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Real time monitoring and controlling using Petri net algorithm for batch process plant / Mohamad Shaiful Osman
Published 2010“…This research is made for a system with fully integrated facilities for analyzing , monitoring and controlling of batch plant based on graph theory, batch modelling by means of Petri net algorithm and theory, control and configuration of SCADA system. …”
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Implementing artificial neural networks and genetic algorithms to solve modeling and optimisation of biogas production
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Implementing artificial neural networks and genetic algorithms to solve modeling and optimisation of biogas production
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Implementing artificial neural networks and genetic algorithms to solve modeling and optimisation of blogas production
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Hand blood vessels pattern recognition
Published 2023“…This study aimed to address the problem of difficult venous access by proposing a vein feature extraction algorithm for the forearm using transfer learning on a U-net model with EfficientNetB3 as the backbone. …”
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Mobile machine vision for railway surveillance system using deep learning algorithm
Published 2021“…In this paper, object detection model is developed and implemented with deep learning algorithm. …”
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Proceedings -
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The Determination of Pile Capacity Using Artificial Neural-net: An Optimization Approach
Published 2001“…In this study, the developed algorithm is further expanded to include computation of the weight-matrix of a sequential associative feedback-type neural net model for the determination of service load of a single pile is introduced. …”
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Article -
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The classification of wink-based eeg signals by means of transfer learning models
Published 2021“…In addition, amongst the eighteen TL models evaluated based on the CWT transformation, fourteen was f ound to be able to extract the features reasonable, i.e., VGG16, VGG19, ResNet101, ResNet101 V2, ResNet152, ResNet152 V2, Inception V3, Inception ResNet V2, Xception, MobileNetV2, DenseNet 121, DenseNet 169, NasNetMobile and NasNetLarge. …”
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10
Thalassaemia detection using CBR Algorithm via mobile device
Published 2011“…The results show that the Case-Based Reasoning model has a great potential to be implemented in diagnosing Thalassaemia cases.…”
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Undergraduates Project Papers -
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Thalassaemia detection using CBR Algorithm via mobile device
Published 2011“…The results show that the Case-Based Reasoning model has a great potential to be implemented in diagnosing Thalassaemia cases.…”
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Undergraduates Project Papers -
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Automated visual defect detection using deep learning
Published 2022“…The main goal of this project is to study and develop various automated defect detection models by utilizing state-of-the-art deep learning segmentation algorithms, including U-Net, Double U-Net, SETR, TransU-Net, TransDAU-Net, CAM and SEAM to perform semantic segmentation in fully supervised and weakly supervised learning manners. …”
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Final Year Project / Dissertation / Thesis -
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Implementing BiSM and CCL algorithm for managing audio storage
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Conference or Workshop Item -
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Deep learning-based water segmentation for autonomous surface vessel
Published 2020“…In purpose of benchmarking models, Fully Convolutional Network (FCN), SegNet and U-Net are trained on a publicly available dataset, IntCatch Vision Data Set (ICVDS), to evaluate the performance. …”
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Proceeding Paper -
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Deep learning-based breast cancer detection and classification using histopathology images / Ghulam Murtaza
Published 2021“…For BrC detection, an efficient and reliable model namely Ensemble BrC Detection Network (EBrC-Net) and three misclassification reduction (McR) algorithms are developed. …”
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Car dealership web application
Published 2022“…Tree SHAP, which was implemented by third-party SHAP Python library, were used in model monitoring and made the models interpretable. …”
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Final Year Project / Dissertation / Thesis -
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Automatic Segmentation and Classification of Skin Lesions in Dermoscopic Images
Published 2024“…In the third classification algorithm, hybrid features are extracted using AlexNet and VGG-16 through a transfer learning approach where parameter manipulation is implemented to simplify the network. …”
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Thesis -
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