Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2021
ISBN 10: 620472617X ISBN 13: 9786204726175
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Verlag: Ediciones Nuestro Conocimiento, 2023
ISBN 10: 6204668129 ISBN 13: 9786204668123
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Taschenbuch. Zustand: Neu. Detection of Phishing Websites using Random Forest Algorithm | R. Pradeep Kumar Reddy (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786204726175 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 620319574X ISBN 13: 9786203195743
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Taschenbuch. Zustand: Neu. Optimal Threshold Selection Based on Random Fuzzy Sets | for Image Segmentation and Analysis | R. Pradeep Kumar Reddy (u. a.) | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786203195743 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659211109 ISBN 13: 9783659211102
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Verlag: Springer International Publishing AG, Cham, 2025
ISBN 10: 3031888693 ISBN 13: 9783031888694
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Hardcover. Zustand: new. Hardcover. Geospatial tools to Groundwater Resources explain the most recent methods in Geographic Information Systems (GIS) and geostatistics as they apply to groundwater through complete case studies that demonstrate actual remote sensing applications in this field. Due to the rising demand for water, its decreasing quality, and its limited supply, water resource management has grown to be a serious issue. In many places of the world, groundwater is the main supply of fresh water, but certain areas are growing unduly reliant on it, utilising groundwater more quickly than it can be replenished naturally and resulting in an unceasing decrease in water tables. For the efficient use, management, and modelling of this priceless but diminishing natural resource, systematic planning of groundwater consumption using current approaches is crucial. Remote sensing, GIS, GPS (Global Positioning Systems), and geostatistical approaches are among the effective water management methods that have developed with the introduction of powerful and fast personal computers.Now more than ever, it is possible to analyse with greater accuracy the relationships between environmental elements and human health and wellbeing. Our understanding of the continuum between environment and health consequences on many different sizes, from the global to even the individual, has evolved thanks to a number of transdisciplinary accomplishments.This book covers a wide range of geospatial health-related topics and methods, including climate change, healthcare utilisation, health disparities, air quality assessment, asthma, water quality assessment, and machine learning. It also advances scientific understanding, development, and application of geospatial technologies related to water resource management.Researchers and postgraduate students in Earth and Environmental Sciences, particularly GIS, agriculture, hydrology, natural resources, and soil science, who need to be ableto apply the most recent innovations in groundwater research in a practical way will find Case Studies in Geospatial Applications to Groundwater Resources to be a valuable resource. This edited volume will concentrate on the most recent studies and uses of geospatial methods in water resource management, offering insights into the difficulties and possibilities of applying these methods to solve practical issues. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Verlag: Springer International Publishing AG, Cham, 2025
ISBN 10: 3031994965 ISBN 13: 9783031994968
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Hardcover. Zustand: new. Hardcover. This book covers a review, case studies, and research articles from various countries and institutes on all three promising technologies Remote Sensing, GIS, and modelling. In detail, it covers all advanced technologies like Remote Sensing, GIS, machine learning and hydrological modelling, and Monte-Carlo Simulation for water resource management to attain sustainable development goals. It covers chapters on the MCDM approach, machine learning, fuzzy modelling, MIF&AHP techniques, and LULC's impact on water resources for sustainable water resource development. It will be useful for researchers, policymakers, urban planners, etc. as it covers all promising technologies in one place. This book covers a review, case studies, and research articles from various countries and institutes on all three promising technologies Remote Sensing, GIS, and modelling. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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In den WarenkorbHardcover. Zustand: new. Hardcover. This book covers a review, case studies, and research articles from various countries and institutes on all three promising technologies Remote Sensing, GIS, and modelling. In detail, it covers all advanced technologies like Remote Sensing, GIS, machine learning and hydrological modelling, and Monte-Carlo Simulation for water resource management to attain sustainable development goals. It covers chapters on the MCDM approach, machine learning, fuzzy modelling, MIF&AHP techniques, and LULC's impact on water resources for sustainable water resource development. It will be useful for researchers, policymakers, urban planners, etc. as it covers all promising technologies in one place. This book covers a review, case studies, and research articles from various countries and institutes on all three promising technologies Remote Sensing, GIS, and modelling. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Sprache: Englisch
Verlag: Springer Nature Switzerland, Springer International Publishing, 2025
ISBN 10: 3031888693 ISBN 13: 9783031888694
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Geospatial tools to Groundwater Resources explain the most recent methods in Geographic Information Systems (GIS) and geostatistics as they apply to groundwater through complete case studies that demonstrate actual remote sensing applications in this field. Due to the rising demand for water, its decreasing quality, and its limited supply, water resource management has grown to be a serious issue. In many places of the world, groundwater is the main supply of fresh water, but certain areas are growing unduly reliant on it, utilising groundwater more quickly than it can be replenished naturally and resulting in an unceasing decrease in water tables. For the efficient use, management, and modelling of this priceless but diminishing natural resource, systematic planning of groundwater consumption using current approaches is crucial. Remote sensing, GIS, GPS (Global Positioning Systems), and geostatistical approaches are among the effective water management methods that have developed with the introduction of powerful and fast personal computers.Now more than ever, it is possible to analyse with greater accuracy the relationships between environmental elements and human health and wellbeing. Our understanding of the continuum between environment and health consequences on many different sizes, from the global to even the individual, has evolved thanks to a number of transdisciplinary accomplishments.This book covers a wide range of geospatial health-related topics and methods, including climate change, healthcare utilisation, health disparities, air quality assessment, asthma, water quality assessment, and machine learning. It also advances scientific understanding, development, and application of geospatial technologies related to water resource management.Researchers and postgraduate students in Earth and Environmental Sciences, particularly GIS, agriculture, hydrology, natural resources, and soil science, who need to be ableto apply the most recent innovations in groundwater research in a practical way will find Case Studies in Geospatial Applications to Groundwater Resources to be a valuable resource. This edited volume will concentrate on the most recent studies and uses of geospatial methods in water resource management, offering insights into the difficulties and possibilities of applying these methods to solve practical issues.
