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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Intelligent solar panel monitoring system and shading detection using artificial neural networks by M. Abdallah, Fahad Saleh, Abdullah, M.N., Musirin, Ismail, M. Elshamy, Ahmed

“…This paper proposes a novel monitoring system that uses Artificial Neural Network (ANN) technology to detect shading and other faults in PV panels. …”
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A new study to suppress mutual-coupling between waveguide slot array antennas based on metasurface bulkhead for MIMO systems by Alibakhshikenari, Mohammad, Virdee, Bal Singh, Khalily, Mohsen, See, Chan, Abd-Alhameed, Raed, Falcone, Francisco, Limiti, Ernesto

“…In addition, the bandwidth extends by ~10%, and the gain improves by 14.66%. The proposed method is should find application in MIMO systems where high isolation between neighbouring radiation elements is required to improve the antenna characteristics, and mimimise array phase errors, which is necessary to enhance the system performance.…”
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Future reservoir performance projection using integrated models in the framework of climate change by Hamidon, Nuramidah

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Estimation of monsoon rainfall by single polarization weather radar by Roslan, Nurulhani

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Qualitative network analysis for migration studies: beyond metaphors and epistemological pitfalls by Ryan, Louise, Dahinden, Janine

“…While seeking to go beyond metaphors and delve into the tool box of SNA, in order to gain deeper understandings of social networks, we argue that this cannot mean purely quantitative research techniques. …”
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Comparison of intelligent approaches for cycle time prediction in injection moulding of a medical device product by Kariminejad, Mandana, Tormey, David, Huq, Saif, Morrison, Jim, McAfee, Marion

“…The relationship between the process input variables and the resulting cycle time is mapped with an artificial neural network (ANN) and an adaptive neuro-fuzzy system (ANFIS). …”
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Appraisal and performance prediction of Senai-Desaru expressway cable-stayed bridge subject to earthquakes by Aizon, Nabila Huda

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Dynamic load forecasting for commercial power network by Alzalet, Abdusalam Rajb

“…When the approaches are compared according to their highest prediction error, the highest error for linear regression and Polynomial equation approaches are very high compared to the ANN approach. Generally the ANN approach has produced better results.…”
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Development of coated peanut separator and frying skillet machine by Yusof, M Sallehuddin, Fadilullah, M Zul Nadzmi, Hassan, Suhaimi, Maksud, M Idris, Yunos, Muhamad Zaini

“…The groundnut is sticking and become like a ping pong size ball and the time consuming to fry is longer. …”
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Determination of adjusted reference intervals of urinary biomarkers of oxidative stress in healthy adults using GAMLSS models by Chamitava, Liliya, Garcia-Larsen, Vanessa, Cazzoletti, Lucia, Degan, Paolo, Pasini, Andrea, Bellisario, Valeria, Corsico, Angelo G., Nicolis, Morena, Olivieri, Mario, Pirina, Pietro, Ferrari, Marcello, Stasinopoulos, Dimitrios, Zanolin, Maria E.

“…Generalized additive models for location, scale and shape (GAMLSS) were used to find determinants of the biomarkers among gender, age, season and distance from collection (DFC), and to predict their RI. …”
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New approach to suppress mutual coupling between longitudinal-slotted arrays based on SIW antenna loaded with metal-fences working on VHF/UHF frequency-bands: study, investigation,... by Alibakhshikenari, Mohammad, Virdee, Bal Singh, Khalily, Mohsen, See, Chan, Abd-Alhameed, Raed, Falcone, Francisco, Limiti, Ernesto

“…The proposed structure should find application in multiple-input multiple-output (MIMO) and radar systems.…”
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Prediction of fracture dip using artificial neural networks by Alizadeh, Mostafa

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Predictive models in near-infrared spectroscopic analysis for blood hemoglobin prediction by Mohd Idrus, Mohd Nazrul Effendy

“…The aims of this study is to investigate the accuracy of linear partial least square (PLS), nonlinear artificial neural network (ANN), and hybrid partial least square - artificial neural network (PLS-ANN) predictive modelling in NIRS analysis. …”
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Landslide susceptibility mapping in central zab basin using satellite data by Shahabi, Himan

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Cost-aware real-time divisible loads scheduling in cloud computing by Abdul Majid, Mimi Liza

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Geospatial-based data and knowledge driven approaches for burglary crime susceptibility mapping in urban areas by Noor Azmy, Suzanna

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Damage intensity class for reinforced concrete beam-column joint subjected to lateral cyclic loading by Ganasan, Reventheran

“…Keywords: RC beam-column joint; Acoustic emission; Lateral cyclic loading; Shear link aspect; Anchorage length aspect; ANN prediction models…”
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Design optimization for the two-stage bivariate pattern recognition scheme by Mokhtar, Mohd Shukri

“…In order to overcome this issue, many researches proposed an artificial neural network (ANN) - based pattern recognition schemes. Such schemes were mainly utilize raw data as input representation into an ANN recognizer, which resulted in limited performance. …”
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