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581
Electricity consumption forecasting using Nonlinear Autoregressive with External (Exogeneous) input neural network
Published 2019“…Even though there are previous works of electricity consumption forecasting using Artificial Neural Network (ANN), but most of their data is multivariate data. …”
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582
The impact of COVID-19 on tourism sector in India
Published 2021“…As there has been a substantial decline in the arrivals of overseas tourists in India in 2020, the paper aims to predict foreign tourists’ arrival in India and FEE using artificial neural networks (ANN). Furthermore, we analyse the impact of COVID-19 based on four scenarios considering with and without lockdown in terms of loss and gain in FEE. …”
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583
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584
Evaluating the Brexit and COVID-19’s influence on the UK economy: A data analysis
Published 2023“…For instance, the unemployment rate displayed a downward trend until 2020 but experienced a spike in 2021, persisting for a six-month period. …”
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585
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586
Feature extraction of speech signal and heartbeat detection in angry emotion identification
Published 2013“…Then, Artificial Neural Network (ANN) was used to classify each parameter features such as mean fundamental frequency, maximum fundamental frequency, standard deviation fundamental frequency, mean amplitude, pause length ratio and first formant frequency to recognize the emotion. …”
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587
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588
Outdoor thermal comfort index in Malaysian urban areas
Published 2019“…It was revealed that the UTCI values at five principal meteorological stations for the worst case scenario of heat stress were in the range of 35 °C to 37 °C. …”
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Thesis -
589
Electricity consumption forecasting using Adaptive Neuro-Fuzzy Inference System (ANFIS)
Published 2019“…The univariate data was converted to multivariate and ANFIS was chosen as it carries both advantages of Artificial Neural Network (ANN) and Fuzzy Inference System (FIS). ANFIS yields the MAPE between actual and predicted electricity consumption of 0.4002% which is relatively low if compared to previous works of UTHM electricity forecasting using time series model (11.14%), and first-order fuzzy time series (5.74%), and multiple linear regression (10.62%).…”
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590
Power forecasting from solar panels using artificial neural network in UTHM Parit Raja
Published 2021“…The collected data are used in developing Artificial Neural Network (ANN) model. Multilayer Perceptron (MLP) and Radial Basis Function (RBF) are the techniques used to forecast the outputs of the PV. …”
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591
Two stages hybrid model of fuzzy linear regression with support vector machines for colorectal cancer
Published 2020“…Other than that, the parameter, error and explanation of the five procedures to both new models were included. …”
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Thesis -
592
Impact of digital assistant attributes on millennials' purchasing intentions: a multi-group analysis using PLS-SEM, artificial neural network and fsQCA
Published 2024“…A combined approach of PLS-SEM, Artificial Neural Network (ANN) and Fuzzy-set Qualitative Comparative Analysis (fsQCA) is used to predict the PUI of 345 millennials. …”
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593
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594
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595
Iodine status of children from the Red Sea, and the Nile Valley regions of the Sudan: implications for health and development
Published 2010“…It is estimated; about 1.5 billion people in 118 countries are at risk of developing one or more of the disorders induced by iodine deficiency. …”
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Thesis -
596
Development of Smart Sajadah system
Published 2020“…Solat is the central element of muslim’s worship. It is one of the five pillars of Islamic faith and an obligatory religious duty for every muslim. …”
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Book Section -
597
Meaningful eating: a new method for food design
Published 2013“…TED is designed by integrating a tool and a technique called Visual Explorer, developed by The Centre for Creative Leadership, into a particular structure derived from the Five Aspects Meal Model, introduced by Edwards J.S.A. and Gustafsson I.B. (2008a). …”
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Thesis -
598
Comparison study of sorting techniques in dynamic data structure
Published 2016“…The execution time for the five sorting algorithms of each group of data elements were computed. …”
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Thesis -
599
Comparison of intelligent approaches for cycle time prediction in injection moulding of a medical device product
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Conference or Workshop Item -
600
Integration of Artificial Intelligence in sustainable manufacturing: current status and future opportunities
Published 2023“…Content analysis of extant literature reveals that Genetic Algorithm (GA), Artificial Neural Network (ANN), and Fuzzy Logic are the most widely used AI techniques in SM. …”
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Article