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Geohazard mitigation : select proceedings of VCDRR 2021 / / Basanta Raj Adhikari, Sreevalsa Kolathayar, editors
| Geohazard mitigation : select proceedings of VCDRR 2021 / / Basanta Raj Adhikari, Sreevalsa Kolathayar, editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (485 pages) |
| Disciplina | 624 |
| Collana | Lecture Notes in Civil Engineering |
| Soggetto topico | Civil engineering |
| ISBN |
981-16-6140-5
981-16-6139-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743379003321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Geomorphic Risk Reduction Using Geospatial Methods and Tools
| Geomorphic Risk Reduction Using Geospatial Methods and Tools |
| Autore | Sarkar Raju |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (328 pages) |
| Disciplina | 363.3472 |
| Altri autori (Persone) |
SahaSunil
AdhikariBasanta Raj ShawRajib |
| Collana | Disaster Risk Reduction Series |
| ISBN | 981-9977-07-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- About This Book -- Contents -- Editors and Contributors -- Part I Geomorphic Hazards and Machine Learning Techniques -- 1 Landslide Susceptibility Assessment Based on Machine Learning Techniques -- 1.1 Introduction -- 1.1.1 Landslides -- 1.1.2 Development of Landslide Susceptibility Assessment -- 1.1.3 Machine Learning for Dealing with Regression and Classification Problems -- 1.1.4 Supervised and Unsupervised Learning -- 1.2 Landslide Inventory and Disaster-Related Geo-Environmental Variable Dataset -- 1.2.1 Landslide Inventory -- 1.2.2 Geo-Environmental Database -- 1.3 Machine Learning Methods for Landslide Susceptibility Assessment -- 1.3.1 Linear Regression -- 1.3.2 Logistic Regression -- 1.3.3 Naïve Bayes -- 1.3.4 K-Nearest Neighbors -- 1.3.5 K-Means Clustering -- 1.3.6 Random Forest -- 1.3.7 Boosting Algorithms -- 1.3.8 Support Vector Machine -- 1.3.9 Artificial Neural Network -- 1.4 Summarization -- 1.4.1 Scale -- 1.4.2 Performance -- 1.4.3 Modeling -- 1.4.4 Interpretability -- References -- 2 Gully Erosion Susceptibility Using Advanced Machine Learning Method in Pathro River Basin, India -- 2.1 Introduction -- 2.2 Materials and Methods -- 2.2.1 Study Area -- 2.2.2 Preparing Gully Erosion Influencing Factors -- 2.2.3 Multicollinearity Test Among Independent Factors -- 2.2.4 Gully Erosion Susceptibility Mapping Based on BRT Model -- 2.2.5 Performance Assessment Through Receiver Operating Characteristics (ROC) Curve -- 2.3 Results -- 2.3.1 Considering Multicollinearity Effective Factors -- 2.3.2 Gully Erosion Susceptibility Model (GESM) Based on BRT -- 2.3.3 Validation of BRT Model -- 2.4 Discussion and Conclusion -- References -- 3 Artificial Neural Network Ensemble with General Linear Model for Modeling the Landslide Susceptibility in Mirik Region of West Bengal, India -- 3.1 Introduction -- 3.2 Study Area.
