pradeep kumar reddy (76 résultats)

Etat : New.

Etat : New.

Taschenbuch. Etat : 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.

Paperback. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Etat : new.

Etat : new.

Etat : new.

Etat : New.

Hardcover. Etat : 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.

Etat : new.

Etat : New.

Hardcover. Etat : 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.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New.

Buch. Etat : 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.

Etat : As New. Unread book in perfect condition.

Buch. Etat : 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.

Hardcover. Etat : Brand New. 854 pages. 9.25x6.10x9.21 inches. In Stock.

Etat : New.

Hardcover. Etat : 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.

Hardcover. Etat : Brand New. 500 pages. 9.25x6.10x9.21 inches. In Stock.

Hardcover. Etat : 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.

Etat : New.

Taschenbuch. Etat : 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.

Etat : New.

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Set' prewratilas' w fundamental'nuü chast' nashih obychnyh social'nyh i denezhnyh uprazhnenij. Fishing web-sajta mozhno predstawit' kak imitaciü konfidencial'nogo sajta dlq polucheniq konfidencial'nyh dannyh ot onlajn-klientow, naprimer, imen pol'zowatelej i parolej. Fishing ¿ äto moshennichestwo s sajtom s cel'ü otslezhiwaniq i polucheniq konfidencial'nyh dannyh onlajn-klientow. Zloumyshlennik obmanywaet klienta s pomosch'ü metodow social'nogo proektirowaniq, takih kak SMS, golosowaq swqz', älektronnaq pochta, web-sajty i wredonosnye programmy. V ätom tezise pokazany razlichnye granicy dlq identifikacii sajtow kak fishingowyh ili podlinnyh. Poskol'ku izwlechenie komponentow qwlqetsq osnownoj chast'ü ätoj raboty, byli zadany razlichnye granicy älementow, iz kotoryh mozhno wybrat' wygodnye granicy dlq dopolnitel'noj nastrojki whodnogo sajta kak podlinnogo ili fishingowogo. Klassifikator SVM stanowitsq medlennee, kogda razmer informacii stanowitsq bol'she, a urowen' tochnosti nizok. Algoritm Random Forest byl predlozhen dlq preodoleniq ätogo nedostatka. On mozhet klassificirowat' web-sajty kak zakonnye ili nezakonnye, a takzhe powysit' urowen' tochnosti. 72 pp. Russisch.

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 64 pp. Englisch.