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75 Years of the Indian National Sample Survey : Evolution of Sample Design, Key Challenges and Way Forward / / by G C Manna
| 75 Years of the Indian National Sample Survey : Evolution of Sample Design, Key Challenges and Way Forward / / by G C Manna |
| Autore | Manna G. C |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (313 pages) |
| Disciplina | 331 |
| Collana | India Studies in Business and Economics |
| Soggetto topico |
Labor economics
Population - Economic aspects Economics - Computer programs Development economics Sampling (Statistics) Experimental design Social sciences - Statistical methods Labor and Population Economics Computational Economics Development Economics Survey Methodology Design of Experiments Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy |
| ISBN | 981-9673-20-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction and history of formation of the NSS -- Chapter 2. Salient features of the NSS -- Chapter 3. Sample designs adopted in the NSS over its 75 years of operation -- Chapter 4. Major changes in sample design over the 75 years of functioning of the NSS -- Chapter 5. Three pilot surveys conducted by NSS -- Chapter 6. Discussion on global survey practices. Chapter 7. Derivation of NSS design-based estimates of aggregates and ratios -- Chapter 8. Level of precision of key estimates as per the NSS -- Chapter 9. Strengthening the NSS database. |
| Record Nr. | UNINA-9911010527803321 |
Manna G. C
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Biostatistics in Biopharmaceutical Research and Development : Clinical Trial Design, Volume 1 / / edited by Ding-Geng Chen
| Biostatistics in Biopharmaceutical Research and Development : Clinical Trial Design, Volume 1 / / edited by Ding-Geng Chen |
| Autore | Chen Ding-Geng |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (355 pages) |
| Disciplina | 570.15195 |
| Collana | Medicine Series |
| Soggetto topico |
Biometry
Clinical medicine - Research Public health Sampling (Statistics) Data mining Biostatistics Clinical Research Public Health Survey Methodology Data Mining and Knowledge Discovery |
| ISBN |
9783031659485
9783031659478 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Bias and Randomization in Clinical Trials: 1980s – 2020s – 2060s -- The Markov Model for Survival Trials at 35 Years-Old -- Absolute Power Corrupts Absolutely: A Review of the Use of Unconditional Probabilities in the Planning of Clinical Trials -- Design of Clinical Trials with the Desirability of Outcome Ranking Methodology -- Benefit:Risk Assessments during Clinical Trials: A Prediction Approach Using the Desirability of Outcome Ranking (DOOR) -- The Power of Integration: How the 2-in-1 Clinical Trial Design is Changing the Future of Drug Development -- A Unified Bayesian Decision Rule-Based Approach for Bayesian Design of Clinical Trials Using Historical Data -- Group Sequential Design Under Non-proportional Hazards: Methodologies and Examples -- Multiple Testing in Group Sequential Design -- Plan per-protocol (PP) causal inference analysis addressing intercurrent events following the targeted learning roadmap -- Maximum Tolerated Imbalance Randomization: Theory and Practice -- Response-adaptive randomization designs based on optimal allocation proportion. |
| Record Nr. | UNINA-9910919814303321 |
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Chen Ding-Geng
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Biostatistics in Biopharmaceutical Research and Development : Clinical Trial Analysis, Volume 2 / / edited by Ding-Geng Chen
| Biostatistics in Biopharmaceutical Research and Development : Clinical Trial Analysis, Volume 2 / / edited by Ding-Geng Chen |
| Autore | Chen Ding-Geng |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (522 pages) |
| Disciplina | 519.5 |
| Collana | Medicine Series |
| Soggetto topico |
Statistics
Biometry Clinical medicine - Research Sampling (Statistics) Public health Biostatistics Clinical Research Methodology of Data Collection and Processing Survey Methodology Public Health |
| ISBN |
9783031659379
