Publications

• NB Shaik, W Benjapolakul, SR Pedapati, K Bingi, NT Le, W Asdornwised, (2022), Recurrent neural network-based model for estimating the life condition of a dry gas pipeline, Process Safety and Environmental Protection 164, 639-650

• NB Shaik, SR Pedapati, SAA Taqvi, AR Othman, FAA Dzubir (2020) A feed-forward back propagation neural network approach to predict the life condition of crude oil pipeline, Processes 8 (6), 661

• NB Shaik, K Jongkittinarukorn, K Bingi, XGBoost based enhanced predictive model for handling missing input parameters: A case study on gas turbine, Case studies in chemical and environmental engineering 10, 100775

• NB Shaik, SR Pedapati, AR Othman, K Bingi, FAA Dzubir, An intelligent model to predict the life condition of crude oil pipelines using artificial neural networks, Neural Computing and Applications 33 (21), 14771-14792

• NB Shaik, K Jongkittinarukorn, W Benjapolakul, K Bingi, A novel neural network-based framework to estimate oil and gas pipelines life with missing input parameters Scientific Reports 14 (1), 4511

• NB Shaik, A Derakhshan, M Nasim, K Jongkittinarukorn, Thermo-Mechanical Stress Prediction in Steel IPE Profiles under Asymmetric Thermal Loading: A Finite Element and XGBoost-Based Approach, Results in Engineering, 108676

• NB Shaik, SR Pedapati, FABA Dzubir, Remaining useful life prediction of a piping system using artificial neural networks: A case study, Ain Shams Engineering Journal 13 (2), 101535

• S Ihssan, NB Shaik, N Belouaggadia, M Jammoukh, A Nasserddine, Enhancing PEHD pipes reliability prediction: Integrating ANN and FEM for tensile strength analysis, Applied Surface Science Advances 23, 100630

• NB Shaik, V Aluru, K Jongkittinarukorn, P Aluru, Optimizing structural integrity of a pressure vessel via finite element analysis and machine learning based XGBoost approaches, Scientific Reports 15 (1), 11485

• HA Umar, NB Shaik, M Inayat, SA Sulaiman, ANN-RSM based multi-parametric optimisation and modelling of H2 and syngas from co-gasification of residues from oil palm plants, Process Safety and Environmental Protection 188, 759-780

• NB Shaik, KM Mantrala, B Bakthavatchalam, QF Gillani, MF Rehman, Corrosion behavior of LENS deposited CoCrMo alloy using Bayesian regularization-based artificial neural network (BRANN), Journal of Bio-and Tribo-Corrosion 7 (3), 116

• B Bakthavatchalam, NB Shaik, PB Hussain, An artificial intelligence approach to predict the thermophysical properties of MWCNT nanofluids, Processes 8 (6), 693

• NB Shaik, JKS Sayani, W Benjapolakul, W Asdornwised, S Chaitusaney, Experimental investigation and ANN modelling on CO2 hydrate kinetics in multiphase pipeline systems, Scientific Reports 12 (1), 13642

• NB Shaik, M Inayat, W Benjapolakul, B Bakthavatchalam, SD Barewar, Artificial neural network modeling and optimization of thermophysical behavior of MXene Ionanofluids for hybrid solar photovoltaic and thermal systems, Thermal Science and Engineering Progress 33, 101391

• NB Shaik, SR Pedapati, SAA Taqvi, S Ahsan, FA Abd Dzubir, Classification of faults in oil and gas pipelines using support vector machines, Pertanika J. Sci. Technol 28, 173-184

• K Bingi, AP Singh, R Ibrahim, A Rajamallaiah, NB Shaik, Integrated Analysis of Mapping, Path Planning, and Advanced Motion Control for Autonomous Robotic Navigation, Fractal and Fractional 9 (10), 640

• U Suparmaniam, NB Shaik, MK Lam, JW Lim, Y Uemura, SH Shuit, ..Valorization of fish bone waste as novel bioflocculant for rapid microalgae harvesting: experimental evaluation and modelling using back propagation artificial neural network, Journal of Water Process Engineering 47, 102808

• M Inayat, SA Sulaiman, A Inayat, NB Shaik, AR Gilal, M Shahbaz, Modeling and parametric optimization of air catalytic co-gasification of wood-oil palm fronds blend for clean syngas (H2+ CO) production, International Journal of Hydrogen Energy 46 (59), 30559-30580

• NB Shaik, KM Mantrala, KL Narayana, Prediction of corrosion properties of LENSTM deposited cobalt, chromium and molybdenum alloy using artificial neural networks, International Journal of Materials and Product Technology 62 (1-3), 4-15

• Srii, NB Shaik, M Jammoukh, H Ennadafy, L El Farissi, A Zamma, Prediction of the mechanical behaviour of HDPE pipes using the artificial neural network technique, Engineering Journal 27 (12), 37-48

• M Maiti, M Sunder, R Abishek, K Bingi, NB Shaik, W Benjapolakul Recent advances and applications of fractional-order neural networks, Engineering Journal 26 (7), 49-67.

• A Sinha, D Kumar Rajak, NB Shaik, RK Mohapatra, KK Saxena, R Singh, … A review on 4D printing of Nickel-Titanium smart alloy processing, the effect of major parameters and their biomedical applications, Proceedings of the Institution of Mechanical Engineers, Part E: Journal of …

• PB Hussain, NB Shaik, AAB Mokhtar, B Bakthavatchalam, F Ahmad, Failure analysis of a broken SA564 stainless steel pump shaft, International Journal of Materials and Product Technology 62 (1-3), 152-166,

• EB Ramlee, PB Hussain, NB Shaik, Enhancing the lifetime and corrosion resistance of gears made of carbon steel, Materialwissenschaft und Werkstofftechnik 51 (6), 774-779

   

   

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