Construction Cost Forecasting Using by Dehghan Shahide (9 results)
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Seller: California Books, Miami, FL, U.S.A.California Books
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Seller: Books Puddle, Woodside, NY, U.S.A.Books Puddle
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Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Construction Cost Forecasting Using Machine Learning | Shahide Dehghan (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208064006 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …
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Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Language: English
Published by LAP LAMBERT Academic Publishing Jul 2025, 2025
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 64 pp. Englisch.
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Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Language: English
Published by LAP LAMBERT Academic Publishing Jul 2025, 2025
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Construction project control is one of the important issues that is of great importance in the construction industry. Issues such as planning, scheduling, resource management, cost control, risk management, communication and change management are of great importance during the implementation of construction projects. This book examines the use of machine learning algorithms and models to predict the time and costs related to the completion of construction projects. Based on the available data from past projects, these methods examine various factors such as project dimensions, type of work, environmental conditions, etc. and use machine learning algorithms to create a model to predict the time and cost of completing future projects. These methods can help improve the efficiency and productivity in completing construction projects and reduce costs and increase the profitability of projects. Providing accurate cost estimates in construction projects is a difficult task because construction projects are subject to numerous risks and uncertainties. This is especially exacerbated during the project planning stage when sufficient data and information about the projects.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch. …