9783031659362 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Statistical Challenges in the Analysis of Biomarker Data -- 2. Evaluating Predictive Accuracy of Prognostic Model for Censored Time-to-Event Data Analysis in Clinical Trials -- Statistical Methods for Accommodating Immortal Time: A Selective Review and Comparison -- Variable selection for partially functional additive Cox Model with interval-censored failure time data -- A Bayesian proportional hazards model to predict patient recruitment in multicenter clinical trials -- GET MORE INFORMATION FROM RECURRENT EVENTS DATA -- Introduction to Patient Preference Studies -- Machine Learning for Precision Medicine and Humanized AI for Future Healthcare -- The Statistical Evaluation of Surrogate Endpoints in Clinical Trials -- Treatment Effect Estimation Using Data from Observational and Non-Randomized Studies -- Methods for Comparing Two Treatments for a Dichotomous Outcome for a Two-Period Design with Treatment Switching of Control Group Period 1 Non-Responders -- Regression-based estimation of optimal adaptive treatment strategies: Key methods -- Vaccine Disease-Prevention Efficacy Studies: Traditional Approaches and New Frontiers -- Covariate Adjustment in Analyzing Randomized Clinical Trials: Approaches, Software, and Application -- Joint correlated responses and feedback effect with time-dependent covariates -- Distributions and Their Approximations for P-Values. |
| Record Nr. | UNINA-9910919809503321 |
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Chen Ding-Geng
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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How Data Quality Affects our Understanding of the Earnings Distribution / / by Reza Che Daniels
| How Data Quality Affects our Understanding of the Earnings Distribution / / by Reza Che Daniels |
| Autore | Daniels Reza C |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | 2022 |
| Descrizione fisica | 1 online resource (xx, 114 pages) : illustrations (some color) |
| Disciplina | 519.5 |
| Soggetto topico |
Statistics
Sampling (Statistics) Quantitative research Statistical Theory and Methods Survey Methodology Data Analysis and Big Data Methodology of Data Collection and Processing African Economics African History |
| ISBN | 981-19-3639-0 |
| Classificazione | BUS069000HIS001000MAT029000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- A Framework for Investigating Micro Data Quality, with Application to South African Labour Market Household Surveys -- Questionnaire Design and Response Propensities for Labour Income Micro Data -- Univariate Multiple Imputation for Coarse Employee Income Data -- Conclusion: How Data Quality Affects our Understanding of the Earnings Distribution. |
| Record Nr. | UNINA-9910580174103321 |
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Daniels Reza C
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| 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Quantitative Psychology : The 88th Annual Meeting of the Psychometric Society, Maryland, USA, 2023 / / by Marie Wiberg, Jee-Seon Kim ; edited by Heungsun Hwang, Hao Wu, Tracy Sweet
| Quantitative Psychology : The 88th Annual Meeting of the Psychometric Society, Maryland, USA, 2023 / / by Marie Wiberg, Jee-Seon Kim ; edited by Heungsun Hwang, Hao Wu, Tracy Sweet |
| Autore | Wiberg Marie |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (385 pages) |
| Disciplina | 519.5 |
| Altri autori (Persone) |
KimJee-Seon
HwangHeungsun WuHao SweetTracy |
| Collana | Springer Proceedings in Mathematics & Statistics |
| Soggetto topico |
Statistics
Social sciences - Statistical methods Sampling (Statistics) Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Survey Methodology Psicometria |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 9783031555480 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Repeated measurement analysis for non-linear data in small samples -- Chapter 2. Examining the Measurement Invariance of the Chinese Short Grit Scale -- Chapter 3. Data Preprocessing Techniques using Machine Learning Algorithms in Large-scale Assessment -- Chapter 4. A two-stage approach to a latent variable mixed-effects location scale model -- Chapter 5. Sparse Bayesian joint modal estimation for item factor analysis -- Chapter 6. Investigating the impact of equating on measurement error using generalizability theory -- Chapter 7. Method Effects of Item Wording: MIRT Estimation Based on Equivalence Method -- Chapter 8. Item Response Theory Modeling with Response Times: Some Issue -- Chapter 9. Validity evidence for the Teach ECE classroom observation tool -- Chapter 10. Application of topic modeling techniques in meta-analysis studies -- Chapter 11. Validation of the Household Food Security Survey Module (HFSSM) using Factor Analysis and Rasch Modeling -- Chapter 12. Testing CDM local independence assumptions using nested model selection criteria -- Chapter 13. The Impact of Generating Model on Pre-knowledge Detection in CAT -- Chapter 14. Exploring Attenuation of Reliability in Categorical Subscore Reporting -- Chapter 15. Diagnosing skills and misconceptions with Bayesian Networks applied to diagnostic multiple-choice tests -- Chapter 16. Investigating variable selection techniques under missing data: a simulation study -- Chapter 17. Optimal