Search Results - (( developing co extraction algorithm ) OR ( java implication based algorithm ))
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Non-invasive gliomas grading using swarm intelligence algorithm / Muhammad Harith Ramli
Published 2017“…Bat algorithm is chosen for the development of the prototype for segmentation and classification purpose. …”
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Thesis -
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Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms
Published 2005“…This algorithm was compared to co-spectral plot method for labelling clusters the clusters generated in Landsat TM dataset. …”
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Thesis -
4
Developing stereo vision system for object recognition and positioning of AMAD-R mobile robot
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Working Paper -
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HEP-2 CELL IMAGES CLASSIFICATION BASED ON STATISTICAL TEXTURE ANALYSIS AND FUZZY LOGIC
Published 2014“…The textural features extracted are based on the first-order statistics and second-order statistics computed from grey level co-occurrence matrices (GLCM). …”
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Final Year Project -
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Combining deep and handcrafted image features for MRI brain scan classification
Published 2019“…In this paper, a deep learning feature extraction algorithm is proposed to extract the relevant features from MRI brain scans. …”
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Diabetic retinopathy detection using Gray-Level Co-Occurrence Matrix / Aliff Azfar Aris
Published 2022“…To achieve this, the Gray-Level Co-Occurrence Matrix (GLCM) is used to extract features from fundus images of patients. …”
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Thesis -
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HEp-2 cell images classification based on statistical texture analysis and fuzzy logic
Published 2014“…A working classification algorithm is developed and gives a mean accuracy of 84 out of 125 test images. …”
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Conference or Workshop Item -
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Overview of biomedical relations extraction using hybrid rule-based approaches.
Published 2013“…There are many variants of these algorithms have been developed but the combination of it has not been verified yet. …”
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Development and application of an enhanced ART-Based neural network
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Working Paper -
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Development of interactive application for classification of Artocarpus Species
Published 2020“…The combination of Prewitt algorithm, Canny alogorithm, Gray-Level co-occurrence matrix will be used in SVM. …”
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Undergraduate Final Project Report -
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Engine fault diagnosis using probabilistic neural network
Published 2021“…A benchmarked engine fault model is developed and simulated in Maltab. The proposed algorithm is designed to detect 9 common engine faults based on the information extracted from exhaust gas, such as hydrocarbon (HC), carbon monoxide (CO), oxides of nitrogen (NOx), carbon dioxide (CO2) and dioxygen (O2). …”
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Proceedings -
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Feature engineering techniques to classify cause of death from forensic autopsy reports / Ghulam Mujtaba
Published 2018“…Moreover, support vector machines and random forest algorithms outperformed the four other algorithms. The proposed techniques are feasible and practical in determining the CoD from forensic autopsy reports and can assist pathologists to accurately and rapidly determine the CoD from autopsy findings. …”
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Thesis -
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Image quality assessment using Elman neural network model
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Working Paper -
15
Color recognition algorithm using a neural network model in determining the ripeness of a Banana
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Working Paper -
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Moving vehicle identification using artificial neural network
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Working Paper -
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Yield prediction of supercritical fluid extraction of Nigella sativa using neutral networks / Sarah Diana Isnin and Sitinoor Adeib Idris
Published 2025“…A feed-forward multi-layer neural network with Levenberg-Marquardt training algorithm was developed to predict yield for supercritical carbon dioxide (SC-CO2) extraction of Nigella sativa essential oil. …”
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Article -
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