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Predicting breast cancer using ant colony optimisation / Siti Sarah Aqilah Che Ani
Published 2021“…This study implements a machine learning algorithm called Ant Colony Optimization (ACO) algorithm to develop an accurate classification model for predicting breast cancer cells. …”
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Student Project -
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Nonlinear modeling and control of a spark ignition engine idle speed / Hazem Mohamed
Published 1998“…The train~ng data of the network is the entries of an optimal control table derived by analyzing the evolution of the state trajectories of the system under different initial conditions using the cell to cell mapping technique. …”
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Thesis -
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Klasifikasi Sel-Sel Kanser Payudara Menggunakan Rangkaian Neural Peta-Peta Penubuhan-Diri (Som)
Published 2006“…Five inputs and an output were used to detect whether the cells are cancerous or not. A set of training data was used to train the network. …”
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Monograph -
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Application Of Neural Network In Malaria Parasites Classification
Published 2006“…Multilayer Perceptron (MLP) network and Radial Basis Function (RBF) network will be developed using MATLAB in which MLP network is trained with Back Propagation, Bayesian Rule and Levenberg-Marquardt learning algorithm and RBF network is trained with k-means clustering algorithm. …”
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Monograph -
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Utilisation of Exponential-Based Resource Allocation and Competition in Artificial Immune Recognition System
Published 2011“…This linearity increases the processing time of generating memory cells from antigens and causes an increase in the training time of the Artificial Immune Recognition System. …”
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Thesis -
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System integration of single seated fuel cell powered vehicle / Buqhari Jaafar
Published 2010“…Scope of this project is to develop the control algorithm for the vehicle system under different driving condition such as acceleration, braking, and steady states condition. …”
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Thesis -
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Enhanced Image Classification for Defect Detection on Solar Photovoltaic Modules
Published 2023“…The second algorithm uses K Nearest Neighbour using a ratio of training data and testing data of 95:05 resulting in an accuracy value of 62%. …”
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Thesis -
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Hybrid of convolutional neural network algorithm and autoregressive integrated moving average model for skin cancer classification among Malaysian
Published 2021“…This paper focuses on the classification of skin cancer to identify whether it is basal cell carcinoma, melanoma or squamous cell carcinoma by using the development of hybrid convolutional neural network algorithm and autoregressive integrated moving average model (CNN-ARIMA). …”
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Article -
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PREDICTING THE PRICE OF COTTON USING RNN AND LSTM
Published 2020“…The data will then be processed to eliminate the unused columns and to fill in any void cells. The data will then be separated into training set and testing set and will be feed to the machine learning algorithm to find the pattern and try to do prediction. …”
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Final Year Project -
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Development of hippocampus MRI image segmentation algorithm for progression detection of alzheimer’s disease (AD)
Published 2022“…This study indicates developing an algorithm for detecting and progressing through the hippocampus of patients with Alzheimer's disease in MRI images. …”
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Thesis -
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Prediction of device performance in SnO2 based inverted organic solar cells using machine learning framework
Published 2024“…The development of wearable electronic gadgets has spanned the research attention toward the design of flexible and high-performance organic solar cells. …”
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Article -
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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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Bacterial image analysis using multi-task deep learning approaches for clinical microscopy
Published 2024“…The multi-task DL framework is developed to classify the bacteria according to their respective growth stages, which include rod-shaped cells, dividing cells, and microcolonies. …”
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Article -
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System setup on jetson nano for smart crowd covid monitoring system
Published 2022“…Each grid cell is in charge of detecting objects within itself. …”
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Undergraduates Project Papers -
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Development of capability-based virtual cellular manufacturing systems in dual-resource constrained settings over semi-distributed layouts
Published 2012“…The performance of the developed CBVCMSs is improved by utilizing a novel layout namely Semi-Distributed Layouts (SDLs) using Genetic Algorithms (GAs). …”
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Thesis -
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Brain tumor image segmentation using deep learning approach
Published 2022“…Deep learning algorithm is able to provide good tumor segmentation results compared to other conventional segmentation algorithms as it learns from the labeled brain MRIs to predict the location of tumor region and consequently segment the tumor. …”
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Final Year Project / Dissertation / Thesis -
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Development of brain tumor segmentation of magnetic resonance imaging (MRI) using u-net deep learning
Published 2023“…The algorithm consists of three parts; the first part, the downsampling part, the bottleneck part, and the optimum part. …”
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