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SLIDING WINDOW TRAINING ALGORITHMS USING MLP-NETWORK FOR CORRELATED AND LOST PACKET DATA
Published 2012“…This thesis gives a systematic investigation of various MLP learning mainly Sliding Window (SW) learning mode which is treated as the adaptation of offline algorithms into online application Consequently this thesis reviews various offline algorithms including: batch backpropagation, nonlinear conjugate gradient, limited memory and full-memory Broyden, Fletcher, Goldfarb and Shanno algorithms and different forms of the latest proposed bimary ensemble learning. …”
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Using streaming data algorithm for intrusion detection on the vehicular controller area network
Published 2022“…While the Isolation Forest (iForest) anomaly detection algorithm has a linear time complexity and low memory requirement, iForestASD adapts iForest by employing a sliding window that introduces the ability to handle concept drift, which is often characteristic of streaming data such as CAN bus traffic. …”
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Interactive learning package for artificial neural network (Demonstration Module) / Camellia Mohd Kamal
Published 2004“…Interactive Learning Package for Artificial Neural Network (Demonstration Module) is a learning package that allow the users to learn and enhance the understanding of the ANN subject in more detailed way and apply in the demonstration parts. …”
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Optimized processing of satellite signal via evolutionary search algorithm
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Framework for stream clustering of trajectories based on temporal micro clustering technique
Published 2018“…In the online phase, the stream clustering algorithm for trajectories based on the lifespan of the cluster is proposed (CC_TRS) to overcome the limitations of the time window technique. …”
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Noise reduction techniques in ECG signal
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Stock price prediction using machine learning: evidence from Pakistan stock exchange
Published 2024“…This study explores the application of machine learning techniques to predict the movement of stock prices in the market. …”
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Glass break detection system using deep auto encoders with fuzzy rules induction algorithm
Published 2019“…Main uses of glass windows in commercial and residential buildings are prevalent. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
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An efficient trust-based decision-making approach for WSNs: Machine learning oriented approach
Published 2023“…The proposed machine learning algorithm extracts various trust features such as Co-Location Relationship (CLR), Co-Work Relationship (CWR), Cooperativeness-Frequency-Duration (CFD), and Reward (R) to obtain a robust trust rating of sensor devices and predict future misbehavior. …”
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Hearing disorder detection using auditory evoked potential (AEP) signals
Published 2020“…The hearing disorder impairs human communication and learning. A traditional hearing test is constrained in its application and time-consuming since it requires the person to respond directly. …”
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Enhanced AI-based anomaly detection method in the intrusion detection system (IDS) / Kayvan Atefi
Published 2019“…Despite attempts to solve the data clustering issues, there are also many variants of modified algorithms in traditional information clustering that attempt to solve issues such as clustering algorithms based on condensation. …”
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