3.3 Materials and Methods -- 3.3.1 Landslide Inventory Map (LIM) -- 3.3.2 Preparing Landslide Conditioning Factors -- 3.3.3 Multicollinearity Test -- 3.3.4 Methods of Landslide Susceptibility Mapping -- 3.3.5 Validation Methods -- 3.4 Results -- 3.4.1 Multicollinearity Analysis -- 3.4.2 Landslide Susceptibility Maps -- 3.4.3 Analysis of Factor Importance by Frequency Ratio (FR) -- 3.4.4 Validation and Comparison of Models -- 3.5 Discussion -- 3.6 Conclusion -- References -- 4 An Advanced Hybrid Machine Learning Technique for Assessing the Susceptibility to Landslides in the Upper Meenachil River Basin of Kerala, India -- 4.1 Introduction -- 4.2 Study Area -- 4.3 Material and Method -- 4.3.1 Methodology -- 4.3.2 Landslide Inventory Map (LIM) -- 4.3.3 Preparing Landslide Conditioning Factors (LCF) -- 4.3.4 Multi-Collinearity Test -- 4.3.5 Methods of Landslide Susceptibility Mapping -- 4.3.6 Validation Methods -- 4.4 Results -- 4.4.1 Multi-Collinearity Analysis -- 4.4.2 Landslide Susceptibility Maps (LSMs) -- 4.4.3 Analysis of Factor Importance by Information Gain Ratio (IGR) -- 4.4.4 Validation and Comparison of Models -- 4.5 Discussion -- 4.6 Conclusion -- References -- 5 Novel Ensemble of M5P and Deep Learning Neural Network for Predicting Landslide Susceptibility: A Cross-Validation Approach -- 5.1 Introduction -- 5.2 Study Area -- 5.3 Material and Method -- 5.3.1 Methodology -- 5.3.2 Landslide Inventory Map (LIM) and Cross-Validation Method -- 5.3.3 Preparing Landslide Conditioning Factors -- 5.3.4 Multi-collinearity Test -- 5.3.5 Methods of Landslide Susceptibility Mapping -- 5.3.6 Validation Methods -- 5.4 Results -- 5.4.1 Multi-collinearity Analysis -- 5.4.2 Landslide Susceptibility Maps -- 5.4.3 Analysis of Factor Importance by Random Forest (RF) -- 5.4.4 Validation and Comparison of Models -- 5.5 Discussion -- 5.6 Conclusion -- References. 6 Assessment of Landslide Vulnerability Using Statistical and Machine Learning Methods in Bageshwar District of Uttarakhand, India -- 6.1 Introduction -- 6.2 Study Area -- 6.3 Material and Methods -- 6.3.1 Landslide Inventory -- 6.3.2 Landslide Vulnerability Determining Factors: -- 6.3.3 The Logistic Regression (LR): -- 6.3.4 Artificial Neuron Networks (ANN) -- 6.3.5 Validation Method-ROC Curve -- 6.4 Results -- 6.4.1 Landslide Susceptibility (Lsi) -- 6.4.2 Socio-Economic Vulnerability (S−evi) -- 6.4.3 Relative Landslide Vulnerability (RLvi) -- 6.4.4 Validation and Comparison: -- 6.5 Discussion -- 6.6 Conclusion -- References -- 7 An Ensemble of J48 Decision Tree with AdaBoost and Bagging for Flood Susceptibility Mapping in the Sundarbans of West Bengal, India -- 7.1 Introduction -- 7.2 Study Area -- 7.3 Material and Methods -- 7.3.1 Study Design -- 7.3.2 Data Source -- 7.3.3 Preparation of Flood Inventory Map (FIM) -- 7.3.4 Determination of Flood Conditioning Factors (FCFs) -- 7.3.5 Multi-collinearity Analysis -- 7.3.6 Models Applied for Flood Susceptibility Mapping -- 7.4 Results -- 7.4.1 Analysis of Multi-collinearity Problem Among FCFs -- 7.4.2 Assessment of Flood Susceptibility -- 7.4.3 Factors Importance Analysis -- 7.4.4 Validation and Comparison -- 7.5 Discussion -- 7.6 Conclusion -- References -- 8 Spatial Flash Flood Modeling in the Beas River Basin of Himachal Pradesh, India, Using GIS-Based Machine Learning Algorithms -- 