Search Results - (( developing flow prediction algorithm ) OR ( java implication based algorithm ))

Ensemble Dual Recursive Learning Algorithms for Identifying Custom Tanks Flow with Leakage by Akib, Afifi, Saad , Nordin, Asirvadam , Vijanth Sagayan

“…This paper proposed that, combination of two algorithms into one learning algorithm for predicting mass flow rate of a flow with leakage resulting in a better mass prediction error as compared to a model with single learning algorithm.…”
Get full text
Get full text

Ensemble dual recursive learning algorithms for identifying flow with leakage by Akib, Afifi, Saad , Nordin, Asirvadam , Vijanth Sagayan

“…This paper proposed that, combination of two algorithms into one learning algorithm for predicting mass flow rate of a flow with leakage resulting in a better mass prediction error compare to a model with single learning algorithm.…”
Get full text
Get full text

Developments of leak detection, diagnostics, and prediction algorithms in multiphase flows by Kumar Vandrangi, S., Alemu Lemma, T., Muhammad Mujtaba, S., Ofei, T.N.

Get full text
Get full text

A new soft computing model for daily streamflow forecasting by Sammen S.S., Ehteram M., Abba S.I., Abdulkadir R.A., Ahmed A.N., El-Shafie A.

Adaptive mesh refinement immersed boundary method for simulations of laminar flows past a moving thin elastic structure by Aldlemy, M.S., Rasani, M.R., Ariffin, A.K., Ya, T.M.Y.S.T.

“…Hence, in this work, an algorithm is developed to simulate fluid-structure interactions of moving deformable structures with very thin thicknesses. …”
Get full text
Get full text

Real-time implementation of model predictive control for flow control application by Rosli, N.S., Ibrahim, R.

“…This paper presents real-time implementation of model predictive control (MPC) of flow process application. …”
Get full text
Get full text

Recursive linear network modeling for detecting gas leak by Md Akib, Afifi, Saad, Nordin, Asirvadam, Vijanth

“…This paper proposed that, RLS algorithm model with Inversion Lemma update scheme can predict the release flow rate at very high accuracy comparatively and can to adopt the learning process very well.…”
Get full text
Get full text

Analysis of bubble departure and lift-off boiling model using computational intelligence techniques and hybrid algorithms by Quadros, Jaimon Dennis, Mogul, Yakub Iqbal, Ağbulut, Ümit, Gürel, Ali Etem, Khan, Sher Afghan, Akhtar, Mohammad Nishat, Jilte, Ravindra D., Asif, Mohammad

“…The current study, therefore, analyses the predictability of the wall temperature in terms of operating pressure, bulk flow velocity, and wall heat flux, based on the BDL model developed by Zenginer, which included two suppression factors namely, flow-induced and subcooling factors, respectively. …”
Get full text
Get full text
Get full text
Get full text
Get full text

Modelling of river flow using particle swarm optimized cascade-forward neural networks: A case study of kelantan river in malaysia by Hayder G., Solihin M.I., Mustafa H.M.

“…Numerous studies have been conducted in river basin modelling for the prediction of flow and mitigation of flooding events as well as water resource management. …”

Analysing the accuracy of machine learning techniques to develop an integrated influent time series model: case study of a sewage treatment plant, Malaysia by Ansari, Mozafar, Othman, Faridah, Abunama, Taher, El-Shafie, Ahmed

“…An integrated model was developed based on the individual models’ prediction ability for low, average and peak flow. …”
Get full text
Get full text

The potential of a novel support vector machine trained with modified mayfly optimization algorithm for streamflow prediction by Adnan R.M., Kisi O., Mostafa R.R., Ahmed A.N., El-Shafie A.

A comparative study on sand transport modeling for horizontal multiphase pipeline by Choong, K.W., Wen, L.P., Tiong, L.L., Anosike, F., Shoushtari, M.A., Saaid, I.B.M.

“…There is no explicit calculation algorithm for sand transportation modeling readily available in flow simulators. …”
Get full text
Get full text

Modelling of optimized hybrid debris flow using airborne laser scanning data in Malaysia by Lay, Usman Salihu

“…The general objective of the study was the development of optimized hybrid debris flow models using airborne laser scanning data and Machine learning algorithms in Malaysia. …”
Get full text
Get full text

DEVELOPMENT OF COMPOSITIONAL MODEL FOR PREDICTING VISCOSITY OF CRUDE OILS USING POLYNOMIAL NEURAL NETWORKS (PNN) INDUCED BY GROUP METHOD OF DATA HANDLING (GMDH) by Wen Pin, Yong

“…Viscosity or the intemal resistance of the fluids to flow is the most important transport property that controls and influences the flow of oil through porous media and pipes. …”
Get full text
Get full text

DEVELOPMENT AND VALIDATION OF COMPUTATIONAL MODELS FOR SAND EROSION AND CORROSION PREDICTION IN PIPES AND FITTINGS by MOHYALDINN LLHAJ, MYSARA EISSA

“…The pnmary objective of this research is to develop computational models for predicting sand erosion and C02 corrosion and their co-action (erosion-corrosion) in pipelines and pipe components (elbows and tees). …”
Get full text
Get full text

Analysis of parallel flow type internally cooled membrane-based liquid desiccant dehumidifier using a neural networks approach by Quadros, Jaimon Dennis, Khan, Sher Afghan, T., Prashanth

“…Forward and reverse mapping models were developed using the trained ANNs. Forward modeling predicts the performance parameters of the IMLDD (i.e., gdh, gex, and nuc) for known combinations of operating parameters (i.e., Tai, Cdsi, m_ dsi, Tcwi). …”
Get full text
Get full text
Get full text
Get full text

Base drag estimation in suddenly expanded supersonic flows using backpropagation genetic and recurrent neural networks by Jaimon, Dennis Quadros, Prashanth, T., Khan, Sher Afghan

“…That prompted the current work to develop input-output relationships for a suddenly expanded flow process using experiments and neural network-based forward and reverse mapping. …”
Get full text
Get full text
Get full text
Get full text

Adaptive neuro-fuzzy inference system coupled with shuffled frog leaping algorithm for predicting river streamflow time series by Mohammadi B., Linh N.T.T., Pham Q.B., Ahmed A.N., Vojtekov� J., Guan Y., Abba S.I., El-Shafie A.

Standard equations for predicting the discharge coefficient of a modified high-performance side weir by Zaji, Amir Hossein, Bonakdari, Hossein, Shamshirband, Shahaboddin

“…The goal of this study is to develop accurate standard equations for use in predicting the discharge coefficient of a high-performance, modified triangular side weir. …”
Get full text
Get full text

Design of a hybrid ANN multi-objective whale algorithm for suspended sediment load prediction by Ehteram M., Ahmed A.N., Latif S.D., Huang Y.F., Alizamir M., Kisi O., Mert C., El-Shafie A.