Implementation of Propensity-Score Matching Methods: A Monte Carlo Study on Estimating Binary Treatment Effects on Binary Outcomes -- Chapter 18. Using machine/deep learning algorithms for the fixed effect prediction in non-linear Mixed Effects Models - the mixedML framework -- Chapter 19. Psychometric evaluation of Positive and Negative Symptom Scale (PANSS): Harmonizing Classical Item Response Theory with the Perspective from Network Approach -- Chapter 20. Fitting IRT Diffusion Model to complex cognition response times -- Chapter 21. Empirical evaluations for DIF detection methods -- Chapter 22. Fisher Information-Based Difficulty and Discrimination Measures in Binary IRT -- Chapter 23. Empirical comparisons among models in detecting extreme response styles -- Chapter 24. A Hierarchical Prior for Bayesian Variable Selection in Regression Model -- Chapter 25. Comparing Different Correlation Test Methods -- Chapter 26. Priors in Bayesian Estimation under the Graded Response Model -- Chapter 27. Information matrix test misspecification assessment in cognitive diagnostic models -- Chapter 28. Impact of Ignoring Rater Effects in Objective Structured Clinical Examinations -- Chapter 29. The Gumbel-Reverse Gumbel (GRG) Model for Binary Data: A New Asymmetric Item Response Model -- Chapter 30. Nonparametric estimation of the risk and odds ratio in rare events meta analysis with arm based and contrast based approaches -- Chapter 31. Differential Step Functioning with Scale Purification for Polytomous Items -- Chapter 32. Comparing maximum likelihood and MCMC estimation of the multivariate social relations model -- Chapter 33. Using Mantel-Haenszel for Detecting Testlet Effects: Testing it All at Once -- Chapter 34. Identifiability Conditions in Cognitive Diagnosis:Implications for Q-Matrix Estimation Algorithms -- Chapter 35. Psychometric Perspectives on Modeling and Assessing Synergies -- Chapter 36. Global validity of assessments: Location and currency -- Chapter 37. Gaussian graphical model for evaluating local item dependency in response times -- Chapter 38. Assessment Engineering Meets Generative AI: Unlocking New Opportunities for Digital Assessment -- Chapter 39. Bayesian Mixture Multilevel Vector Autoregressive (B-MMVAR) Modeling -- Chapter 40. Enhancing Learning and Assessment: Exploring the Potential of Performance Factor Analysis in attribute-oriented performance and difficulty parameters estimation -- Chapter 41. DIF Detection in a Response Time Measure: An LRT Method -- Chapter42. Nonparametric Estimation of CATE with Cluster-Robust Confidence Bands -- Chapter 43. A Causal Mediation Framework for Investigating Treatment Effects in Longitudinal Studies -- Chapter 44. Are we playing the same game: Translating fairness content -- Chapter 45. Revisiting the 1PL-AG item response model: Bayesian estimation and application -- Chapter 46. Maximum Likelihood Estimation using a Possibly Misspecified Parameter Redundant Model -- Chapter 47. Comparing non-parametric estimations of treatment effect heterogeneity in the context of clustered data -- Chapter 48. Extreme and Midpoint Response Styles: Two Sides of the Same Coin?- Chapter 49. A family of discrete kernels for presmoothing -- Chapter 50. The deconstruction of measurement invariance (and DIF) -- Chapter 51. Efficient additive Gaussian process models for large-scale balanced multi-level data -- Chapter 52. An Investigation of Missing Data Analytical Methods in Longitudinal Research: Traditional and Machine Learning Approaches -- Chapter 53. Test Analysis Method using Piecewise Linear ICCs -- Chapter 54. Relationship among measurement invariance, differential item functioning andmean comparison -- Chapter 55. Generative Distractor Modeling with Generative AI -- Chapter 56. Q-matrix identification using text classification -- Chapter 57. The Nonparametric Item Selection Method for Multiple-Choice Items in CD-CAT. |
| Record Nr. | UNINA-9910866574403321 |
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Wiberg Marie
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Randomized Response Techniques : Certain Thought-Provoking Aspects / / by Arijit Chaudhuri, Sanghamitra Pal, Dipika Patra
| Randomized Response Techniques : Certain Thought-Provoking Aspects / / by Arijit Chaudhuri, Sanghamitra Pal, Dipika Patra |
| Autore | Chaudhuri Arijit <1940-> |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (xviii, 190 pages) : illustrations |
| Disciplina | 635 |
| Soggetto topico |
Sampling (Statistics)
Computer science - Mathematics Mathematical statistics Data protection Survey Methodology Probability and Statistics in Computer Science Data and Information Security |
| ISBN |
9789819996698