8.1 Introduction -- 8.2 Study Area -- 8.3 Material and Method -- 8.3.1 Methodology -- 8.3.2 Flash Flood Inventory Map (FFIM) -- 8.3.3 Preparing Flash Flood Conditioning Factors -- 8.3.4 Multi-Collinearity Test -- 8.3.5 Methods of Flash Flood Susceptibility Mapping -- 8.3.6 Validation Methods -- 8.4 Results -- 8.4.1 Multi-collinearity Analysis -- 8.4.2 Flash Flood Susceptibility Maps. 8.4.3 Analysis of Factor Importance by Random Forest (RF) -- 8.4.4 Validation and Comparison of Models -- 8.5 Discussion -- 8.6 Conclusion -- References -- Part II Geomorphic Hazards and Multi-temporal Satellite Images -- 9 Quantitative Assessment of Interferometric Synthetic Aperture Radar (INSAR) for Landslide Monitoring and Mitigation -- 9.1 Introduction -- 9.1.1 Description of the El Forn Landslide -- 9.1.2 Physics-Based Model -- 9.2 Materials and Methods -- 9.2.1 Experimental Design -- 9.3 Results -- 9.3.1 Correlating InSAR with In-Situ Data for Seasonal and Extreme Ground Motion -- 9.3.2 Ordinary Kriging: Assessing the Necessary Number of InSAR Observations -- 9.4 Discussion -- References -- 10 Geospatial Study of River Shifting and Erosion-Deposition Phenomenon Along a Selected Stretch of River Damodar, West Bengal, India -- 10.1 Introduction -- 10.2 Study Area -- 10.3 Methodology -- 10.3.1 Data Used and Methodology -- 10.3.2 Morphometric Analysis -- 10.3.3 Sinuosity Index -- 10.3.4 Braiding Index -- 10.3.5 Alpha Index -- 10.4 Statistical Analysis -- 10.4.1 Correlation Coefficient -- 10.4.2 Student's t-test -- 10.4.3 River Reaches and Cross-Sections -- 10.5 Results and Discussion -- 10.5.1 Temporal Changes in Morphometric Parameters -- 10.5.2 Statistical Interpretation of Various Morphometric Parameters -- 10.5.3 Erosion-Deposition and River Shifting Phenomena -- 10.5.4 Spatio-Temporal Variation of Erosion-Deposition Scenarios Along the Selected River Stretch -- 10.5.5 Reach-Wise Erosion and Deposition Phenomena and Shifting of River Course from 2001 to 2018 -- 10.5.6 Statistical Interpretation of Erosion and Deposition Study -- 10.6 Conclusions -- References -- 11 Assessing the Shifting of the River Ganga Along Malda District of West Bengal, India Using Temporal Satellite Images -- 11.1 Introduction -- 11.2 Study Area. 11.3 Materials and Methods -- 11.3.1 Method of Image Classification and Accuracy Assessment -- 11.4 Results and Discussion -- 11.4.1 Shifting of Channel -- 11.4.2 Impact of Channel Shifting on Land Use and Land Cover Along River Bank 1990-2020 -- 11.5 Conclusion -- References -- 12 An Evaluation of Hydrological Modeling Using CN Method and Satellite Images in Ungauged Barsa River Basin of Pasakha, Bhutan -- 12.1 Introduction -- 12.2 Study Area -- 12.2.1 Study Method -- 12.2.2 Soil Grouping: Infiltration Testing -- 12.2.3 Hydrologic Soil Group (HSG) -- 12.2.4 Curve Number -- 12.3 Runoff Simulation in HEC-HMS 3.4 -- 12.4 Conclusion -- References -- 13 Measuring Landslide Susceptibility in Jakholi Region of Garhwal Himalaya Using Landsat Images and Ensembles of Statistical and Machine Learning Algorithms -- 13.1 Introduction -- 13.2 Study Area -- 13.3 Materials and Methods -- 13.3.1 Preparing Landslide Inventory Map -- 13.3.2 Preparing Landslide Conditioning Factors -- 13.3.3 Multicollinearity Test -- 13.3.4 Certainty Factor (CF) Model -- 13.3.5 Support Vector Machine (SVM) -- 