Iraqi Academic Scientific Journals

Using of an Artificial Neural Networks with Particle Swarm Optimization (ANN-PSO) Model in Prediction of Cost and Delay in Construction Projects

Mohammed H. Ali, Abbas M. Abd

DIYALA JOURNAL OF ENGINEERING SCIENCES, 2021, Volume 14, Issue 3, Pages 78-93

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Building Information Modeling (BIM) as Economical and Properties Assessment Tool for Building Units Alternatives Made with Lightweight Foamed Concrete

Abbas M. Abd, Dunya S. Jarullah

DIYALA JOURNAL OF ENGINEERING SCIENCES, 2018, Volume 11, Issue 2, Pages 33-41

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Development BIM Model to Manage the Demolition Waste in Iraqi Construction Projects

Balqees M. Nsaif, Abbas M. Abd, Ali H. Hameed

DIYALA JOURNAL OF ENGINEERING SCIENCES, 2020, Volume 13, Issue 2, Pages 93-98

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Adopting BIM at Design Phase for Structural Buildings

Assala S. Hadi, Abbas M. Abd, Mohammed Mahmood

DIYALA JOURNAL OF ENGINEERING SCIENCES, 2021, Volume 14, Issue 3, Pages 23-35

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ARTIFICIAL NEURAL NETWORK MODEL FOR MANAGING AND FORECASTING WATER RESERVOIR DISCHARGE (HEMREN RESERVOIR AS A CASE STUDY)

ABBAS M. ABD, SAAD SH. SAMMEN

DIYALA JOURNAL OF ENGINEERING SCIENCES, 2014, Volume 7, Issue 4, Pages 132-143

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SUPPORT VECTOR MACHINE (SVM) FOR MODELLING THE STRENGTH OF LIGHTWEIGHT FOAMED CONCRETE

Suhad M. Abd, Abbas M. Abd

DIYALA JOURNAL OF ENGINEERING SCIENCES, 2015, Volume 8, Issue 4, Pages 29-36

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ANN AND STATISTICAL MODELLING TO PREDICT THE DEFLECTION OF CONTINUOUS REINFORCED CONCRETE DEEP BEAMS

Abbas M Abd, Wissam D Salman, Qusay W. Ahmed

DIYALA JOURNAL OF ENGINEERING SCIENCES, 2015, Volume 8, Issue 4, Pages 134-143

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Using of an Artificial Neural Networks with Particle Swarm Optimization (ANN-PSO) Model in Prediction of Cost and Delay in Construction Projects

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Building Information Modeling (BIM) as Economical and Properties Assessment Tool for Building Units Alternatives Made with Lightweight Foamed Concrete

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Development BIM Model to Manage the Demolition Waste in Iraqi Construction Projects

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Adopting BIM at Design Phase for Structural Buildings

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ARTIFICIAL NEURAL NETWORK MODEL FOR MANAGING AND FORECASTING WATER RESERVOIR DISCHARGE (HEMREN RESERVOIR AS A CASE STUDY)

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SUPPORT VECTOR MACHINE (SVM) FOR MODELLING THE STRENGTH OF LIGHTWEIGHT FOAMED CONCRETE

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ANN AND STATISTICAL MODELLING TO PREDICT THE DEFLECTION OF CONTINUOUS REINFORCED CONCRETE DEEP BEAMS

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