S. Zaidi

发表

A review of the feedstocks, catalysts, and intensification techniques for sustainable biodiesel production

Moina Athar, S. Zaidi, 2020 .

Novel application of support vector machines to model the two phase boiling heat transfer coefficient in a vertical tube thermosiphon reboiler

S. Zaidi, 2015 .

Comparative analysis for the prediction of boiling heat transfer coefficient of R134a in micro/mini channels using artificial intelligence (AI)-based techniques

S. Zaidi, M. Danish, N. Parveen, 2020, International Journal of Modelling and Simulation.

Development of support vector regression (SVR)-based model for prediction of circulation rate in a vertical tube thermosiphon reboiler

S. Zaidi, 2012 .

Support vector regression model for predicting the sorption capacity of lead (II)

S. Zaidi, M. Danish, N. Parveen, 2016 .

Support Vector Regression Prediction and Analysis of the Copper (II) Biosorption Efficiency

S. Zaidi, M. Danish, N. Parveen, 2017 .

Development of SVR-based model and comparative analysis with MLR and ANN models for predicting the sorption capacity of Cr(VI)

S. Zaidi, M. Danish, N. Parveen, 2017 .

A novel support vector regression (SVR) model for the prediction of splice strength of the unconfined beam specimens

S. Zaidi, P. Bhargava, Mohammad S Ahmad, 2020 .

An Improved Restarted Adomian-based Solution for the Minimum Reflux Ratio of Multicomponent Distillation Columns

S. Zaidi, M. Danish, M. Mubashshir, 2018 .

Development and Analyses of Artificial Intelligence (AI)-Based Models for the Flow Boiling Heat Transfer Coefficient of R600a in a Mini-Channel

S. Zaidi, M. Danish, N. Parveen, 2018, ChemEngineering.

Modeling of flow boiling heat transfer coefficient of R11 in mini-channels using support vector machines and its comparative analysis with the existing correlations

S. Zaidi, M. Danish, N. Parveen, 2018, Heat and Mass Transfer.

Biodiesel production by single-step acid-catalysed transesterification of Jatropha oil under microwave heating with modelling and optimisation using response surface methodology

S. Chelliapan, M. Yusuf, Moina Athar, 2022, Fuel.

Development and analyses of data-driven models for predicting the bed depth profile of solids flowing in a rotary kiln

S. Zaidi, M. Danish, N. Parveen, 2020 .

A comprehensive investigation of external mass transfer and intraparticle diffusion for batch and continuous adsorption of heavy metals using pore volume and surface diffusion model

Khursheed B. Ansari, S. Zaidi, M. Danish, 2022, Separation and Purification Technology.

Developing convective–dispersive transport model to characterize fixed-bed adsorption of lead (II) over activated tea waste biosorbent

Muhammad Abdul Qyyum, Khursheed B. Ansari, A. Nizami, 2022, Biomass Conversion and Biorefinery.

gPROMS-driven modeling and simulation of fixed bed adsorption of heavy metals on a biosorbent: benchmarking and case study

Khursheed B. Ansari, S. Zaidi, M. Danish, 2021, Environmental Science and Pollution Research.

Novel Machine Learning (ML) Models for Predicting the Performance of Multi-Metal Binding Green Adsorbent for the Removal of Cd (II), Cu (II), Pb (II) and Zn (II) ions

Khursheed B. Ansari, S. Zaidi, M. Danish, 2022, Environmental Advances.

Modeling of flow boiling heat transfer coefficient of R11 in mini-channels using support vector machines and its comparative analysis with the existing correlations

S. Zaidi, M. Danish, N. Parveen, 2018, Heat and Mass Transfer.

Zeolites as Inorganic Ion Exchangers for Environmental Applications: An Overview

S. Zaidi, 2012 .

Removal of congo red from water by adsorption onto activated carbon derived from waste black cardamom peels and machine learning modeling

Abdullah M. Asiri, S. Zaidi, A. Asiri, 2023, Alexandria Engineering Journal.

Support vector regression-based model for phenol adsorption in rotating packed bed adsorber

Khursheed B. Ansari, S. Zaidi, M. Danish, 2021, Environmental Science and Pollution Research.

Review of past research and proposed action plan for landfill gas-to-energy applications in India

Sadaf Zaidi, Faisal Zia Siddiqui, Suneel Pandey, 2013, Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA.

Artificial intelligence (AI)-based friction factor models for large piping networks

Mohammad Danish, Sadaf Zaidi, Nusrat Parveen, 2020, Chemical Engineering Communications.

Biodiesel Production Technologies

Moina Athar, S. Zaidi, 2021, Biodiesel Technology and Applications.

Support vector regression-based model for phenol adsorption in rotating packed bed adsorber

Khursheed B. Ansari, S. Zaidi, M. Danish, 2021, Environmental Science and Pollution Research.

Support vector regression (SVR)-based adsorption model for Ni (II) ions removal

S. Zaidi, M. Danish, N. Parveen, 2019, Groundwater for Sustainable Development.

Herbal medicinal waste black cardamom (Amomum subulatum) as a novel adsorbent for removing Cd (II) from water

S. Zaidi, R. Rao, M. Danish, 2023, International Journal of Environmental Science and Technology.

Pore volume and surface diffusion model to characterize batch adsorption of Cu(II) over chemically modified Cucurbita moschata biosorbent: simulation using gPROMS

S. Zaidi, M. Danish, M. Danish, 2022, Journal of Water Supply: Research and Technology. Aqua.

Machine Learning Models for Efficient Adsorption of Congo Red Dye on High-Performance Polyethyleneimine Macroporous Sponge

S. Zaidi, R. A. Aftab, K. B. Ansari, 2023, Arabian Journal for Science and Engineering.

Response surface optimization and support vector regression modeling of microwave-assisted essential oil extraction from cumin seeds

S. Zaidi, H. Kamyab, Fazil Qureshi, 2024, Industrial Crops and Products.