhanced clustering method
Published 2018“…Three transformation methods DCT, DWT and SVD were used to analyse the iris image and to extract its local features. …”
Get full text
Get full text
Get full text
Article -
12
Automated plant classification system using a hybrid of shape and color features of the leaf
Published 2016“…Furthermore, optimizing the performance is also targeted in this research by integrating the proposed Quartile Features with the most discriminant shape and color features in the literature, in order to select the optimal feature vector for the proposed system. …”
Get full text
Get full text
Thesis -
13
Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli
Published 2018“…In the developed feature selection approach, multi-objective binary-valued backtracking search algorithm (MOBBSA) is used as an efficient evolutionary search algorithm to search within different combinations of input variables and selects the non-dominated feature subsets, which minimize simultaneously both the estimation error and the number of features. …”
Get full text
Get full text
Get full text
Thesis -
14
-
15
An efficient IDS using hybrid Magnetic swarm optimization in WANETs
Published 2018“…Our developed algorithm works in extracting the most relevant features that can assist in accurately detecting the network attacks. …”
Get full text
Get full text
Get full text
Get full text
Article -
16
-
17
Design Of Feature Selection Methods For Hand Movement Classification Based On Electromyography Signals
Published 2020“…Initially, Short Time Fourier Transform (STFT) and Discrete Wavelet Transform (DWT) are used for signal processing. Afterward, several time-frequency features are extracted to form the STFT feature set and DWT feature set. …”
Get full text
Get full text
Get full text
Thesis -
18
An Efficient IDS Using Hybrid Magnetic Swarm Optimization in WANETs
Published 2018“…Our developed algorithm works in extracting the most relevant features that can assist in accurately detecting the network attacks. …”
Get full text
Get full text
Article -
19
A COLLABORATIVE FRAMEWORK FOR ANDROID MALWARE IDENTIFICATION USING DYNAMIC ANALYSIS
Published 2019“…The scope of this project focuses on Android Malware detection by using dynamic analysis. The methods to implement this project is through data collection, feature extraction, feature selection, and classification process. …”
Get full text
Get full text
Get full text
Final Year Project Report / IMRAD -
20
Particle swarm optimization with deep learning for human action recognition
Published 2021“…Also, the current motion target detection algorithms extract features from the relevant object only if the moving object has complex texture features. …”
Get full text
Get full text
Article
