Search Results - (( brain computing clustering algorithm ) OR ( java implication based algorithm ))
Search alternatives:
- computing clustering »
- implication based »
- java implication »
- brain computing »
-
1
The visualization of three dimensional brain tumors' growth on distributed parallel computer systems
Published 2009“…The main objective of this study is to visualize the brain tumors’ growth in three-dimensional and implement the algorithm on distributed parallel computer systems. …”
Get full text
Get full text
Article -
2
Clustering natural language morphemes from EEG signals using the Artificial Bee Colony algorithm
Published 2015“…This study aims at analyzing EEG signals for the purpose of clustering natural language morphemes using the Artificial Bee Colony (ABC) algorithm. …”
Get full text
Get full text
Proceeding Paper -
3
Clustering natural language morphemes from EEG signals using the Artificial Bee Colony algorithm
Published 2015“…This study aims at analyzing EEG signals for the purpose of clustering natural language morphemes using the Artificial Bee Colony (ABC) algorithm. …”
Get full text
Get full text
Get full text
Book Chapter -
4
A new hybrid technique for nosologic segmentation of primary brain tumors / Shafaf Ibrahim
Published 2015“…Thus, the involvement of information technology is highly demanded in introducing reliable, simple and accurate computer systems. This study presents an algorithm for nosologic segmentation of primary brain tumors on Magnetic Resonance Imaging (MRI) brain images. …”
Get full text
Get full text
Book Section -
5
A new hybrid technique for nosologic segmentation of primary brain tumors / Shafaf Ibrahim
Published 2015“…Thus, the involvement of information technology is highly demanded in introducing reliable, simple and accurate computer systems. This study presents an algorithm for nosologic segmentation of primary brain tumors on Magnetic Resonance Imaging (MRI) brain images. …”
Get full text
Get full text
Thesis -
6
Algorithm Development of Bidirectional Agglomerative Hierarchical Clustering Using AVL Tree with Visualization
Published 2024thesis::doctoral thesis -
7
Improved Fast Fuzzy C-Means Algorithm for Medical MR Images Segmentation
Published 2008Get full text
Get full text
Article -
8
Development of Acute Stroke Lesion Segmentation Algorithm in Brain MRI using Pseudo-colour with K-means Clustering
Published 2021“…This study aims to develop an automatic segmentation by utilizing clustering algorithm for acute ischemic stroke lesion identification. …”
Get full text
Get full text
Get full text
Thesis -
9
A Novel Pixel Counting Technique to Assess the Volumetric Changes in Human Brain Morphology
Published 2015“…The clustering technique pursued includes the traditional K-means and fuzzy Cmeans algorithm by considering the Euclidean distance metric toward grouping of entities of similar pattern vectors. …”
Get full text
Get full text
Get full text
Article -
10
-
11
Prediction of Alzheimer disease using improved MMSE ensemble regressor based on magnetic resonance images
Published 2015“…Nowadays, it is obvious that onset of the disease can be even decades before manifestation of the symptoms and it can be revealed by investigating the brain structures. Early prognosing of Alzheimer’s disease by analyzing brain MR images and inspecting effect of it on brain structures is a hard task. …”
Get full text
Get full text
Thesis -
12
-
13
Computational analysis of biological data: Where are we?
Published 2024“…Computer modeling allows such electrical stimulations using statistics, bioinformatics and advanced machine-learning algorithms. …”
Get full text
Get full text
Get full text
Get full text
Book Chapter -
14
-
15
-
16
Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
17
Classification of labour pain using electroencephalogram signal based on wavelet method / Sai Chong Yeh
Published 2020“…Supervised and unsupervised machine learning algorithms particularly the Support Vector Machine (SVM) and Density Based Spatial Clustering of Application with Noise (DBSCAN) are used in this study. …”
Get full text
Get full text
Get full text
Thesis
