Bankruptcy Prediction through Soft Computing based Deep Learning Technique / / by Arindam Chaudhuri, Soumya K Ghosh
| Bankruptcy Prediction through Soft Computing based Deep Learning Technique / / by Arindam Chaudhuri, Soumya K Ghosh |
| Autore | Chaudhuri Arindam |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XVII, 102 p. 59 illus.) |
| Disciplina |
005.437
4.019 |
| Soggetto topico |
User interfaces (Computer systems)
Artificial intelligence Computer simulation Management information systems Computer science Banks and banking Statistics User Interfaces and Human Computer Interaction Artificial Intelligence Simulation and Modeling Management of Computing and Information Systems Banking Statistics for Business, Management, Economics, Finance, Insurance |
| ISBN | 981-10-6683-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Need of this Research -- Literature Review -- Bankruptcy Prediction Methodology -- Need for Risk Classification -- Experimental Framework: Bankruptcy Prediction using Soft Computing based Deep Learning Technique.- Datasets Used -- Experimental Results -- Conclusion . |
| Record Nr. | UNINA-9910254843703321 |
Chaudhuri Arindam
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| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 | ||
| Lo trovi qui: Univ. Federico II | ||
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Decision making algorithms for hydro-power plant location / / Mrinmoy Majumder and Soumya Ghosh
| Decision making algorithms for hydro-power plant location / / Mrinmoy Majumder and Soumya Ghosh |
| Autore | Majumder Mrinmoy |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | New York, : Springer, 2013 |
| Descrizione fisica | 1 online resource (vi, 73 pages) : illustrations (some color), color maps |
| Disciplina |
333.9140151
621.319 |
| Altri autori (Persone) | GhoshSoumya K |
| Collana | Springer briefs in energy |
| Soggetto topico |
Water-power
Power-plants |
| ISBN | 981-4451-63-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Hydro-Power Plants -- Decision Making Procedures -- Nature Based Algorithms -- Case Studies -- Conclusions. |
| Record Nr. | UNINA-9910739474303321 |
Majumder Mrinmoy
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| New York, : Springer, 2013 | ||
| Lo trovi qui: Univ. Federico II | ||
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Enhanced Bayesian Network Models for Spatial Time Series Prediction : Recent Research Trend in Data-Driven Predictive Analytics / / by Monidipa Das, Soumya K. Ghosh
| Enhanced Bayesian Network Models for Spatial Time Series Prediction : Recent Research Trend in Data-Driven Predictive Analytics / / by Monidipa Das, Soumya K. Ghosh |
| Autore | Das Monidipa |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (xxiii, 149 pages) : illustrations |
| Disciplina |
519.542
519.55 (edition:23) |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Engineering—Data processing Computational complexity Engineering mathematics Computational Intelligence Data Engineering Complexity Engineering Mathematics |
| ISBN | 3-030-27749-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Standard Bayesian Network Models for Spatial Time Series Prediction -- Bayesian Network with added Residual Correction Mechanism -- Spatial Bayesian Network -- Semantic Bayesian Network -- Advanced Bayesian Network Models with Fuzzy Extension -- Comparative Study of Parameter Learning Complexity -- Spatial Time Series Prediction using Advanced BN Models— An Application Perspective -- Summary and Future Research. |
| Record Nr. | UNINA-9910485008003321 |
Das Monidipa
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Lo trovi qui: Univ. Federico II | ||
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Quantitative Modeling of Operational Risk in Finance and Banking Using Possibility Theory / / by Arindam Chaudhuri, Soumya K. Ghosh
| Quantitative Modeling of Operational Risk in Finance and Banking Using Possibility Theory / / by Arindam Chaudhuri, Soumya K. Ghosh |
| Autore | Chaudhuri Arindam |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XVI, 190 p. 65 illus., 53 illus. in color.) |
| Disciplina | 658.155 |
| Collana | Studies in Fuzziness and Soft Computing |
| Soggetto topico |
Computational complexity
Statistics Operations research Decision making Economics, Mathematical Complexity Statistics for Business, Management, Economics, Finance, Insurance Operations Research/Decision Theory Quantitative Finance |
| ISBN | 3-319-26039-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910254185603321 |
Chaudhuri Arindam
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Lo trovi qui: Univ. Federico II | ||
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Statistical and Machine Learning Models for Remote Sensing Data Mining - Recent Advancements
| Statistical and Machine Learning Models for Remote Sensing Data Mining - Recent Advancements |
| Autore | Das Monidipa |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (112 p.) |
| Soggetto topico |
Environmental economics
Research and information: general |
| Soggetto non controllato |
AOD recovery
CNN conditional random fields CYGNSS Dirichlet process East Asia feature-level fusion Gamma distribution GNSS-R high wind speed inversion infinite mixture models knowledge distillation LightGBM n/a noisy labels oil spill detection online setting optical image PCA-SVR polarized SAR random forest remote sensing images scene classification spatiotemporal weight interpolation SVR synthetic aperture radar images teacher-student variational inference |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910585940903321 |
Das Monidipa
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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