Kumar Kanagala Sateesh (61 results)

Condition: New.

Taschenbuch. Condition: Neu. STOCK PRICE PREDICTION USING TIME SERIES | Kanagala Sateesh Kumar | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206781806 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Condition: New.

Taschenbuch. Condition: Neu. Advanced Image Processing Techniques for Remote Sensing Applications | A Systematic Approach to Estimate Crop Yield using NOAA/Landsat 8 Satellites Data Through Denoising and Enhancement | Kanagala Sateesh Kumar (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206781790 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Condition: New.

Condition: New.

Taschenbuch. Condition: Neu. PRÉDICTION DU PRIX DES ACTIONS À L'AIDE DE SÉRIES CHRONOLOGIQUES | Kanagala Sateesh Kumar | Taschenbuch | Französisch | 2023 | Editions Notre Savoir | EAN 9786206450573 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Condition: New.

Taschenbuch. Condition: Neu. Techniques avancées de traitement d'images pour les applications de télédétection | Kanagala Sateesh Kumar (u. a.) | Taschenbuch | Französisch | 2023 | Editions Notre Savoir | EAN 9786206552529 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Condition: New.

Taschenbuch. Condition: Neu. PREVISÃO DO PREÇO DAS ACÇÕES UTILIZANDO SÉRIES CRONOLÓGICAS | Kanagala Sateesh Kumar | Taschenbuch | Portugiesisch | 2023 | Edições Nosso Conhecimento | EAN 9786206450597 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condition: Neu. PREVISIONE DEL PREZZO DELLE AZIONI UTILIZZANDO LE SERIE TEMPORALI | Kanagala Sateesh Kumar | Taschenbuch | Italienisch | 2023 | Edizioni Sapienza | EAN 9786206450610 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Condition: New.

Taschenbuch. Condition: Neu. VORHERSAGE VON AKTIENKURSEN ANHAND VON ZEITREIHEN | Kanagala Sateesh Kumar | Taschenbuch | 60 S. | Deutsch | 2023 | Verlag Unser Wissen | EAN 9786206450566 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Taschenbuch. Condition: Neu. Técnicas avançadas de processamento de imagens para aplicações de deteção remota | Kanagala Sateesh Kumar (u. a.) | Taschenbuch | Portugiesisch | 2023 | Edições Nosso Conhecimento | EAN 9786206552543 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condition: Neu. Tecniche avanzate di elaborazione delle immagini per applicazioni di telerilevamento | Kanagala Sateesh Kumar (u. a.) | Taschenbuch | Italienisch | 2023 | Edizioni Sapienza | EAN 9786206552536 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condition: Neu. Fortgeschrittene Bildverarbeitungstechniken für Fernerkundungsanwendungen | Kanagala Sateesh Kumar (u. a.) | Taschenbuch | 168 S. | Deutsch | 2023 | Verlag Unser Wissen | EAN 9786206552505 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The ARIMA model and the EXPONENTIAL SMOOTHING model for stock price prediction were given in this book. Each algorithm identifies the stock data set of all five institutions, according to the evaluations of these two models. The ARIMA model test results showed that it can reliably predict stock prices in the short term. This can lead to beneficial investment decisions for stock market speculators. The ARIMA model may be ready to compete with other short-term prediction models based on the findings obtained. A wide range of frequency values can be used using exponential smoothing. The Exponential smoothing approach was chosen for a single time series that followed a pattern in terms of order selection. There are many well-known time series techniques in the ARIMA. The design section of ARIMA was critical, delivering a nearly straight line. 68 pp. Englisch.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -En este libro se presentan el modelo ARIMA y el modelo EXPONENTIAL SMOOTHING para la predicción del precio de las acciones. Cada algoritmo identifica el conjunto de datos bursátiles de las cinco instituciones, según las evaluaciones de estos dos modelos. Los resultados de las pruebas del modelo ARIMA mostraron que puede predecir con fiabilidad los precios de las acciones a corto plazo. Esto puede conducir a decisiones de inversión beneficiosas para los especuladores bursátiles. El modelo ARIMA puede estar preparado para competir con otros modelos de predicción a corto plazo en función de los resultados obtenidos. Se puede utilizar una amplia gama de valores de frecuencia utilizando el suavizado exponencial. El enfoque de suavizado exponencial se eligió para una única serie temporal que seguía un patrón en términos de selección de orden. Hay muchas técnicas de series temporales bien conocidas en el ARIMA. La sección de diseño de ARIMA fue crítica, ya que ofrecía una línea casi recta. 60 pp. Spanisch.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The ARIMA model and the EXPONENTIAL SMOOTHING model for stock price prediction were given in this book. Each algorithm identifies the stock data set of all five institutions, according to the evaluations of these two models. The ARIMA model test results sho.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Le modèle ARIMA et le modèle EXPONENTIAL SMOOTHING pour la prédiction des cours boursiers ont été présentés dans ce livre. Chaque algorithme identifie l'ensemble des données boursières des cinq institutions, en fonction des évaluations de ces deux modèles. Les résultats des tests du modèle ARIMA ont montré qu'il peut prédire de manière fiable les prix des actions à court terme. Cela peut conduire à des décisions d'investissement bénéfiques pour les spéculateurs du marché boursier. Sur la base des résultats obtenus, le modèle ARIMA peut être prêt à concurrencer d'autres modèles de prévision à court terme. Le lissage exponentiel permet d'utiliser une large gamme de valeurs de fréquence. L'approche du lissage exponentiel a été choisie pour une série temporelle unique qui suivait un modèle en termes de sélection de l'ordre. Il existe de nombreuses techniques de séries temporelles bien connues dans l'ARIMA. La section de conception de l'ARIMA s'est avérée critique, fournissant une ligne presque droite. 60 pp. Französisch.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The main objective of this book is to propose a systematic approach to estimate crop yield (Paddy, Groundnut) for remote sensing applications using NOAA and Landsat 8 satellite images. In general the received imagery are noisy in nature. So, to tackle this issue spatial and frequency domain based denoising techniques were proposed and discussed in detail by implemented on both NOAA and Landsat 8 images. After this, In this book, empirical crop yield estimation models are proposed for both NOAA and Landsat 8 satellite data to estimate crop yields of both Paddy, groundnut with remote sensing images and meteorological parameters. By this, it can be said that this research work can be used as a secondary opinion in the estimation of crop yield over the study area. 168 pp. Englisch.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The ARIMA model and the EXPONENTIAL SMOOTHING model for stock price prediction were given in this book. Each algorithm identifies the stock data set of all five institutions, according to the evaluations of these two models. The ARIMA model test results showed that it can reliably predict stock prices in the short term. This can lead to beneficial investment decisions for stock market speculators. The ARIMA model may be ready to compete with other short-term prediction models based on the findings obtained. A wide range of frequency values can be used using exponential smoothing. The Exponential smoothing approach was chosen for a single time series that followed a pattern in terms of order selection. There are many well-known time series techniques in the ARIMA. The design section of ARIMA was critical, delivering a nearly straight line.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch.

