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Forecasting municipal solid waste generation using artificial intelligence modelling approaches
Forecasting municipal solid waste generation using artificial intelligence modelling approaches
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Forecasting municipal solid waste generation using artificial intelligence modelling approaches

Abbasi, Maryam ; El Hanandeh, Ali

Waste management (Elmsford), 2016-10, Vol.56, p.13-22 [Periódico revisado por pares]

United States: Elsevier Ltd

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2
A Predictive Analytics Model for Students Grade Prediction by Supervised Machine Learning
A Predictive Analytics Model for Students Grade Prediction by Supervised Machine Learning
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A Predictive Analytics Model for Students Grade Prediction by Supervised Machine Learning

Abdul Bujang, Siti Dianah ; Selamat, Ali ; Krejcar, Ondrej

IOP conference series. Materials Science and Engineering, 2021-02, Vol.1051 (1), p.12005 [Periódico revisado por pares]

Bristol: IOP Publishing

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3
Predict the required cost to develop Software Engineering projects by Using Machine Learning
Predict the required cost to develop Software Engineering projects by Using Machine Learning
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Predict the required cost to develop Software Engineering projects by Using Machine Learning

Abdulmajeed, Ashraf Abdulmunim ; Al-Jawaherry, Marwa Adeeb ; Tawfeeq, Tawfeeq Mokdad

Journal of physics. Conference series, 2021-05, Vol.1897 (1), p.12029 [Periódico revisado por pares]

Bristol: IOP Publishing

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4
Evolving a prediction model based on machine learning approach for hydrogen sulfide removal from sour condensate of south pars natural gas processing plant
Evolving a prediction model based on machine learning approach for hydrogen sulfide removal from sour condensate of south pars natural gas processing plant
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Evolving a prediction model based on machine learning approach for hydrogen sulfide removal from sour condensate of south pars natural gas processing plant

Adib, Hooman ; Sabet, Askar ; Naderifar, Abbas ; Adib, Marjan ; Ebrahimzadeh, Massoud

Journal of natural gas science and engineering, 2015-11, Vol.27, p.74-81

Elsevier B.V

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5
Multi-method approach to wellness predictive modeling
Multi-method approach to wellness predictive modeling
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Multi-method approach to wellness predictive modeling

Agarwal, Ankur ; Baechle, Christopher ; Behara, Ravi S. ; Rao, Vinaya

Journal of big data, 2016-08, Vol.3 (1), p.1-23, Article 15 [Periódico revisado por pares]

Cham: Springer International Publishing

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6
Learning and non-learning algorithms for cuffless blood pressure measurement: a review
Learning and non-learning algorithms for cuffless blood pressure measurement: a review
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Learning and non-learning algorithms for cuffless blood pressure measurement: a review

Agham, Nishigandha Dnyaneshwar ; Chaskar, Uttam M.

Medical & biological engineering & computing, 2021-06, Vol.59 (6), p.1201-1222 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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7
Predictive modelling for solar thermal energy systems: A comparison of support vector regression, random forest, extra trees and regression trees
Predictive modelling for solar thermal energy systems: A comparison of support vector regression, random forest, extra trees and regression trees
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Predictive modelling for solar thermal energy systems: A comparison of support vector regression, random forest, extra trees and regression trees

Ahmad, Muhammad Waseem ; Reynolds, Jonathan ; Rezgui, Yacine

Journal of cleaner production, 2018-12, Vol.203, p.810-821 [Periódico revisado por pares]

Elsevier Ltd

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8
Potential of three variant machine-learning models for forecasting district level medium-term and long-term energy demand in smart grid environment
Potential of three variant machine-learning models for forecasting district level medium-term and long-term energy demand in smart grid environment
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Potential of three variant machine-learning models for forecasting district level medium-term and long-term energy demand in smart grid environment

Ahmad, Tanveer ; Chen, Huanxin

Energy (Oxford), 2018-10, Vol.160, p.1008-1020 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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9
A comprehensive overview on the data driven and large scale based approaches for forecasting of building energy demand: A review
A comprehensive overview on the data driven and large scale based approaches for forecasting of building energy demand: A review
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A comprehensive overview on the data driven and large scale based approaches for forecasting of building energy demand: A review

Ahmad, Tanveer ; Chen, Huanxin ; Guo, Yabin ; Wang, Jiangyu

Energy and buildings, 2018-04, Vol.165, p.301-320 [Periódico revisado por pares]

Lausanne: Elsevier B.V

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10
The Impact of Software Fault Prediction in Real-World Application: An Automated Approach for Software Engineering
The Impact of Software Fault Prediction in Real-World Application: An Automated Approach for Software Engineering
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The Impact of Software Fault Prediction in Real-World Application: An Automated Approach for Software Engineering

Ahmed, Md. Razu ; Ali, Md. Asraf ; Ahmed, Nasim ; Zamal, Md. Fahad Bin ; Shamrat, F.M. Javed Mehedi

Proceedings of 2020 the 6th International Conference on Computing and Data Engineering, 2020, p.247-251

New York, NY, USA: ACM

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