13.3.6 Random Forest -- 13.3.7 ANN -- 13.3.8 Model Validation Techniques -- 13.4 Results -- 13.4.1 Analyzing the Multicollinearity -- 13.4.2 Relationship Between Landslides and Conditioning Factors -- 13.4.3 Landslide Susceptibility Condition -- 13.4.4 Model Validation and Comparison -- 13.5 Discussion -- 13.6 Conclusion -- References -- 14 Landslide Susceptibility Mapping Using Satellite Images and GIS-Based Statistical Approaches in Part of Kullu District, Himachal Pradesh, India -- 14.1 Introduction -- 14.2 Research Area -- 14.3 Methodology -- 14.4 Data Used and Database Preparation -- 14.4.1 Landslide Inventory -- 14.4.2 Prepared Thematic Layers -- 14.5 Adopted Probabilistic Approaches -- 14.5.1 Frequency Ratio (FR) -- 14.5.2 Shannon Entropy (SE). 14.5.3 Information Value (IV). |
| Record Nr. | UNINA-9910855372203321 |
Sarkar Raju
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| Singapore : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Resilient Infrastructure : Select Proceedings of VCDRR 2021
| Resilient Infrastructure : Select Proceedings of VCDRR 2021 |
| Autore | Kolathayar Sreevalsa |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2021 |
| Descrizione fisica | 1 online resource (509 pages) |
| Altri autori (Persone) |
GhoshChandan
AdhikariBasanta Raj PalIndrajit MondalArpita |
| Collana | Lecture Notes in Civil Engineering Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN | 981-16-6978-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- About the Editors -- Resilient Infrastructures and Disaster Risk Reduction-An Introduction -- 1 Introduction and Background -- 2 Disaster Resilience and Infrastructure -- 3 Risk Reduction and Structural Measures -- 4 Evidence-Based Approach for DRR Case Studies -- 5 Numerical Modeling and Constructions Methods -- 6 Prevention Methods and Safety Engineering -- 7 Cross-Cutting Issue in DRR and Infrastructure -- 8 Summary -- References -- Disaster Resilience and Infrastructure -- Disaster Resilience of Infrastructures-A Comprehensive Concept with Case Studies -- 1 Introduction -- 1.1 Disaster Risk Management and Risk Reduction -- 2 Dedicated Engineering Offers-SWOT Analysis -- 2.1 Strength -- 2.2 Weakness -- 2.3 Opportunity -- 2.4 Threat -- 3 Case Study -- 3.1 End-to-end Early Warning System for Surat City -- 3.2 Groundwater Management in Drought-prone Areas: A Case of Pani Panchayat, Maharashtra -- 4 Conclusions -- References -- Thickness Optimization of RC Jacket Applied as a Seismic Retrofit Measure on RC Structural Members to Effectively Resist Earthquake Loads -- 1 Introduction -- 2 Assessment of Optimum Thickness of the RC Jacket Applied to Retrofit Distressed RC Structural Members Having Varied Degrees of Damage -- 2.1 Preliminary Data of the Structure -- 3 Results and Discussion -- 4 Conclusion -- References -- Flood Resilience Quantification for Housing Infrastructure Using Analytic Hierarchy Process -- 1 Introduction -- 2 Implementation of the Developed Framework -- 2.1 The Resilience Quantification Framework -- 2.2 Implementation of the Framework -- 3 Results -- 4 Conclusion -- References -- Feasibility of Post-Cyclone Portable Relief Shelter: Case of Odisha -- 1 Introduction -- 1.1 What is Cyclone? -- 1.2 The Context of Odisha -- 1.3 The Government Mitigation Plan -- 1.4 The Aftermath of Cyclone.
