Machine learning for weekly work plan generation and enhanced constraint predication in last planner system (Softcopy is also available) (Record no. 72549)
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000 -LEADER | |
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fixed length control field | 02550nam a2200181Ia 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 240906s9999 xx 000 0 und d |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | CEM TH-0457 |
Item number | GAN |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Gandhi, Jaivik (PCM22145) |
245 #0 - TITLE STATEMENT | |
Title | Machine learning for weekly work plan generation and enhanced constraint predication in last planner system (Softcopy is also available) |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Date of publication, distribution, etc | 2024 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | xviii,98p. |
505 ## - FORMATTED CONTENTS NOTE | |
Formatted contents note | Abstract I<br/>Undertaking Iii<br/>Certificate V<br/>Acknowledgements Vii<br/>Abbreviations Ix<br/>Table Of Contents Xi<br/>List Of Figures Xiii<br/>List Of Tables Xv<br/>List Of Appendix Xvii<br/>Chapter-1: Introduction 1<br/>1.1 Need For The Study 1<br/>Chapter-2: Literature Review 3<br/>2.1.1 Lean Construction 3<br/>2.1.2 Last Planner System 4<br/>2.1.3 Machine Learning And Lean Construction 5<br/>2.1.4 Application Of Ml In Construction Industry 6<br/>2.1.5 Analysis Of Algorithms In Machine Learning 8<br/>2.1.6 Synthetic Data 9<br/>2.2 Previous Study 11<br/>2.3 Aims And Objectives 11<br/>2.4 Research Methodology For Research 12<br/>Chapter-3: Research Methodology 15<br/>3.1 Analysis Of The Research Methodology 15<br/>3.1.1 Literature Review 16<br/>3.1.2 Current Practices In Lps, Machine Learning And Synthetic Data Generation 16<br/>3.1.3 Data Collection 17<br/>3.1.4 Feature Selection 17<br/>3.1.5 Label Encoding 17<br/>3.1.6 Model For Synthetic Data Generation 17<br/>3.1.7 Developing The Prediction Model 18<br/>Chapter-4: Data Collection 19<br/>4.1 Data Of Super-Speciality Healthcare Project 19<br/>4.2 Constraint Log 19<br/>4.3 Constraints Analysis 20<br/>4.4 Data Collection Summary 21<br/>Chapter-5: Data Analysis 23<br/>5.1 Synthetic Data Generation 23<br/>5.2 Methods Used To Generate The Data 23<br/>5.2.1 Gretel.Ai 23<br/>5.2.2 Mostly.Ai 25<br/>5.2.3 Github (Synthetic Data Vault) 26 <br/>5.3 Synthetic Data Generation For Single Activity 26<br/>5.3.1 Development Of The Code For One Activity 27<br/>5.3.2 Final Code For All Activities 30<br/>5.4 Ml Model Preparation For Prediction 33<br/>5.4.1 Importing Various Library 33<br/>5.4.2 Files In Google Drive 34<br/>5.4.3 Training The Model 35<br/>5.5 Ml Model 1(Sgd) 37<br/>5.5.1 Output Of The Model 38<br/>5.5.2 Hyperparameter Tuning 38<br/>5.6 Testing The Model 39<br/>5.6.1 Final Output 40<br/>5.7 Ml Model 2(Multiout Regressor) 45<br/>5.7.1 Output Of The Model 47<br/>Chapter-6: Conclusion 51<br/>6.1 Future Scope 53<br/>References 55<br/>Appendix 61<br/> |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Devkar, Ganesh (Guide) |
890 ## - Country | |
Country | India |
891 ## - Topic | |
Topic | 2022 Batch |
891 ## - Topic | |
Topic | Construction engineering and Management |
891 ## - Topic | |
Topic | FT-PG |
Withdrawn status | Lost status | Damaged status | Not for loan | Collection code | Withdrawn status | Home library | Current library | Date acquired | Source of acquisition | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
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Not For Loan | Faculty of Technology | CEPT Library | CEPT Library | 06/09/2024 | Faculty of Technology | CEM TH-0457 GAN | 026666 | 06/09/2024 | 06/09/2024 | Thesis |