Search Results - (( data visualization _ algorithm ) OR ( parameter visualization learning algorithm ))
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Visual analysis to investigate the capability of ANFIS in modelling hydrological relationship using synthetic dataset
Published 2018“…In using most of the machine learning algorithms including ANFIS, to obtain the best model, the common and normal approach is always by comparing models of different parameter settings based on the goodness-offit statistical measures. …”
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Sentiment Analysis of Sexual Harassment in Malaysia on Twitter Using Machine Learning Algorithms
Published 2023“…Lastly, the data are visualized using graphs and charts and an overall visualization dashboard is generated for data reporting which helps to analyze and extract meaning behind the sentiments by relating the visualizations with real-life events from legitimate sources such as news and articles. …”
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Final Year Project Report / IMRAD -
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Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun
Published 2000“…This system is achieved using the Genetic Algorithm which is capable of performing information retrieval and learning algorithm. …”
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Thesis -
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Exploration of COVID‑19 data in Malaysia through mapper graph
Published 2024“…This research provides valuable insights for comprehending the pandemic timeline in Malaysia via the Mapper algorithm, which serves as a highly compact data visualization technique.…”
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Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process
Published 2004“…The design network is trained by presenting several target machining data that the network must learn according to a learning rule (algorithm). …”
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Thesis -
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Spectral analysis of discrete fourier transform (DFT) using Matlab
Published 2023“…In this project, signal is analyzed by applying Discrete Fourier Transform (DFT), specifically Fast Fourier Transform (FFT) algorithm in MATLAB. In the spectral analysis, the parameters are identified for signal analysis and the effect of varying the DFT parameters is studied. …”
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Vehicle Detection in Deep Learning
Published 2019“…The objective of this project is vehicle detection with deep learning, so, vehicles data set from highway, urban road and housing area had been collected and applied to the deep learning and computer vision algorithms. …”
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Final Year Project / Dissertation / Thesis -
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Dynamic user preference parameters selection and energy consumption optimization for smart homes using deep extreme learning machine and bat algorithm
Published 2020“…For the comfort index (thermal, visual, and air quality), we have used three parameters, i.e., Temperature (◦F), illumination (lx), and CO2 (ppm). …”
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Article -
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Classification of labour pain using electroencephalogram signal based on wavelet method / Sai Chong Yeh
Published 2020“…These methods present a robust system that enables fully automated identification and removal of artifacts from EEG signals, without the need of visual inspection or arbitrary thresholding. The training and parameters selection of the machine learning algorithms are conducted using EEG data collected from ten subjects in the laboratory. …”
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Thesis -
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Using the evolutionary mating algorithm for optimizing the user comfort and energy consumption in smart building
Published 2023“…The study considers three fundamental parameters for measuring user comfort: thermal comfort, visual comfort, and indoor air quality (IAQ). …”
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The formulation of a transfer learning pipeline for the classification of the wafer defects
Published 2023“…Automated processes have been used commonly in recent years, with the judgement done by using conventional image processing algorithm. However, limitations such as robustness and difficulty in setting up the parameters required for image processing algorithm encourages the investigation in using Deep learning classification in detecting the wafer defects. …”
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Applications of contemporary artificial intelligence technology in forensic odontology as primary forensic identifier : A scoping review
Published 2022“…Occasionally, transfer learning was used to overcome the limitation of data. …”
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Enhancing predictive crime mapping model using association rule mining for geographical and demographic structure
Published 2014“…Apriori is a popular algorithm in finding frequent set of items in data and association rule. …”
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Conference or Workshop Item -
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Classification of Distracted Male Driver Based on Driving Performance Indicator (DPI)
Published 2024“…Weka is a strong data mining and machine learning program including algorithms for data preparation, classification, regression, clustering, and visualization. …”
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Conference or Workshop Item -
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Knowledge Discovery Of Noise Level In Lecture Rooms
Published 2018“…The pattern analysis and visualization will be applied to the data to identify the correlation between physical lecture room and audio quantitative measures. …”
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Monograph -
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EEG-Based Person Authentication Modelling Using Incremental Fuzzy-Rough Nearest Neighbour Technique
Published 2016“…The IncFRNN algorithm is able to control the size of training pool using predefined window size threshold. …”
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Thesis -
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Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network
Published 2012“…The developed learning system has a 4-layered RNN and it was trained by BPTT method based on teaching signal that was generated by Q-Learning algorithm. …”
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Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network
Published 2012“…The developed learning system has a 4-layered RNN and it was trained by BPTT method based on teaching signal that was generated by Q-Learning algorithm. …”
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Undergraduates Project Papers
