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A Comprehensive Analysis of Supervised Learning Techniques for Electricity Theft Detection

Journal of Electrical and Computer Engineering, 2021-07, Vol.2021, p.1-10

2021

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THE EVALUATION OF AN EMBEDDED SYSTEM KIT AS A C PROGRAMMING TEACHING TOOL

Journal of ICT, 2014-01, Vol.13, p.109

2014

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Factors Influencing the Teaching and Learning of Programming

Indian journal of science and technology, 2018-01, Vol.11 (4), p.1-6

2018

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Applying Bayesian Regularization for Acceleration of Levenberg-Marquardt based Neural Network Training

International journal of interactive multimedia and artificial intelligence, 2018-06, Vol.5 (1), p.68-72

2018

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CNN-BiLSTM Hybrid Model for Network Anomaly Detection in Internet of Things

International journal of advanced computer science & applications, 2023, Vol.14 (3)

2023

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Fast Detection and Classification of Dangerous Urban Sounds Using Deep Learning

Computers, materials & continua, 2023, Vol.75 (1), p.2191-2208

2023

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FACE RECOGNITION USING ARTIFICIAL NEURAL NETWORKS IN PARALLEL ARCHITECTURE

Journal of Theoretical and Applied Information Technology, 2016-09, Vol.91 (2), p.238-238

2016

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Applying Bayesian Regularization for Acceleration of Levenberg Marquardt based Neural Network Training

International journal of interactive multimedia and artificial intelligence, 2018-06, Vol.5 (1), p.68-72

2018

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THE EVALUATION OF AN EMBEDDED SYSTEM KIT AS A C PROGRAMMING TEACHING TOOL

Journal of ICT, 2014-01

2014

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Current status, challenges and needs for Pilgrim Health Record Management sharing network, the case of Malaysia

International archives of medicine, 2016

2016

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Comparison of Electricity Load Prediction Errors Between Long Short-Term Memory Architecture and Artificial Neural Network on Smart Meter Consumer

Advances in Visual Informatics, p.600-609

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Knowledge Technology: Third Knowledge Technology Week, KTW 2011, Kajang, Malaysia, July 18-22, 2011. Revised Selected Papers

1, 2012

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Impact of Resampling and Deep Learning to Detect Anomaly in Imbalance Time-Series Data

2022 14th International Conference on Computer Research and Development (ICCRD), 2022, p.37-41

2022

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Detection of impulsive sounds in stream of audio signals

2020 8th International Conference on Information Technology and Multimedia (ICIMU), 2020, p.283-287

2020

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A Systematic Literature Review of Machine Learning Methods for Short-term Electricity Forecasting

2020 8th International Conference on Information Technology and Multimedia (ICIMU), 2020, p.409-414

2020

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Applying Neuro-Fuzzy Model in Indoor Comfort Microclimate Control

2020 8th International Conference on Information Technology and Multimedia (ICIMU), 2020, p.177-182

2020

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Experiment on Electricity Consumption Prediction using Long Short-Term Memory Architecture on Residential Electrical Consumer

2021 International Congress of Advanced Technology and Engineering (ICOTEN), 2021, p.1-5

2021

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Electricity Anomaly Point Detection using Unsupervised Technique Based on Electricity Load Prediction Derived from Long Short-Term Memory

2021 2nd International Conference on Artificial Intelligence and Data Sciences (AiDAS), 2021, p.1-5

2021

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A new hybrid model of software engineering and systems engineering for embedded system development methodology

Proceedings of the 6th International Conference on Information Technology and Multimedia, 2014, p.346-350

2014

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Cyberbullying Detection and Prevention: Data Mining in Social Media

2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence), 2021, p.338-342

2021

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Electronic stethoscope for detecting heart abnormalities in athletes

2020 21st International Arab Conference on Information Technology (ACIT), 2020, p.1-5

2020

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Comparison of Electricity Usage Forecasting Model Evaluation Based on Historical Load Dataset Duration Using Long Short-Term Memory Architecture

Proceedings of the 8th International Conference on Computational Science and Technology, 2022, Vol.835, p.675-686

2022

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A Systematic Literature Review of Electricity Load Forecasting using Long Short-Term Memory

Proceedings of the 8th International Conference on Computational Science and Technology, 2022, Vol.835, p.765-776

2022

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Classification red blood cells using support vector machine

Proceedings of the 6th International Conference on Information Technology and Multimedia, 2014, p.265-269

2014

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Hybrid of HMM and Fuzzy Logic for Isolated Handwritten Character Recognition

Suliman, Azizah

2010

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A Comprehensive Analysis of Supervised Learning Techniques for Electricity Theft Detection

THE EVALUATION OF AN EMBEDDED SYSTEM KIT AS A C PROGRAMMING TEACHING TOOL

Factors Influencing the Teaching and Learning of Programming

Applying Bayesian Regularization for Acceleration of Levenberg-Marquardt based Neural Network Training

CNN-BiLSTM Hybrid Model for Network Anomaly Detection in Internet of Things

Fast Detection and Classification of Dangerous Urban Sounds Using Deep Learning

FACE RECOGNITION USING ARTIFICIAL NEURAL NETWORKS IN PARALLEL ARCHITECTURE

Applying Bayesian Regularization for Acceleration of Levenberg Marquardt based Neural Network Training

THE EVALUATION OF AN EMBEDDED SYSTEM KIT AS A C PROGRAMMING TEACHING TOOL

Current status, challenges and needs for Pilgrim Health Record Management sharing network, the case of Malaysia

Comparison of Electricity Load Prediction Errors Between Long Short-Term Memory Architecture and Artificial Neural Network on Smart Meter Consumer

Knowledge Technology: Third Knowledge Technology Week, KTW 2011, Kajang, Malaysia, July 18-22, 2011. Revised Selected Papers

Impact of Resampling and Deep Learning to Detect Anomaly in Imbalance Time-Series Data

Detection of impulsive sounds in stream of audio signals

A Systematic Literature Review of Machine Learning Methods for Short-term Electricity Forecasting

Applying Neuro-Fuzzy Model in Indoor Comfort Microclimate Control

Experiment on Electricity Consumption Prediction using Long Short-Term Memory Architecture on Residential Electrical Consumer

Electricity Anomaly Point Detection using Unsupervised Technique Based on Electricity Load Prediction Derived from Long Short-Term Memory

A new hybrid model of software engineering and systems engineering for embedded system development methodology

Cyberbullying Detection and Prevention: Data Mining in Social Media

Electronic stethoscope for detecting heart abnormalities in athletes

Comparison of Electricity Usage Forecasting Model Evaluation Based on Historical Load Dataset Duration Using Long Short-Term Memory Architecture

A Systematic Literature Review of Electricity Load Forecasting using Long Short-Term Memory

Classification red blood cells using support vector machine

Hybrid of HMM and Fuzzy Logic for Isolated Handwritten Character Recognition

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