9819996694 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Genesis, background and the need for Randomized Response Techniques (RRT) -- Reviews of background material on RRT -- How to use Randomized Response survey data obtained by a specific procedure to judge its efficiency relative to a possible rival -- Fixing the size of a varying probability sample in a Direct and a Randomized Response survey -- Likelihood approach and its ramifications -- Optional Randomized Response Technique (ORRT) -- Protection of Privacy -- Variation from classical data generating procedures by repeated drawing -- Other Topics beyond Chaudhuri (2011) and Chaudhuri and Christofides (2013) -- Topics covered in the literature subsequent to Chaudhuri (2011) -- Alternatives to RRT in studying sensitive and stigmatizing issues -- An epilogue. |
| Record Nr. | UNINA-9910847073403321 |
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Chaudhuri Arijit <1940->
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sampling Designs Dependent on Sample Parameters of Auxiliary Variables / / by Janusz L. Wywiał
| Sampling Designs Dependent on Sample Parameters of Auxiliary Variables / / by Janusz L. Wywiał |
| Autore | Wywiał Janusz |
| Edizione | [2nd ed. 2021.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (113 pages) |
| Disciplina | 519.52 |
| Collana | SpringerBriefs in Statistics |
| Soggetto topico |
Statistics
Sampling (Statistics) Social sciences - Statistical methods Statistical Theory and Methods Survey Methodology Methodology of Data Collection and Processing Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy |
| ISBN | 3-662-63413-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction and Basic Sampling Strategies -- Sampling Designs Dependent on Sample Moments of Auxiliary Variables -- Sampling Designs Based on Order Statistics of Auxiliary Variable -- Simulation Analysis of the Efficiency of the Strategies -- Sampling Designs dependent on a Continuous Auxiliary Variable. |
| Record Nr. | UNINA-9910495188603321 |
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Wywiał Janusz
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| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Trends on Construction in the Digital Era : Proceedings of ISIC 2022 / / edited by António Gomes Correia, Miguel Azenha, Paulo J. S. Cruz, Paulo Novais, Paulo Pereira
| Trends on Construction in the Digital Era : Proceedings of ISIC 2022 / / edited by António Gomes Correia, Miguel Azenha, Paulo J. S. Cruz, Paulo Novais, Paulo Pereira |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (556 pages) |
| Disciplina | 720 |
| Collana | Lecture Notes in Civil Engineering |
| Soggetto topico |
Buildings - Design and construction
Automatic control Robotics Automation Computational intelligence Artificial intelligence Sampling (Statistics) Building Construction and Design Control, Robotics, Automation Computational Intelligence Intelligence Infrastructure Survey Methodology |
| ISBN | 3-031-20241-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Organizing Committee -- Co-Organizing Committee -- National Technical Committee -- Technical Oversight Committee -- International Advisory Committee -- International Scientific Committee -- Contents -- Artificial Intelligence for Design and Built Environment -- A WGAN Approach to Synthetic TBM Data Generation -- 1 Introduction -- 2 (Deep) Generative Adversarial Network Architecture -- 2.1 Generative Adversarial Networks -- 2.2 Deep Convolutional Neural Network-Based GAN (DCGAN) -- 2.3 Optimization of GANs by Wasserstein Distance Minimization -- 3 Methods -- 3.1 Data Description and Pre-processing -- 3.2 WGAN Architecture and Training Process -- 3.3 Experimental Setup -- 3.4 Evaluation Methods -- 4 Results -- 4.1 Results of the Training Process -- 4.2 Demand for Conformity -- 4.3 Demand for Originality -- 5 Conclusions and Outlook -- References -- Digital Construction Strategy for Project Management Optimization in a Building Renovation Site: Machine Learning and Big Data Analysis -- 1 Introduction -- 2 State of the Art -- 2.1 Case Studies Analysis -- 3 Methodology -- 3.1 Lean Construction -- 3.2 Management of Cost, Time and Quality -- 3.3 Operational Aspects of Lean Construction Delivery -- 3.4 BIM-Based Real-Time Construction Management -- 4 Application Case -- 4.1 BIM-Based Digital Framework -- 5 Results and Discussions -- 6 Conclusions -- References -- Disruptive Innovation in AEC: The Case of Artificial Intelligence Applied to Project Management -- 1 Background -- 2 Sustaining Innovation vs Disruptive Innovation -- 3 The Case of Project Management and Artificial Intelligence -- 4 Case Study: Queensland Transport and Main Roads -- 5 A Path Towards Disruptive Innovation -- 6 Conclusion -- References.