2 The Need for the Temporary Shelter -- 3 Literature Study -- 3.1 Development of the Parameters for Material -- 3.2 Development of Structural System -- 4 Proposed Prototype Design -- 4.1 Description of Material -- 4.2 Description of Structural System -- 4.3 Description of Transportation System -- 5 Feasibility Test of Prototype Design -- 5.1 Structural System Factor -- 5.2 Material Factor -- 5.3 Economy Factor -- 5.4 Maintenance -- 6 Conclusion -- References -- An Explorative Study on Material Feasibility for Relief Shelter for Refugees -- 1 Introduction -- 1.1 Objectives of Research -- 1.2 Background Study -- 1.3 Current Scenarios of Refugees -- 1.4 Material Consideration for Refugee Shelters -- 2 Methodology -- 3 Literature Review -- 3.1 Case Studies -- 3.2 Case Study Analysis -- 4 Material Data Collection and Analysis -- 4.1 Material Feasibility -- 4.2 Properties of the Material-Steel -- 4.3 Simulation -- 5 Formulation of Design Guidelines -- 6 Conclusion -- References -- Situational Analysis to Understand the Need to Disseminate Weather Forewarnings and Develop Critical Infrastructures for Minimizing Crop Loss: Parambikulam Aliyar Basin, Tamil Nadu -- 1 Introduction -- 2 Materials and Methods -- 2.1 Study Area -- 3 Methodology -- 4 Results and Discussion -- References -- Parametric Study of Cold-Formed Lipped Channel Flexural Members Under Fire Hazard -- 1 Introduction -- 2 Description of FE Model -- 2.1 Material, Geometric Imperfection, and Residual Stresses -- 2.2 Analysis Type -- 2.3 Finite Element Meshing and Element Type -- 2.4 Load and Boundary Condition -- 3 Validation Study -- 4 Parametric Study -- 5 Results and Conclusion -- 6 Notations -- References -- COVID-19 Future Proof Infrastructure -- 1 Introduction -- 2 Precautions at the Construction Site -- 3 Buildings Focused. 4 The Structural Elements that Are Discussed Are Follows with the Plan, Section and Technology Adopted -- 4.1 Plan -- 4.2 Entrance -- 4.3 Walls -- 4.4 Indoors -- 4.5 Floors -- 4.6 Roofs -- 4.7 Restroom -- 4.8 Doors -- 5 Conclusion -- References -- Risk Reduction and Structural Measures -- Role of Cold Form Steel in Covid-19 Infra Structure -- 1 Covid 19 -- 2 Cold Form Steel (CFS) -- 2.1 Necessity of Cold Form Steel in Covid Infrastructure -- 2.2 Ease of Construction -- 3 Typical Covid Infrastucture Using CFS -- 3.1 Structural Design and Analysis -- 3.2 Production of Components -- 3.3 Assembly of Components -- 3.4 Gravel Filling -- 3.5 Footings -- 3.6 Wall Panels -- 3.7 Roof Panels -- 3.8 Connections -- 4 Conclusions -- References -- Fragility Analysis for Frame with RC and Steel-composite Shear Wall -- 1 Introduction -- 2 Structural Model -- 3 Nonlinear Modelling -- 3.1 Effective Stiffness -- 4 Material Nonlinearity -- 5 Geometric Nonlinearity -- 6 Nonlinear Analysis -- 6.1 Nonlinear Static Analysis (NSA) -- 6.2 Capacity Spectrum Method (CSM) -- 7 Fragility Analysis -- 7.1 Fragility Function -- 7.2 Damage States and Variability -- 8 Result -- 8.1 Fundamental Time Periods -- 8.2 Capacity Spectrum -- 8.3 Fragility Curves -- 9 Conclusion -- References -- Development of VC++ Wrapper for Structural Modeling in OpenSEES -- 1 Introduction -- 2 VC++ Wrapper Implementation -- 3 Additional Libraries Added to OpenSEES in VC++ -- 3.1 Armadillo Library -- 3.2 MATLAB Engine Library -- 3.3 Other Miscellaneous Libraries -- 4 Illustrative Examples -- 5 Summary and Conclusions -- References -- A State-of-the-Art Review on Methods of Retrofitting in Building Structural Members-A Comprehensive Review -- 1 Introduction -- 2 Retrofitting of Building Structural Members -- 2.1 Beams -- 2.2 Columns -- 2.3 Slabs -- 2.4 Load-Bearing Walls. 