Search Results - (( process classification based algorithm ) OR ( pattern classification parallel algorithm ))
Search alternatives:
- classification parallel »
- process classification »
- pattern classification »
- classification based »
-
1
EMG motion pattern classification through design and optimization of neural network
Published 2012“…Different types of ANN models are basically structured with many interconnected network elements which can develop pattern classification strategies based on a set of input/training data. …”
Get full text
Get full text
Get full text
Proceeding Paper -
2
-
3
EMG motion pattern classification through design and optimization of Neural Network
Published 2012Get full text
Working Paper -
4
Robust tweets classification using arithmetic optimization with deep learning for sustainable urban living
Published 2024“…In this view, this research develops an arithmetic optimization algorithm with deep learning based tweets classification (AOADL-TC) approach for sustainable living. …”
Get full text
Get full text
Get full text
Get full text
Article -
5
Fpga-Based Accelerator For The Identification Of Finger Vein Pattern Via K-Nearest Centroid Neighbors
Published 2016“…The challenge of finger vein recognition in becoming mainstream biometric technology is the processing time of recognition. As almost all finger vein recognition algorithms were implemented using software such as MATLAB which is based on general-purpose processor, the processing speed become the bottleneck of the development of finger vein recognition. …”
Get full text
Get full text
Thesis -
6
Electromygraphy (EMG) signal based hand gesture recognition using Artificial Neural Network (ANN)
Published 2011“…ANNs are particularly useful for complex pattern recognition and classification tasks. The capability of learning from examples, the ability to reproduce arbitrary non-linear functions of input, and the highly parallel and regular structure of ANNs make them especially suitable for pattern recognition tasks. …”
Get full text
Get full text
Get full text
Proceeding Paper -
7
Probabilistic ensemble fuzzy ARTMAP optimization using hierarchical parallel genetic algorithms
Published 2015“…To further augment the ARTMAP's pattern classification ability, multiple ARTMAPs were optimized via genetic algorithm and assembled into a classifier ensemble. …”
Get full text
Get full text
Get full text
Article -
8
Knowledge base processing method based on text classification algorithm
Published 2023“…The text classification algorithm's knowledge base processing method utilizes existing data from the knowledge base to guide the construction and training of the classification model. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
9
Enhancing Classification Algorithms with Metaheuristic Technique
Published 2024“…Implementing this process uses classification algorithms such asNaïve Bayes, Support Vector Machine,and Random Forest. …”
Get full text
Get full text
Get full text
Article -
10
Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms
Published 2005“…In cluster labelling process, a cluster labelling algorithm based on calculation of minimum-distance (MD) between cluster mean and class mean was developed to label the clusters. …”
Get full text
Get full text
Thesis -
11
Enhancement of bearing defect diagnosis via genetic algorithm optimized feature selection
Published 2015“…Subsequently, the integration of embedded correlation-based filtering algorithm has further increased the classification accuracy of training process and testing process by 4.93% and 14.73% respectively. …”
Get full text
Get full text
Get full text
Thesis -
12
An enhancement of classification technique based on rough set theory for intrusion detection system application
Published 2019“…Henceforth, to achieve the aim, current research work proposed an enhancement of discretization algorithm based on Binning Discretization in RST to improve classification performance and to enhance the strategy of generation rules in RST to improve classification performance. …”
Get full text
Get full text
Thesis -
13
-
14
DATA CLASSIFICATION SYSTEM WITH FUZZY NEURAL BASED APPROACH
Published 2005“…The project's objective is identifying the available data mining algorithms in data classification and applying new data mining algorithm to perform classification tasks. …”
Get full text
Get full text
Final Year Project -
15
Automatic Segmentation and Classification of Skin Lesions in Dermoscopic Images
Published 2024“…This process consists of four steps: pre-processing, segmentation, feature extraction, and classification. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
16
Leaf lesion classification (LLC) algorithm based on artificial bee colony (ABC)
Published 2015“…Results showed that the Leaf Lesion Classification (LLC) algorithm based on Artificial Bee colony (ABC) produced an average 96.83% of accuracy and average 1.66 milliseconds of processing time, indicating that LLC algorithm is better than algorithm such as Otsu, Canny, Roberts and Sobel. …”
Get full text
Get full text
Get full text
Article -
17
Multi-Class Multi-Level Classification of Mental Health Disorders Based on Textual Data from Social Media
Published 2024“…The results of the experiments show that the MCML classification algorithm successfully performs detailed classification and produces promising results for each classification level. …”
Get full text
Get full text
Get full text
Get full text
Article -
18
Overview of metaheuristic: classification of population and trajectory
Published 2010“…The algorithm techniques can be characterized based on the criteria of the operation of the search process. …”
Get full text
Get full text
Monograph -
19
Modified word representation vector based scalar weight for contextual text classification
Published 2024“…This thesis investigates contextual text classification, which is the process of categorising textual data into different classes or categories based on its meaning within a given context. …”
Get full text
Get full text
Thesis -
20
Taylor-Bird Swarm Optimization-Based Deep Belief Network For Medical Data Classification
Published 2022“…The major contribution of this research is to introduce a Taylor-Bird Swarm optimization-based Deep Belief Network (Taylor-BSA-based DBN) for medical data classification. …”
Get full text
Get full text
Thesis