Neural Network-Based Model to Predict Permanent Deformation Induced in the Subgrade by the Passage of the Trains -- 1 Introduction -- 2 Numerical Modelling -- 2.1 Short-Term Performance: Numerical Model of the Train-Track-Ground System -- 2.2 Long-Term Performance: Permanent Deformation Modelling -- 2.3 Case Study: Finite Element-Based Knowledge Database Development -- 3 Neural Network-Based on Permanent Deformation Response Predicted Models for Railway Structures -- 3.1 Neural Network Algorithm -- 3.2 Neural Network Model and Predictions -- 4 Results and Discussion -- 4.1 Model Development and Evaluation -- 4.2 Validation of the Results -- 4.3 Sensitivity Analysis - Importance of Variables -- 5 Conclusions -- References -- Prediction of Airport Pavement Moduli by Machine Learning Methodology Using Non-destructive Field Testing Data Augmentation -- 1 Introduction -- 2 Materials and Methods -- 2.1 In Situ Investigation -- 2.2 Backcalculation Process -- 3 Methodology -- 3.1 Neural Modelling -- 3.2 Bayesian Regularization -- 3.3 k-Fold Cross-Validation -- 3.4 Data Augmentation -- 4 Results and Discussion -- 5 Conclusions -- References -- Prediction of Geological Conditions Ahead of the Tunnel Face: Comparing the Accuracy of Machine Learning Models Trained on Real and Synthetic Data -- 1 Introduction -- 2 Methodology -- 2.1 Data Collection and Preprocessing -- 2.2 Oversampling and Synthetic Data Generation -- 2.3 Ensemble ML Methods -- 3 Results -- 3.1 Input Variables Selection -- 3.2 Oversampling -- 3.3 Unsupervised Clustering -- 3.4 Supervised Classification -- 4 Conclusion and Outlook -- References -- Predictions of Root Tensile Strength for Different Vegetation Species Using Individual and Ensemble Machine Learning Models -- 1 Introduction -- 2 Background -- 3 Methodology -- 3.1 Experimental Analysis. 3.2 Selection of Critical Parameters (Affecting Root Tensile Strength) Using Feature Engineering -- 3.3 Machine Learning Models -- 3.4 Optimization of Model Parameters -- 4 Results -- 4.1 Feature Selection -- 4.2 Root Tensile Strength -- 4.3 Optimized Hyperparameters -- 4.4 Model Validation -- 5 Discussion and Conclusions -- References -- Towards the Development of a Budget Categorisation Machine Learning Tool: A Review -- 1 Introduction -- 1.1 Artificial Neural Networks in Cost Estimation -- 1.2 Natural Language Processing in Budget Categorisation -- 2 Research Methodology -- 3 AI and Its Use in AEC for Cost Management and Budgeting -- 3.1 Main Techniques -- 3.2 Practical Application of the Algorithms -- 3.3 The Importance of Data Collection -- 3.4 Algorithm Performance and Impact on Task Improvement -- 4 Conclusions -- References -- Transforming Construction Entities from Traditional Management to Autonomous Management Using Blockchain -- 1 Introduction -- 2 Construction Industry Transformation -- 3 Blockchain, Smart Contracts and DAOs -- 3.1 Establishing a DAO -- 4 Construction Governance DAO -- 5 Conclusion -- References -- Building Information Modelling (BIM), Construction Automation and Robotics -- A Toolbox for the Automatic Interpretation of Bender Element Tests in Geomechanics -- 1 Introduction -- 2 Description of the GeoHyTE Platform -- 2.1 Background -- 2.2 Computational Architecture -- 3 Validation Using International Parallel Test Benchmarks -- 3.1 Description of the Experimental Campaign -- 3.2 Statistical Analysis of the Results -- 4 Conclusions -- References -- Additive Manufactured (3D-Printed) Connections for Thermoplastic Facades -- 1 Introduction -- 2 Methodology -- 2.1 Design Criteria -- 2.2 Fabrication -- 3 Experiments and Results -- 3.1 Monomaterial Approach -- 3.2 Hybrid Connection Study -- 3.3 Facade Connections. 