A comparative data mining approach for the prediction of energy recovery potential from various municipal solid waste

M Bagheri, R Esfilar, MS Golchi, CA Kennedy - Renewable and Sustainable …, 2019 - Elsevier
Abstract Knowledge of higher heating value (HHV) is critically important in the techno-
economic analysis and optimal performance of thermal waste-to-energy (WTE) systems. In …

Multiple random forests modelling for urban water consumption forecasting

G Chen, T Long, J Xiong, Y Bai - Water Resources Management, 2017 - Springer
The precise forecasting of water consumption is the basis in water resources planning and
management. However, predicting water consumption fluctuations is complicated, given …

Entropy of gaseous phosphorus dimer

CS Jia, R Zeng, XL Peng, LH Zhang, YL Zhao - Chemical Engineering …, 2018 - Elsevier
Based on the improved Rosen-Morse oscillator for describing the internal vibration of a
molecule, we establish an explicit representation of molar entropy for gaseous substances …

Strategies to develop robust neural network models: Prediction of flash point as a case study

A Alibakshi - Analytica chimica acta, 2018 - Elsevier
Artificial neural network (ANN) is one of the most widely used methods to develop accurate
predictive models based on artificial intelligence and machine learning. In the present study …

Estimation of flash point and autoignition temperature of organic sulfur chemicals

M Bagheri, TNG Borhani, G Zahedi - Energy Conversion and Management, 2012 - Elsevier
The combustible nature of organic sulfur containing chemicals demands an accurate
hazardous knowledge for their safe handling and application in industries and researches …

Predicting the amino group pKa of amino acids using machine learning-QSPR methods

MR Rafieezade, A Fazeli - Journal of Molecular Liquids, 2024 - Elsevier
Amino acids are one of the main building blocks of proteins, and because of this connection
and their main role in biochemistry, they are of great interest in pharmaceutical industries …

Simple yet accurate prediction method for sublimation enthalpies of organic contaminants using their molecular structure

M Bagheri, M Bagheri, AH Gandomi, A Golbraikh - Thermochimica acta, 2012 - Elsevier
The objective of this study is to provide a simple yet accurate theoretical strategy for the
prediction of the sublimation enthalpy of wide range organic contaminants only from their 3D …

A structure–activity relationship survey of histone deacetylase (HDAC) inhibitors

AH Bozorgi, M Bagheri, R Aslebagh… - … and Intelligent Laboratory …, 2013 - Elsevier
Histone deacetylase inhibitors have gained a great deal of attention recently for the
treatment of cancers and inflammatory diseases. So design of new inhibitors is of great …

Predicting pKa of the carboxylic acid group in water solutions of amino acids based on molecular structures using machine learning QSPR methods

A Fazeli, M Karimzadeh - Materials Today Communications, 2023 - Elsevier
Amino acids as biomolecules are essential building blocks of proteins, which are
fundamental to life and living organisms. The pKa values of amino acid residues in proteins …

BPSO-MLR and ANFIS based modeling of lower flammability limit

M Bagheri, M Rajabi, M Mirbagheri, M Amin - Journal of Loss Prevention in …, 2012 - Elsevier
Computer-aided molecular design (CAMD) is a methodology that has been researched
recently for designing materials with required target properties and can be well applied for …