Search Results - (( data identification using algorithm ) OR ( automatic classification using algorithm ))
Search alternatives:
- automatic classification »
- identification using »
- classification using »
- data identification »
- using algorithm »
-
1
Automatic identification of epileptic seizures from EEG signals using sparse representation-based classification
Published 2020“…This study is based on sparse representation-based classification (SRC) theory and the proposed dictionary learning using electroencephalogram (EEG) signals. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Article -
2
Performance comparison of classification algorithms for EEG-based remote epileptic seizure detection in wireless sensor networks
Published 2014“…Identification of epileptic seizure remotely by analyzing the electroencephalography (EEG) signal is very important for scalable sensor-based health systems.Classification is the most important technique for wide-ranging applications to categorize the items according to its features with respect to predefined set of classes.In this paper, we conduct a performance evaluation based on the noiseless and noisy EEG-based epileptic seizure data using various classification algorithms including BayesNet, DecisionTable, IBK, J48/C4.5, and VFI.The reconstructed and noisy EEG data are decomposed with discrete cosine transform into several sub-bands.In addition, some of statistical features are extracted from the wavelet coefficients to represent the whole EEG data inputs into the classifiers.Benchmark on widely used dataset is utilized for automatic epileptic seizure detection including both normal and epileptic EEG datasets.The classification accuracy results confirm that the selected classifiers have greater potentiality to identify the noisy epileptic disorders.…”
Get full text
Get full text
Get full text
Conference or Workshop Item -
3
Study Of Modified Training Algorithm For Optimized Convergence Speed Of Neural Network
Published 2016“…First proposed algorithm is the combination of momentum algorithm with adaptive learning rate (ALR) algorithm, and second proposed algorithm is the combination of momentum algorithm with automatic learning rate selection (ALRS) algorithm. …”
Get full text
Get full text
Thesis -
4
-
5
Fingerprint feature extraction based discrete cosine transformation (DCT)
Published 2009“…The extracted nCT data is used as input for the backpropagation neural network training for personal identification.…”
Get full text
Get full text
Get full text
Get full text
Proceedings -
6
Object-based imagery analysis for automatic urban tree species detection using high resolution satellite image
Published 2016“…In this research, most of satisfactory results achieved from the generic model and proves it can be easily performed to different WorldView-2 images from different areas and provided the high accuracy through algorithms for tree species detection namely, Mesua Ferrea, Samanea Saman, and Casuarina Sumatrana without using any training data. …”
Get full text
Get full text
Thesis -
7
Comparison of meta-heuristic algorithms for fuzzy modelling of covid-19 illness’ severity classification
Published 2022“…The performance of the five meta-heuristic algorithms was evaluated using the COVID-19 symptoms dataset. …”
Get full text
Get full text
Get full text
Article -
8
-
9
Automatic detection and indication of pallet-level tagging from rfid readings using machine learning algorithms
Published 2020“…Identifying specific locations of items such as containers, warehouse pellets, and returnable packages in a large environment, for instance, in a warehouse, requires an extensive tracking system that could identify the location through data visualization. This is the similar case for radio-frequency identification (RFID) pallet level signal as the accuracy of determining the position for specific location either on the level or stacked in the same direction are read uniformly. …”
Get full text
Get full text
Thesis -
10
Fuzzy-based classifier design for determining the eye movement data as an input reference in wheelchair motion control
Published 2015“…Since membership functions (MFs) are generated automatically, the proposed fuzzy learning algorithm can be viewed as a knowledge acquisition tool for classification problems. …”
Get full text
Get full text
Get full text
Article -
11
A Genetic-CBR Approach for Cross-Document Relationship Identification
Published 2012“…In this work, we aim to automatically identify some of the CST relations using supervised learning method. …”
Get full text
Get full text
Get full text
Book Chapter -
12
Classification Modeling for Malaysian Blooming Flower Images Using Neural Networks
Published 2013“…The appearance of the image itself such as variation of lights due to different lighting condition, shadow effect on the object’s surface, size, shape, rotation and position, background clutter, states of blooming or budding may affect the utilized classification techniques. This study aims to develop a classification model for Malaysian blooming flowers using neural network with the back propagation algorithms. …”
Get full text
Get full text
Get full text
Thesis -
13
Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions
Published 2019“…These sensors are pre-processed and different feature sets such as time domain, frequency domain, wavelet transform are extracted and transform using machine learning algorithm for human activity classification and monitoring. …”
Get full text
Get full text
Article -
14
Reassembly and clustering bifragmented intertwined jpeg images using genetic algorithm and extreme learning machine
Published 2019“…The RX_myKarve is an extended framework from X_myKarve, which consists of the following key components: (i) an Extreme Learning Machine (ELM) neural network for clusters classification using three existing content-based features extraction (Entropy, Byte Frequency Distribution (BFD) and Rate of Change (RoC)) to improve the identification of JPEG images content and support the reassembling process; (ii) a genetic algorithm with Coherence Euclidean Distance (CED) matric and cost function to reconstruct a JPEG image from a set of deformed and fragmented clusters in the scan area. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
15
Automatic classification of medical x-ray images
Published 2013“…These features have been exploited in different algorithms for automatic classification of medical X-ray images. …”
Get full text
Get full text
Article -
16
Breast cancer disease classification using fuzzy-ID3 algorithm with FUZZYDBD method: automatic fuzzy database definition
Published 2021“…FUZZYDBD method, an automatic fuzzy database definition method, would be used to design the fuzzy database for fuzzification of data in the FID3 algorithm. …”
Get full text
Get full text
Get full text
Get full text
Article -
17
The use of SOM for fingerprint classification
Published 2023“…The use of efficient classification methods is necessary for automatic fingerprint recognition systems. …”
Conference paper -
18
-
19
Automatic topic-based web page classification using deep learning
Published 2023“…The review process looked at the dataset, features, algorithm, pre-processing used in classification of web pages, document representation technique and performance of the web page classification model. …”
Get full text
Get full text
Get full text
Article -
20
Automatic Topic-Based Web Page Classification Using Deep Learning
Published 2023“…The review process looked at the dataset, features, algorithm, pre-processing used in classification of web pages, document representation technique and performance of the web page classification model. …”
Get full text
Get full text
Get full text
Article