150 citations · 227 across the 6 of their papers we have counts for
6 papers
A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU
Farhad Mortezapour Shiri, Thinagaran Perumal, Norwati Mustapha +1
Deep learning (DL) has emerged as a powerful subset of machine learning (ML) and artificial intelligence (AI), outperforming traditional ML methods, especially in handling unstruct…
A Survey on Multi-Resident Activity Recognition in Smart Environments
Farhad MortezaPour Shiri, Thinagaran Perumal, Norwati Mustapha +3
Human activity recognition (HAR) is a rapidly growing field that utilizes smart devices, sensors, and algorithms to automatically classify and identify the actions of individuals w…
Data Stream Clustering: Challenges and Issues
Madjid Khalilian, Norwati Mustapha
Very large databases are required to store massive amounts of data that are continuously inserted and queried. Analyzing huge data sets and extracting valuable pattern in many appl…
Efficient Candidacy Reduction For Frequent Pattern Mining
Mohammad Nadimi Shahraki, Norwati Mustapha, Md Nasir B Sulaiman +1
Certainly, nowadays knowledge discovery or extracting knowledge from large amount of data is a desirable task in competitive businesses. Data mining is a main step in knowledge dis…
A Framework For Intelligent Multi Agent System Based Neural Network Classification Model
Roya Asadi, Norwati Mustapha, Nasir Sulaiman
TIntelligent multi agent systems have great potentials to use in different purposes and research areas. One of the important issues to apply intelligent multi agent systems in real…
Training Process Reduction Based On Potential Weights Linear Analysis To Accelarate Back Propagation Network
Roya Asadi, Norwati Mustapha, Nasir Sulaiman
Learning is the important property of Back Propagation Network (BPN) and finding the suitable weights and thresholds during training in order to improve training time as well as ac…