Hybrid Mfcc And Lpc For Stuttering Assessment Using Neural Network by Choo , Chian Choong

“…The objective of this project is to develop classifier for prolongation and repetition disfluencies in speech using artificial neural network. Three different feature extraction was used in this project, which is Mel Frequency Cepstral Coefficient (MFCC), Linear Prediction Coefficient (LPC) and hybrid MFCC and LPC. …”
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Study Of Modified Training Algorithm For Optimized Convergence Speed Of Neural Network by Kang, Miew How

“…Artificial neural network (ANN) are widely used as an engineering approach to mimic the human brain activities. …”
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Predicting the Significant Characteristics of Concrete Containing Palm Oil Fuel Ash by Golizadeh, Hamed, Namini, Saeed Banihashemi

“…This study aims at developing an empirical model to predict the compressive strength of concrete using POFA as a cement replacement material and other properties of the concrete such as the slump and modulus of elasticity using an artificial neural network. Mixtures of concrete were selected with water-to-binder ratios of 0.50, 0.55 and 0.60, and 10%, 20%, 30% and 40% of the cement content was POFA. …”
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Neural Network Models And Sensitivity Analysis For The Production Of Isopropyl Myristate In Semibatch Reactive Distillation by Bashah, Nur Alwani Ali

“…Hence, the empirical model such as the artificial neural network (ANN) model provides better solution as it can deal with highly nonlinear and complex structures. …”
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Bedload Transport Of Small Rivers In Malaysia by Sirdari, Zahra Zangeneh

“…Genetic programming (GP) and artificial neural network (ANN) models that are particularly useful in data interpretation without any restriction to an extensive database are presented as complementary tools for modelling bed load transport in small streams. …”
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Penganggaran Pecahan Minyak Menggunakan Sistem Pintar Berbilang by Salleh, Tuan Sharifah @ Tuan Norhasliza

“…Estimation of oil fraction is important to know the actual value of oil production. Artificial neural network (ANNs) are able to be used to estimate parameters of flow processes, based on electrical capacitance–sensed tomographic (ECT) data. …”
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Multi-objective Hybrid Election Algorithm For Random K Satisfiability In Discrete Hopfield Neural Network by Karim, Syed Anayet

“…In the current Artificial Neural Network research development, symbolic logical structure plays a vital role for describing the concept of intelligence. …”
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A review on short-term prediction of air pollutant concentrations by Raffee, Ahmad Fauzi, Rahmat, Siti Nazahiyah, Abdul Hamid, Hazrul, Jaffar, Muhammad Ismail

“…Hence, in order to predict the concentration of air pollutants that involves multiple parameters, both artificial neural network (ANN) and principal component regression (PCR) have been widely used, in comparison to classical multivariate time series. …”

Comparative analysis of river flow modelling by using supervised learning technique by Ismail, Shuhaida, Pandiahi, Siraj Mohamad, Shabri, Ani, Mustapha, Aida

“…The algorithms include the Least Square Support Vector Machine (LSSVM), Artificial Neural Network (ANN) and Wavelet Regression (WR). …”
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Development of neural network models for a crude oil distillation column by Mohd. Yusof, Khairiyah, Karray, Fakhri, Douglas, Peter L.

“…This paper discusses the development of artificial neural network (ANN) models for a crude oil distillation column. …”
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Application of microwave in wood tomography by A. Jalil @ Zainuddin, Mohd. Hafiz

“…Several experiments must be performed with several samples of woods and results of measurement must be studied in order to determine the different measurement between the defect wood and good wood. Artificial Neural Network (ANN) is applied in Visual Basic to recognize the pattern voltage based on experiment data to develop 2D image and determine the internal characteristic of wood. …”
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Simulation Of Carbon Nanotubes For Hydrogen Storage Using Neural Network: A Preliminary Study by Razak, N.A., Arshad, K.A., Ismail , A.F., Aziz, M., Sanip, S.M.

“…Based on previous researches, a numerical simulation of CNT for hydrogen storage using Artificial Neural Network (ANN) will be developed.…”
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A neural model for predicting the time performance of traditional general contract (TGC) project by Mohamad Zin, Rosli, Tan, Caren Cai Loon

“…The outcome of the survey formed a basis for the development of the time performance prediction model using Artificial Neural Network technique. The best model was found to be a multi-layer back-propagation neural network consists of eight input nodes, five hidden nodes and three output nodes. …”
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Subcritical and supercritical fluid extraction a critical review of its analytical usefulness by Mustapa, A. N., Abdul Manan, Zainuddin, Mohd. Azizi, C. Y.

“…Results obtained from this study will be compared with the previous work and for the first time, simulation for the SFE process of palm oil will be performed using Artificial Neural Network (ANN) and it will be implemented in comparisons as well when the operating conditions of the previous findings are different from this study. …”
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Artificial Intelligence Model to Predict Surface Roughness of Ti-15-3 Alloy in EDM Process by Khan, Md. Ashikur Rahman, M. M., Rahman, K., Kadirgama, R. A., Bakar

“…Hence, the present research proposes artificial neural network (ANN) models for the prediction of surface roughness on first commenced Ti-15-3 alloy in electrical discharge machining (EDM) process. …”
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Response Surface Method and Neural Network to Determine Surface Roughness for Laser Cutting on Acrylic Sheets by M. M., Noor, K., Kadirgama

“…The result obtained from the predictive model was also compared using multilayer perceptions with back–propagation learning rule artificial neural network. The first order equation revealed that power requirement was the dominant factor which was followed by tip distance, and cutting speed. …”
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Stochastic numerical treatment for solving Falkner–Skan equations using feedforward neural networks by Ahmad, Iftikhar, Ahmad, Siraj-ul-Islam, Bilal, Muhammad Qamar, Anwar, Nabeela

“…Log-sigmoid activation function is used in artificial neural network architecture. The proposed techniques are applied to a number of cases for Falkner–Skan problems, and results were compared with GA hybrid results in all cases and were found accurate. …”
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Time series forecasting based on wavelet decomposition and correlation feature subset selection by Ahmed, Ehab Ali, Syafiq Fauzi, Kamarulzaman, Gisen, J. I. A., Zuriani, Mustaffa

“…The appropriate wavelet function selection and the level of decomposition are very necessary for a successful use of the wavelet coupled with the artificial neural network (ANN) models. This is because it can enhance the performance of the model. …”
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Grayscale and binary enhancement of dorsal hand vein images by Marlina, Yakno, Junita, Mohd Saleh, Bakhtiar, Affendi Rosdi

“…For binary enhancement, a combination of three techniques; Artificial Neural Network pixel corrector, Binary Median Filter and Massive Noise Removal, are applied on the binary hand vein images. …”
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Energy consumption prediction by using machine learning for smart building: Case study in Malaysia by M. Shapi, Mel Keytingan, Nor Azuana, Ramli, Awalin, Lilik J.

“…Three methodologies which are Support Vector Machine, Artificial Neural Network, and k-Nearest Neighbour are proposed for the algorithm of the predictive model. …”
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