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The implications for ahybrid detection technique against malicious sqlattacks on web applications
Published 2025“…The outcome of this study will add to the body of knowledge the most important and recent proposed solutions to mitigate SQL injection attack, in particular those based on machine learning algorithm…”
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Smart object detection using deep learning algorithm and jetson nano for blind people
Published 2021“…Therefore, this project develops a smart object detection using deep learning algorithm and jetson nano to improve object detection for blind people. …”
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Polymorphic malware detection based on dynamic analysis and supervised machine learning / Nur Syuhada Selamat
Published 2021“…This scenario caused a rising number of malware. It also caused many protections are developed to fight the malware. …”
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Development of machine learning-based algorithm to determine the condition in transformer oil
Published 2021“…Machine Learning (ML) algorithm have been utilized to detect the fault more accurate. …”
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Performance comparison of CNN and LSTM algorithms for arrhythmia classification
Published 2020“…Analyzing the performance of these algorithms will further assist in the development of an enhanced deep learning model that offers improved performance. …”
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Development of a syncope classification algorithm from physiological signals acquired in tilt-table test
Published 2023“…Syncope also known as transient loss of consciousness which caused problem to human daily life. Since machine learning is much more advanced, classification of syncope can be done with machine learning. …”
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Final Year Project / Dissertation / Thesis -
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Early detection of dengue disease using extreme learning machine
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PREDICTING THE PRICE OF COTTON USING RNN AND LSTM
Published 2020“…The accuracy of each machine learning algorithm will be recorded and analyze to come up with the best model for the dataset. …”
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Final Year Project -
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Mobile app of mood prediction based on menstrual cycle using machine learning algorithm / Nur Hazirah Amir
Published 2019“…It implemented Supervised Learning algorithm with Bayes’ Theorem model for the calculation of mood prediction using Python programming language. …”
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Optimize and deploy machine learning algorithms on embedded devices for manufacturing applications
Published 2025“…In recent studies, we seen developers and researchers proposing solutions on deep learning algorithms like YOLO, EfficientNet, CNN, MobileNet etc. …”
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Final Year Project / Dissertation / Thesis -
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Unified neural network controller of series active power filter for power quality problems mitigation
Published 2013“…First, Widrow-Hoff algorithm is examined and its constant learning rate is modified by adding an adaptive learning rule to change the learning rate value. …”
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Hybrid of convolutional neural network algorithm and autoregressive integrated moving average model for skin cancer classification among Malaysian
Published 2021“…However, these machine learning methods cannot get the deep features from network flow which resulting in low accuracy and the pretrained DNN has the complex network with a huge number of parameters causes the limited classification accuracy. …”
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Recognising Malaysia traffic sign with rain drop disturbance using deep learning
Published 2022“…Hence, we develop a road sign recognition system based on a deep learning algorithm that can identify the Malaysia traffic sign with raindrop disturbance. …”
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Final Year Project / Dissertation / Thesis -
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Toxic Gas Dispersion Model Based On Neural Pattern Recognition Networks
Published 2022“…Prairie Grass experiment database is used as a data to develop toxic gas dispersion prediction model based on deep learning networks. …”
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Breast cancer prediction using machine learning
Published 2022“…We will compare the efficiency of the machine learning algorithms based on classification metrics and deduce the best one for this research.…”
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Improved TLBO-JAYA Algorithm for Subset Feature Selection and Parameter Optimisation in Intrusion Detection System
Published 2020“…The proposed method combined the improved teaching-learning-based optimisation (ITLBO) algorithm, improved parallel JAYA (IPJAYA) algorithm, and support vector machine. …”
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Small Dataset Learning In Prediction Model Using Box-Whisker Data Transformation
Published 2020“…Otherwise, learning from small sample sizes might cause prediction task produced an imprecise model. …”
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