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book covers a review, case studies, and research articles from various countries and institutes on all three promising technologies Remote Sensing, GIS, and modelling. In detail, it covers all advanced technologies like Remote Sensing, GIS, machine learning and hydrological modelling, and Monte-Carlo Simulation for water resource management to attain sustainable development goals. It covers chapters on the MCDM approach, machine learning, fuzzy modelling, MIF&AHP techniques, and LULC's impact on water resources for sustainable water resource development. It will be useful for researchers, policymakers, urban planners, etc. as it covers all promising technologies in one place.
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Verlag: Springer International Publishing AG, Cham, 2025
ISBN 10: 3031888693 ISBN 13: 9783031888694
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Hardcover. Zustand: new. Hardcover. Geospatial tools to Groundwater Resources explain the most recent methods in Geographic Information Systems (GIS) and geostatistics as they apply to groundwater through complete case studies that demonstrate actual remote sensing applications in this field. Due to the rising demand for water, its decreasing quality, and its limited supply, water resource management has grown to be a serious issue. In many places of the world, groundwater is the main supply of fresh water, but certain areas are growing unduly reliant on it, utilising groundwater more quickly than it can be replenished naturally and resulting in an unceasing decrease in water tables. For the efficient use, management, and modelling of this priceless but diminishing natural resource, systematic planning of groundwater consumption using current approaches is crucial. Remote sensing, GIS, GPS (Global Positioning Systems), and geostatistical approaches are among the effective water management methods that have developed with the introduction of powerful and fast personal computers.Now more than ever, it is possible to analyse with greater accuracy the relationships between environmental elements and human health and wellbeing. Our understanding of the continuum between environment and health consequences on many different sizes, from the global to even the individual, has evolved thanks to a number of transdisciplinary accomplishments.This book covers a wide range of geospatial health-related topics and methods, including climate change, healthcare utilisation, health disparities, air quality assessment, asthma, water quality assessment, and machine learning. It also advances scientific understanding, development, and application of geospatial technologies related to water resource management.Researchers and postgraduate students in Earth and Environmental Sciences, particularly GIS, agriculture, hydrology, natural resources, and soil science, who need to be ableto apply the most recent innovations in groundwater research in a practical way will find Case Studies in Geospatial Applications to Groundwater Resources to be a valuable resource. This edited volume will concentrate on the most recent studies and uses of geospatial methods in water resource management, offering insights into the difficulties and possibilities of applying these methods to solve practical issues. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Verlag: Springer International Publishing AG, Cham, 2025
ISBN 10: 3031994965 ISBN 13: 9783031994968
Anbieter: AussieBookSeller, Truganina, VIC, Australien
Hardcover. Zustand: new. Hardcover. This book covers a review, case studies, and research articles from various countries and institutes on all three promising technologies Remote Sensing, GIS, and modelling. In detail, it covers all advanced technologies like Remote Sensing, GIS, machine learning and hydrological modelling, and Monte-Carlo Simulation for water resource management to attain sustainable development goals. It covers chapters on the MCDM approach, machine learning, fuzzy modelling, MIF&AHP techniques, and LULC's impact on water resources for sustainable water resource development. It will be useful for researchers, policymakers, urban planners, etc. as it covers all promising technologies in one place. This book covers a review, case studies, and research articles from various countries and institutes on all three promising technologies Remote Sensing, GIS, and modelling. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Taschenbuch. Zustand: Neu. Détection des sites Web de phishing à l'aide de l'algorithme Random Forest | R. Pradeep Kumar Reddy (u. a.) | Taschenbuch | Französisch | 2023 | Editions Notre Savoir | EAN 9786204668130 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Verlag: Sciencia Scripts, 2022
ISBN 10: 6204668153 ISBN 13: 9786204668154
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Obnaruzhenie fishingowyh sajtow s ispol'zowaniem algoritma sluchajnogo lesa | R. Pradeep Kumar Reddy (u. a.) | Taschenbuch | Russisch | 2022 | Sciencia Scripts | EAN 9786204668154 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Sprache: Portugiesisch
Verlag: Edições Nosso Conhecimento, 2022
ISBN 10: 6204668102 ISBN 13: 9786204668109
Anbieter: moluna, Greven, Deutschland
EUR 35,62
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Taschenbuch. Zustand: Neu. Rilevamento di siti Web di phishing utilizzando l'algoritmo Random Forest | R. Pradeep Kumar Reddy (u. a.) | Taschenbuch | Italienisch | 2022 | Edizioni Sapienza | EAN 9786204668147 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.