Condition: New. Print on Demand.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The ARIMA model and the EXPONENTIAL SMOOTHING model for stock price prediction were given in this book. Each algorithm identifies the stock data set of all five institutions, according to the evaluations of these two models. The ARIMA model test results showed that it can reliably predict stock prices in the short term. This can lead to beneficial investment decisions for stock market speculators. The ARIMA model may be ready to compete with other short-term prediction models based on the findings obtained. A wide range of frequency values can be used using exponential smoothing. The Exponential smoothing approach was chosen for a single time series that followed a pattern in terms of order selection. There are many well-known time series techniques in the ARIMA. The design section of ARIMA was critical, delivering a nearly straight line.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kumar Kanagala SateeshK Sateesh Kumar, working as an Assistant Professor in SNIST, Hyderabad. His interested areas are Digital Image Processing, Remote Sensing and Machine Learning etc. Prof. G. Sreenivasulu, working as Professor in .

Condition: New. PRINT ON DEMAND.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The main objective of this book is to propose a systematic approach to estimate crop yield (Paddy, Groundnut) for remote sensing applications using NOAA and Landsat 8 satellite images. In general the received imagery are noisy in nature. So, to tackle this issue spatial and frequency domain based denoising techniques were proposed and discussed in detail by implemented on both NOAA and Landsat 8 images. After this, In this book, empirical crop yield estimation models are proposed for both NOAA and Landsat 8 satellite data to estimate crop yields of both Paddy, groundnut with remote sensing images and meteorological parameters. By this, it can be said that this research work can be used as a secondary opinion in the estimation of crop yield over the study area.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 168 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The main objective of this book is to propose a systematic approach to estimate crop yield (Paddy, Groundnut) for remote sensing applications using NOAA and Landsat 8 satellite images. In general the received imagery are noisy in nature. So, to tackle this issue spatial and frequency domain based denoising techniques were proposed and discussed in detail by implemented on both NOAA and Landsat 8 images. After this, In this book, empirical crop yield estimation models are proposed for both NOAA and Landsat 8 satellite data to estimate crop yields of both Paddy, groundnut with remote sensing images and meteorological parameters. By this, it can be said that this research work can be used as a secondary opinion in the estimation of crop yield over the study area.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -El objetivo principal de este libro es proponer un enfoque sistemático para estimar el rendimiento de los cultivos (arroz, cacahuete) para aplicaciones de teledetección utilizando imágenes de satélite NOAA y Landsat 8. En general, las imágenes recibidas son ruidosas por naturaleza. Por lo tanto, para hacer frente a este problema, se propusieron técnicas de eliminación de ruido basadas en el dominio espacial y de frecuencia, que se analizaron en detalle y se aplicaron a las imágenes de los satélites NOAA y Landsat 8. En este libro se proponen modelos empíricos de estimación del rendimiento de los cultivos para los datos de los satélites NOAA y Landsat 8, con el fin de estimar el rendimiento de los cultivos de arroz y cacahuete mediante imágenes de teledetección y parámetros meteorológicos. De este modo, puede decirse que este trabajo de investigación puede utilizarse como opinión secundaria en la estimación del rendimiento de los cultivos en la zona de estudio. 168 pp. Spanisch.