Search Results - (( its implementation using algorithm ) OR ( data classification methods algorithm ))
Search alternatives:
- classification methods »
- implementation using »
- data classification »
- its implementation »
- methods algorithm »
- using algorithm »
-
1
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 -
2
An efficient algorithm for cardiac arrhythmia classification using ensemble of depthwise Separable convolutional neural networks
Published 2020“…Using only these 22% labeled training data, our proposed algorithm was able to classify the remaining 78% of the database into 16 classes. …”
Get full text
Get full text
Get full text
Get full text
Article -
3
Training functional link neural network with ant lion optimizer
Published 2020“…This paper proposed the implementation of Ant Lion Algorithm as learning algorithm to train the FLNN for classification tasks. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
4
Classification of basal stem rot disease in oil palm using dielectric spectroscopy
Published 2018“…Without implementing any data reduction algorithm, the highest classification accuracy was found in SVM classifier with 79.55%. …”
Get full text
Get full text
Thesis -
5
Support directional shifting vector: A direction based machine learning classifier
Published 2021“…The positional error of the linear function has been modelled as a loss function which is iteratively optimized using the gradient descent algorithm. In order to justify the acceptability of this method, we have implemented this model on three different standard datasets. …”
Get full text
Get full text
Get full text
Article -
6
An Improve k-NN Classifier using Similarity Distance Plot-Data Reduction and Dask for Big Datasets
Published 2025“…The k-Nearest Neighbour (k-NN) algorithm is one of the most widely used Instance-Based Learning methods due to its simplicity and ease of implementation. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Thesis -
7
Hybrid performance measures and mixed evaluation method for data classification problems
Published 2012“…This study investigates two different issues of performance measure in data classification problem. First, this study examines the use of accuracy measure as a discriminator for building an optimized Prototype Selection (PS) algorithm. …”
Get full text
Get full text
Thesis -
8
Classification of Google Play application using decision tree algorithm on sentiment analysis of text reviews / Aqil Khairy Hamsani, Ummu Fatihah Mohd Bahrin and Wan Dorishah Wan A...
Published 2023“…To achieve these objectives, the methods employed involve data preprocessing and implementing the Decision Tree (DT) algorithm for classification. …”
Get full text
Get full text
Get full text
Article -
9
Improvement of land cover mapping using Sentinel 2 and Landsat 8 imageries via non-parametric classification
Published 2020“…Nevertheless, AC is not required for LCM if the original multi-spectral image is used. The last phase involves developing a new fusion algorithm using SVM and Fuzzy K-Means Clustering (FKM) algorithms for Sentinel 2 data to enhance LCM accuracy. …”
Get full text
Get full text
Thesis -
10
Optimizing in-car-abandoned children’s sounds detection using deep learning algorithms / Nur Atiqah Izzati Md Fisol
Published 2023“…To address this problem, an optimized in-car-abandoned children's sounds detection model using deep learning algorithms is proposed. The objective of this study is to develop an accurate and efficient model capable of recognizing the presence of children in cars based on sound data. …”
Get full text
Get full text
Student Project -
11
Lung Nodules Classification Using Convolutional Neural Network with Transfer Learning
Published 2023“…The objectives of this study are to pre-process lung nodules data, develop a CNN with transfer learning algorithm, and analyse the effectiveness of CNN with transfer learning compared to standard of other methods. …”
Get full text
Get full text
Get full text
Get full text
Proceeding -
12
Poverty risk prediction based on socioeconomic factors using machine learning approach
Published 2025“…Although the research is limited with respect to its sample size and geographical scope, it has provided important findings that can be used when implementing data-driven methods in social policy formulation and poverty mitigation strategies.…”
Get full text
Get full text
Student Project -
13
Discovering decision algorithm from a distance relay event report
Published 2009“…In this study rough-set-based data mining strategy was formulated to discover distance relay decision algorithm from its resident event report. …”
Get full text
Get full text
Get full text
Article -
14
Development of vehicle counting system by using background subtraction technique / Muhammad Fadhli Md Azemin
Published 2018“…With a view to improvement, it is proposed to develop a unique algorithm for vehicle classification and counting using Gaussian Mixture Model (GMM) and blob analysis method. …”
Get full text
Get full text
Student Project -
15
Feature fusion using a modified genetic algorithm for face and signature recognition system
Published 2015“…Several approaches and benchmark data were used to validate the effectiveness of the proposed method compared to the unimodal system and normal feature selection method. …”
Get full text
Get full text
Thesis -
16
-
17
Kernel methods and support vector machines for handwriting recognition
Published 2023“…Algorithms for practical implementation such as sequential minimization optimization (SMO) and its improvements are discussed. …”
Conference paper -
18
Driver behaviour classification: a research using OBD-II data and machine learning
Published 2024“…Hence, using On-board Diagnostic-II (OBD-II) data by categorising drivers based on their driving behaviour can be an efficient method. …”
Get full text
Get full text
Get full text
Get full text
Article -
19
Vehicle Classification Using Neural Network in Forward Scattering Radar
Published 2009“…Recent works had shown that FSR can be effectively used for classification, but the result can be further improved by using advance classification method. …”
Get full text
Get full text
Thesis -
20
