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CSC583 - Artificial Intelligence Algorithms / College of Computing, Informatics and Media
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CSC583: Artificial Intelligence Algorithms / College of Computing, Informatics and Mathematics
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Heuristic factors in ant system algorithm for course timetabling problem
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Development Of Human Skin Detection Algorithm Using Multilayer Perceptron Neural Network And Clustering Method
Published 2017“…The performance of the developed system has been compared with the existing intelligent skin detection systems. The experimental results reveal that the developed algorithm is able to achieve an accuracy of 87.82% F1-measure based on images from the ECU database. …”
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An Intelligent System Approach to the Dynamic Hybrid Robot Control
Published 1996“…To derive a complete intelligent state-of-the-art hybrid control system, several experiments were conducted in the study. …”
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Classification of EEG Spectrogram Using ANN for IQ Application
Published 2013“… The intelligence term can be view in many areas such as linguistic, mathematical, music and art. …”
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Determining optimum carob powder adsorbtion for cleaning wastewater: intelligent optimization with electro-search algorithm
Published 2020“…The maximum adsorption value was determined as around 256.44Â mg/g thanks to the Electro-Search Algorithm, a recent Artificial Intelligence based intelligent optimization technique. …”
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Evaluate the performance of university timetabling problem with various artificial intelligence techniques
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Supervised ANN classification for engineering machined textures based on enhanced features extraction and reduction scheme
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CSC779: Special Topic (Intelligent Systems) / College of Computing, Informatics and Media
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CSC779: Special Topic (Intelligent Systems) / College of Computing, Informatics and Mathematics
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Application Of Neural Network In Malaria Parasites Classification
Published 2006“…There are only a few researchers used artificial intelligence to classify malaria parasites. The purpose of this project is to classify malaria parasites into Plasmodium falciparum, Plasmodium vivax and Plasmodium malariae based on ratio of infected red blood cell’s (RBC) size to normal RBC’s size, shape of parasite, location of chromatin, number of chromatin, texture of infected RBC, and number of parasite per RBC using different types of neural network. …”
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Monograph -
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CSC728 - Machine Learning / College of Computing, Informatics and Media
Published 2022“…The ability to learn is a fundamental characteristic of intelligent behavior. This course aims to introduce Machine Learning to postgraduate students in Artificial Intelligence. …”
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CSC728: Machine Learning / College of Computing, Informatics and Mathematics
Published 2017“…The ability to learn is a fundamental characteristic of intelligent behavior. This course aims to introduce Machine Learning to postgraduate students in Artificial Intelligence. …”
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Detection of head position using chain code algorithm
Published 2007“…The main contribution of this thesis is it contributes an algorithm of head recognition and detecting which based on image segmentation, Prewitt edge detection and Chain Code algorithm. …”
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Thesis -
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Detection of head position using chain code algorithm
Published 2007“…The main contribution of this thesis is it contributes an algorithm of head recognition and detecting which based on image segmentation, Prewitt edge detection and Chain Code algorithm. …”
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Potential of Metal Artifact Reduction (MAR) and Deep Learning-based Reconstruction (DLR) algorithms integration in CT Metal Artifact Correction: a review
Published 2024“…Deep Learning-based Reconstruction (DLR) is an expanding approach using Artificial Intelligence (AI) for CT image reconstruction. …”
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