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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Comments on “Probiotic Bifidobacterium strains and galactooligosaccharides improve intestinal barrier function in obese adults but show no synergism when used together as synbiotic... by Ranneh, Yazan, M. Mahmoud, Ayman, Fadel, Abdulmannan, Abu Bakar, Mohd Fadzelly, Md Akim, Abdah

“…Department of Nutrition and Dietetics, College of Pharmacy, Al-Ain University, Al-Ain, United Arab Emirates, 2 Zoology Department, Faculty of Science, Physiology Division, Beni-Suef University, Beni-Suef, Egypt, 3 Department of Life Sciences, Faculty of Science and Engineering, Manchester Metropolitan University, Manchester, United Kingdom, 4 School of Sport and Exercise Sciences, Liver-Pool John Moores University, Liverpool, United Kingdom, 5 Faculty of Applied Sciences and Technology, Universiti Tun Hussein Onn Malaysia (UTHM), Pagoh, Johor, Malaysia, 6 Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia…”
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Application of intelligent technique for development of Colpitts oscillator by Ameer Amsa, Mohamad Ghazali, Aibinu, Abiodun Musa, Salami, Momoh Jimoh Emiyoka

“…In this paper, new method of Colpitts oscillator designing through combination of Genetic Algorithm and Artificial Neural Network (ANN) has been suggested. The Thevenin's resistors for the common base Colpitts oscillator are optimized through application of GA and ANN. …”
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Development of an artificial neural network algorithm for predicting the cutting force in end milling of Inconel 718 alloy by Hossain, Ishtiaq, Amin, A. K. M. Nurul, Patwari, Muhammed Anayet Ullah

“…Compared to traditional computing methods, the artificial neural network (ANN) is robust and global. ANN has the characteristics of universal approximation, parallel distributed processing, hardware implementation, learning and adaptation, and multivariable systems. …”
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Modelling of traffic control delays at priority junctions using artificial neural network by Mohammad Ali Sahraei

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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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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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EMG motion pattern classification through design and optimization of neural network by Ahsan, Md. Rezwanul, Ibrahimy, Muhammad Ibn, Khalifa, Othman Omran

“…This paper illustrates the classification of EMG signals through design and optimization of Artificial Neural Network (ANN). Different types of ANN models are basically structured with many interconnected network elements which can develop pattern classification strategies based on a set of input/training data. …”
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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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Computational intelligence techniques for hand gesture recognition by Bilal, Sara Mohammed Osman Saleh, Akmeliawati, Rini

“…ANN and its variation such as have be<:n used for SL geslure recognition in any forms as in [4]_ Two noticed research work for gesltlre recognilion using ANN where 3D Hopfield NN [5] and Time-Delay NN (TDNN) has been developed by [6]. …”
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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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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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Mechanical, durable and acoustic properties evaluation of concrete containing granulated blast furnace slag and waste tyres aggregate by Mohamed Mhaya, Akram

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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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Performance analysis of two packet scheduling algorithms in downlink 3GPP LTE system by Xue, Minjie, Sandrasegaran, Kumbesan, Mohd. Ramli, Huda Adibah, Lin, Cheng-Chung

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Prediction of fracture dip using artificial neural networks by Alizadeh, Mostafa

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