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Advances in Remote Sensing and Geo Informatics Applications : Proceedings of the 1st Springer Conference of the Arabian Journal of Geosciences (CAJG-1), Tunisia 2018 / / edited by Hesham M. El-Askary, Saro Lee, Essam Heggy, Biswajeet Pradhan
| Advances in Remote Sensing and Geo Informatics Applications : Proceedings of the 1st Springer Conference of the Arabian Journal of Geosciences (CAJG-1), Tunisia 2018 / / edited by Hesham M. El-Askary, Saro Lee, Essam Heggy, Biswajeet Pradhan |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XXIX, 361 p. 196 illus., 172 illus. in color.) |
| Disciplina | 551 |
| Collana | Advances in Science, Technology & Innovation, IEREK Interdisciplinary Series for Sustainable Development |
| Soggetto topico |
Natural disasters
Water pollution Marine sciences Freshwater Atmospheric sciences Natural Hazards Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution Marine & Freshwater Sciences Atmospheric Sciences |
| ISBN | 3-030-01440-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Geoinformatics & Applications -- Land Use Land Cover Mapping & Urban Form Assessment -- Lidar Drone and Emerging Technologies Applications -- Rock Formations & Soil Lithology Mapping -- Vegetation Mapping impact Assessment -- Natural Hazards Monitoring & Mapping -- Ground Water Mapping & Assessment -- Coastal Management & Marine Environement -- Atmospheric Sensing. |
| Record Nr. | UNINA-9910337898003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning and Data Mining in Aerospace Technology / / edited by Aboul Ella Hassanien, Ashraf Darwish, Hesham El-Askary
| Machine Learning and Data Mining in Aerospace Technology / / edited by Aboul Ella Hassanien, Ashraf Darwish, Hesham El-Askary |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (VIII, 232 p. 97 illus., 62 illus. in color.) |
| Disciplina | 006.31 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Aerospace engineering Astronautics Artificial intelligence Computational Intelligence Aerospace Technology and Astronautics Artificial Intelligence |
| ISBN | 3-030-20212-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Tensor-based anomaly detection for satellite telemetry data -- Machine learning in satellites monitoring and risk challenges -- Formalization, prediction and recognition of expert evaluations of telemetric data of artificial satellites based on type-II fuzzy sets -- Intelligent health monitoring systems for space missions based on data mining techniques -- Design, implementation, and validation of satellite simulator and data packets analysis -- Crop yield estimation using decision trees and random forest machine learning algorithms on data from terra (EOS AM-1) & aqua (EOS PM-1) satellite data -- Data analytics using satellite remote sensing in healthcare applications -- Design, Implementation, and Testing of Unpacking System for Telemetry Data of Artificial Satellites: Case Study: EGYSAT1 -- Multiscale Satellite Image Classification using Deep Learning Approach -- Security approaches in machine learning for satellite communication -- Machine learning techniques for IoT intrusions detection in aerospace cyber physical systems. |
| Record Nr. | UNINA-9910484962803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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