3 Future Studies and Recommendations -- 4 Conclusion -- References -- Rehabilitation and Retrofitting of Structural Elements Using Various Fibers -- 1 Introduction -- 1.1 Objectives of the Study -- 2 Model Description -- 3 Results and Discussions -- 4 Conclusion -- References -- Evaluation of Failure Criteria in RC Structural Elements Due to Additional Internal Stresses Developed in Structural Elements Due to Temperature Exposure -- 1 Introduction -- 2 Assessment of Additional Internal Forces Developed in Structural Members Exposed to High Temperature -- 3 Results and Discussion -- 4 Conclusion -- References -- Retrofitting of Distressed RC Structures Using Near Surface Mounted Reinforcement -- 1 Introduction -- 2 Application of Near Surface Mounted Reinforcement Adopting CFRP Rods Applied as Seismic Retrofit on the Distressed RC Structure -- 3 Results and Discussions -- 3.1 Results of the Distressed RC Structure Subjected to Earthquake Loads Retrofitted with Near Surface Mounted Reinforcement and RC Jacket -- 4 Conclusion -- References -- Evidence Based Approach for DRR Case Studies -- Analytical Investigation of Infilled Frames with Openings Under Static Loading -- 1 Introduction -- 2 Modeling and Analysis -- 2.1 Details of Models Used -- 2.2 Details of Frame Model -- 2.3 Modeling of Frame -- 3 Comparison of Results -- 3.1 Lateral Displacement -- 3.2 Stiffness -- 3.3 Lateral Load -- 3.4 Bending Moment -- 4 Conclusion -- References -- Behaviour of Doubly Symmetric Built-Up Cold-Formed Steel Beams -- 1 Introduction -- 1.1 Objectives of the Study -- 2 Theoretical Study -- 3 Analytical Study -- 4 Experimental Study -- 4.1 Experimental Test Setup -- 4.2 Modes of Failure -- 4.3 Experimental Test Results -- 5 Interpretation of Theoretical, Analytical and Experiment Results -- 6 Conclusion -- References. Behavior of Ordinary Load-Bearing Masonry Structure Under Distant Large Explosion, Beirut Scenario -- 1 Introduction -- 2 Numerical Modeling -- 2.1 Air-Blast Loading -- 2.2 Concrete-Damaged Plasticity (CDP) Model -- 3 Results and Discussions -- 4 Conclusion -- References -- Determination Method of the Structural Strength of Deep Reinforced Concrete Beams Using ANSYS Software -- 1 Introduction -- 2 Methods -- 2.1 A theory basic of the Concrete -- 2.2 A Theory Basic of Reinforcement -- 2.3 A Geometrical Model of the Structure -- 2.4 A Process of Structural Simulation Method by ANSYS Workbench 2019 R3 Software -- 3 Results -- 4 Conclusion -- References -- Analytical Investigation on Progressive Collapse of 3-D Reinforced Concrete Frames Under High Temperature -- 1 Introduction -- 2 Previous Works on Progressive Collapse -- 3 Modeling and Analysis -- 4 Comparison of Results -- 4.1 Axial Force on Heated Column -- 4.2 Column Deformation -- 4.3 Stiffness of the Heated Column -- 4.4 Bending Moment -- 4.5 Shear Force -- 4.6 Slab Deflection -- 5 Conclusion -- References -- Study on Fatigue Response of Concrete and Its Effect on Life-Cycle Behavior of Concrete Structures -- 1 Introduction -- 2 Experimental Details -- 3 Results and Discussion -- 4 Conclusions -- References -- Study on Behaviour of Diagrid System on a G+36 High Raised Building -- 1 Introduction -- 2 Model Specifications -- 3 Seismic Evaluation -- 3.1 Pushover Method -- 3.2 Response Spectrum Method -- 3.3 Performance Point -- 4 Results and Discussion -- 4.1 Storey Displacement -- 4.2 Pushover Curve -- 4.3 Performance Point -- 5 Conclusions -- References -- A Comparative Study of Flat Slab, Waffle Slab and Post-tensioned Slab Under the Action of Dynamic Loads -- 1 Introduction -- 2 Methodology -- 2.1 Structural Parameters -- 2.2 Seismic Parameters -- 2.3 Material Properties. 3 Results and Discussions. |
| Record Nr. | UNINA-9910508442403321 |
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Kolathayar Sreevalsa
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| Singapore : , : Springer Singapore Pte. Limited, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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