Prediction of indoor environmental parameters for naturally ventilated building using artificial neural network: a reflection of outdoor parameters by Ghazali, Suraya

“…This research investigates the environment condition within two types of buildings, naturally ventilated and air-conditioned to gain better understanding of the indoor environment condition of the selected buildings. The main purpose of this study is to develop predictive model to forecast indoor environmental parameters using Artificial Neural Network (ANN) technique. …”
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A Particle Swarm Optimization Trained Feedforward Neural Network for Under-Voltage Load Shedding by Sharman Sundarajoo, Sharman Sundarajoo, Dur Muhammad Soomro, Dur Muhammad Soomro

“…PSO is used to obtain the best topology and optimum initial weights of the ANN model to enhance the precision of the ANN model. …”
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A Particle Swarm Optimization Trained Feedforward Neural Network for Under-Voltage Load Shedding by Sharman Sundarajoo, Sharman Sundarajoo, Dur Muhammad Soomro, Dur Muhammad Soomro

“…PSO is used to obtain the best topology and optimum initial weights of the ANN model to enhance the precision of the ANN model. …”
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A Particle Swarm Optimization Trained Feedforward Neural Network for Under-Voltage Load Shedding by Sharman Sundarajoo, Sharman Sundarajoo, Dur Muhammad Soomro, Dur Muhammad Soomro

“…PSO is used to obtain the best topology and optimum initial weights of the ANN model to enhance the precision of the ANN model. …”
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A Particle Swarm Optimization Trained Feedforward Neural Network for Under-Voltage Load Shedding by Sharman Sundarajoo, Sharman Sundarajoo, Dur Muhammad Soomro, Dur Muhammad Soomro

“…PSO is used to obtain the best topology and optimum initial weights of the ANN model to enhance the precision of the ANN model. …”
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A Particle Swarm Optimization Trained Feedforward Neural Network for Under-Voltage Load Shedding by Sharman Sundarajoo, Sharman Sundarajoo, Dur Muhammad Soomro, Dur Muhammad Soomro, Non-members, Non-members

“…PSO is used to obtain the best topology and optimum initial weights of the ANN model to enhance the precision of the ANN model. …”
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Computational thinking problem framing artefacts in design science research methodology for Malaysian small and medium enterprises by Nuar, Ahmad Najmi Amerhaider

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Predictive model and near infrared spectroscopy in predicting the diesel fuel properties by Gamal Al-kaf, Hasan Ali

“…NIR spectroscopy shows an enormous potential for quantitative analysis of complex samples by coupling with artificial neural networks (ANNs). Although a single layer ANN shows promising in the establishing better relationship between a component of interest and NIR spectrum, a different algorithm for updating weight that has been proved to improve the performance of the multilayer could further reveal the potential of single linear layer ANN in NIR spectroscopic analysis. …”
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Tunneling-induced ground movement and building damage prediction using hybrid artificial neural networks by Hajihassani, Mohsen

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Classification of water quality using artificial neural network by Sulaiman, Khadijah

“…The ANN produced highly accurate water quality classification. …”
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Harmonic elimination by switching angle optimization technique for multilevel inverter by Altayib Sahhouk, Masoud Albasheer

“…The simulation results with using the PI controller and ANN controller to reduce THDs have been compared and discussed. …”
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Determining root cause of construction waste generation: a global context by Kaliannan, Suaathi, Nagapan, Sasitharan, Abdullah, Abd Halid, Sohu, Samiullah, Ahmed Jhatial, Ashfaque

“…The rapid growth of this sector directly produces a huge amount of construction waste. Hence, to find out the main root causes of the generation, this paper aimed to determine root causes of the construction waste generation in the construction sector. …”
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Does cognitive biased knowledge influence investor decisions? An empirical investigation using machine learning and artificial neural network by Bihari, Anshita, Dash, Manoranjan, Muduli, Kamalakanta, Kumar, Anil, Mulat-Weldemeskel, Eyob, Luthra, Sunil

“…The goal of this research is to find out how biases in information based on knowledge affect decisions about investments. …”
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Developing a hybrid hidden MARKOV model using fusion of ARMA model and artificial neural network for crude oil price forecasting by Isah, Nuhu

“…In view of this drawbacks of these three models (ANN, ARMA and HMM), we developed an efficient Hybrid Hidden Markov Model using fusion of ARMA Model and Artificial Neural Network for crude oil price forecasting, MATLAB was employed to develop the four models (Hybrid HMM, HMM, ARMA and ANN). …”
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Modelling of traffic control delays at priority junctions using artificial neural network by Mohammad Ali Sahraei

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Prediction of sedimentation and bank erosion due to the construction of Kahang Dam by Nda, Muhammad

“…This research used the Artificial Neural Network (ANN) and ANN with Autoregressive (AR) (NNETAR) in predicting suspended sediment concentration using sediment concentration, discharge and water level as inputs. …”
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An e-learning system in Malaysia based on green computing and energy level by Ullah, Arif, Mohd Nawi, Nazri, Shahzad, Asim, Khan, Sundas Naqeeb, Aamir, Muhammad

“…Power and energy are a primary concern in the design and implementing green computing. Green is of the main step to make the computing world friendly with the environment. …”
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Data-driven modelling and optimization of palm oil refining process by Sulaiman, Nurul Sulaiha

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Forecasting of groundwater level using artificial neural network by incorporating river recharge and river bank infiltration by Shamsuddin, Mohd Khairul Nizar, Mohd Kusin, Faradiella, Sulaiman, Wan Nor Azmin, Ramli, Mohammad Firuz, Tajul Baharuddin, Mohamad Faizal, Adnan, Mohd Shalahuddin

“…ANN model was used in this study is based on the long period forecasting of daily groundwater tables. …”
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Modeling of fenton treatment for landfill leachate by response surface methodology, multiple linear regression and artificial neural network by Roudi, Anita Maslahati

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