4 Conclusion and Outlook -- References -- Auto(mated)nomous Assembly -- 1 Introduction -- 1.1 Intelligent Construction and Automation -- 2 State of the Art -- 3 SL Blocks for Architectural Design and Construction -- 3.1 Hierarchical Design Strategy -- 3.2 Automate Generation of SL-Strands -- 3.3 Towards Fully Autonomous Construction - from Shape Input to Robotic Assembly -- 4 Conclusion and Future Work -- References -- BIM-to-FEM: Development of a Software Tool to Increase the Operational Efficiency of Dam Construction Projects -- 1 Introduction -- 2 Review on BIM-to-FEM Applications -- 3 BIM-to-FEM: Integration of Design and Numerical Analysis -- 3.1 Status Quo of Original Tool -- 3.2 Numerical Analysis Workflow -- 3.3 Human-Centered Data Integration Methodology -- 3.4 Numerical Modelling -- 3.5 Output, Visualization and Reporting -- 3.6 Capabilities and Outlook -- 4 Conclusion -- References -- Converting Algorithms into Tangible Solutions -- 1 Introduction -- 2 Methodology -- 3 Making the Digital Real -- 3.1 New Manufacturing Strategies -- 3.2 Fabricating Through Algorithms -- 4 Algorithmic Framework -- 5 Evaluation -- 5.1 Design Intent -- 5.2 Geometric Exploration -- 5.3 Manufacturing-Related Information -- 5.4 Design Prototyping -- 5.5 Aesthetical Consideration -- 6 Discussion -- 7 Conclusion -- References -- Development of a BIM Model for Facility Management with Virtual/Augmented Reality Interaction -- 1 Introduction -- 2 FEHST Case Study Project Requirements -- 2.1 Information Requirements, Purposes and BIM Uses -- 2.2 Functional and Nonfunctional Project Requirements -- 2.3 Level of Information Need Definition -- 3 BIM Model from Laser Scanner Survey -- 3.1 Point Cloud of the Case Study Region -- 3.2 Development of the BIM Model -- 4 Adding Complex Machinery into the Model -- 4.1 Simplification of the Machines. 4.2 Adding the Simplified Machines to the BIM Model -- 4.3 Export and Delivery for FM Database and Virtual/Augmented Reality -- 5 Conclusion -- References -- Improv-Structure: Exploring Improvisation in Collective Human-Robot Construction -- 1 Introduction -- 2 State of the Art -- 2.1 Improvisation and Robotics -- 2.2 Segregation Between Design and Construction -- 2.3 Human-Robot Interaction and Immersive/Participatory Design Using Robots -- 2.4 Collective Human-Robot Construction (CHRC) -- 3 Methodology -- 3.1 Combining the Strengths of Robots and Humans -- 3.2 Distributing Design Decision-Making -- 4 Results -- 5 Discussion, Limitation, and Outlook -- 5.1 Discussion -- 5.2 Limitations -- 5.3 Outlook -- 6 Image Credits -- References -- Sustainable Construction -- An Exploration of Graph-Based FEM Optimization for Construction Industry -- 1 Research Background -- 1.1 Objectified Design -- 1.2 Objectified Data Structure -- 1.3 The Objectified Design Dilemma of Structural Profession -- 1.4 Specific Manifestations of the Dilemma -- 1.5 Certification Issues for New Structural Materials Caused by FEM -- 2 Research Content -- 2.1 Basic Concepts and Principles of This Research -- 2.2 Research Work and Technical Path -- 2.3 Data Format Interpretation for Plug-In -- 2.4 Assembly Case Introduction -- 2.5 Initial-Split-Graph -- 2.6 Analysis of Damage-Path -- 2.7 FEM Analysis for Components and Mechanics Approximation -- 3 Summary -- References -- Assessing Hazardous Spills Impact on Road Surface Performances by 3D High Resolution Surveying Techniques -- 1 Introduction -- 2 Geomatic Methods for High Resolution 3D Modelling -- 3 Experimental Program -- 3.1 Test Preparation and Spill Procedure -- 3.2 Photogrammetric Survey and Data Processing -- 4 Results -- 5 Conclusion -- References. Integrating Smart and Sustainable Construction: A Review of Present Status, and Possible Opportunities. |
| Record Nr. | UNINA-9910631098803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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