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Mohammad Danish
Mohammad Danish
Department of Chemical Engineering, Aligarh Muslim University, Aligarh-202002, UP, INDIA
Verified email at zhcet.ac.in - Homepage
Title
Cited by
Cited by
Year
Development of SVR-based model and comparative analysis with MLR and ANN models for predicting the sorption capacity of Cr (VI)
N Parveen, S Zaidi, M Danish
Process Safety and Environmental Protection 107, 428-437, 2017
812017
Support vector regression model for predicting the sorption capacity of lead (II)
N Parveen, S Zaidi, M Danish
Perspectives in Science 8, 629-631, 2016
652016
A note on the solution of singular boundary value problems arising in engineering and applied sciences: use of OHAM
M Danish, S Kumar, S Kumar
Computers & chemical engineering 36, 57-67, 2012
642012
Exact analytical solutions for the Poiseuille and Couette–Poiseuille flow of third grade fluid between parallel plates
M Danish, S Kumar, S Kumar
Communications in Nonlinear Science and Numerical Simulation 17 (3), 1089-1097, 2012
532012
A comprehensive investigation of external mass transfer and intraparticle diffusion for batch and continuous adsorption of heavy metals using pore volume and surface diffusion …
M Danish, KB Ansari, M Danish, A Khatoon, RAK Rao, S Zaidi, RA Aftab
Separation and Purification Technology 292, 2022
462022
Approximate explicit analytical expressions of friction factor for flow of Bingham fluids in smooth pipes using Adomian decomposition method
M Danish, S Kumar, S Kumar
Communications in Nonlinear Science and Numerical Simulation 16 (1), 239-251, 2011
462011
Support vector regression (SVR)-based adsorption model for Ni (II) ions removal
N Parveen, S Zaidi, M Danish
Groundwater for sustainable development 9, 100232, 2019
342019
Gas absorption with first order chemical reaction in a laminar falling film over a reacting solid wall
M Danish, RK Sharma, S Ali
Applied mathematical modelling 32 (6), 901-929, 2008
242008
Support Vector Regression Prediction and Analysis of the Copper (II) Biosorption Efficiency
N Parveen, S Zaidi, M Danish
Indian Chemical Engineer, 2017
232017
Comparative analysis for the prediction of boiling heat transfer coefficient of R134a in micro/mini channels using artificial intelligence (AI)-based techniques
N Parveen, S Zaidi, M Danish
International Journal of Modelling and Simulation 40 (2), 114-129, 2020
212020
Support vector regression-based model for phenol adsorption in rotating packed bed adsorber
RA Aftab, S Zaidi, M Danish, SM Adnan, KB Ansari, M Danish
Environmental Science and Pollution Research 30 (28), 71637-71648, 2023
162023
gPROMS-driven modeling and simulation of fixed bed adsorption of heavy metals on a biosorbent: benchmarking and case study
M Danish, KB Ansari, RA Aftab, M Danish, S Zaidi, QT Trinh
Environmental Science and Pollution Research, 1-16, 2021
162021
Modeling of flow boiling heat transfer coefficient of R11 in mini-channels using support vector machines and its comparative analysis with the existing correlations
N Parveen, S Zaidi, M Danish
Heat and Mass Transfer 55, 151-164, 2019
122019
OHAM solution of a singular BVP of reaction cum diffusion in a biocatalyst
M Danish, S Kumar, S Kumar
IAENG International Journal of Applied Mathematics 41 (3), 223-227, 2011
122011
Developing convective–dispersive transport model to characterize fixed-bed adsorption of lead (II) over activated tea waste biosorbent
M Danish, A Khursheed B., M Danish, NA Khan, RA Aftab, S Zaidi, ...
Biomass Conversion and Biorefinery, 1-15, 2022
112022
Optimal solution of MINLP problems using modified genetic algorithm
M Danish, S Kumar, A Qamareen, S Kumar
Chemical Product and Process Modeling 1 (1), 2006
112006
Exact analytical solution for the bed depth profile of solids flowing in a rotary kiln
M Danish, S Kumar, S Kumar
Powder technology 230, 29-35, 2012
102012
Support vector regression: A novel soft computing technique for predicting the removal of cadmium from wastewater
N Parveen, S Zaidi, M Danish
Indian Journal of Chemical Technology (IJCT) 27 (1), 43-50, 2020
92020
Artificial intelligence (AI)-based friction factor models for large piping networks
N Parveen, S Zaidi, M Danish
Chemical Engineering Communications 207 (2), 213-230, 2020
92020
Analytical Solution of the Reaction‐Diffusion Process in a Permeable Spherical Catalyst
M Danish, S Kumar, S Kumar
Chemical Engineering & Technology: Industrial Chemistry‐Plant Equipment …, 2010
92010
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