most citedApplying ANN, ANFIS, and LSSVM Models for Estimation of Acid Solvent Solubility in Supercritical CO

25 citations · 41 across the 3 of their papers we have counts for

collaborators

5 papers

econ.GN202016 cited

Modelling Temperature Variation of Mushroom Growing Hall Using Artificial Neural Networks

Sina Ardabili, Amir Mosavi, Asghar Mahmoudi +3

The recent developments of computer and electronic systems have made the use of intelligent systems for the automation of agricultural industries. In this study, the temperature va…

eess.SP2020

Intelligent Road Inspection with Advanced Machine Learning; Hybrid Prediction Models for Smart Mobility and Transportation Maintenance Systems

Nader Karballaeezadeh, Farah Zaremotekhases, Shahaboddin Shamshirband +4

Prediction models in mobility and transportation maintenance systems have been dramatically improved through using machine learning methods. This paper proposes novel machine learn…

physics.chem-ph201925 cited

Applying ANN, ANFIS, and LSSVM Models for Estimation of Acid Solvent Solubility in Supercritical CO

Amin Bemani, Alireza Baghban, Shahaboddin Shamshirband +3

In the present work, a novel and the robust computational investigation is carried out to estimate solubility of different acids in supercritical carbon dioxide. Four different alg…

cs.IR2019

Performance Evaluation of Supervised Machine Learning Techniques for Efficient Detection of Emotions from Online Content

Muhammad Zubair Asghar, Fazli Subhan, Muhammad Imran +5

Emotion detection from the text is an important and challenging problem in text analytics. The opinion-mining experts are focusing on the development of emotion detection applicati…

physics.ao-ph2019

Modeling Daily Pan Evaporation in Humid Climates Using Gaussian Process Regression

Sevda Shabani, Saeed Samadianfard, Mohammad Taghi Sattari +4

Evaporation is one of the main processes in the hydrological cycle, and it is one of the most critical factors in agricultural, hydrological, and meteorological studies. Due to the…