suresh chalumuru (21 resultados)

Condición: New.

Taschenbuch. Condición: Neu. Neuware -Most of the people in India are dependent on agriculture. The growth of crops mainly relies upon climatic conditions, water quality, and soil moisture. In recent years, the crop yield has been decreased due to the occurrence of diseases because of variations in the climatic conditions. The proposed system uses the Internet of Things and machine learning techniques to predict plant disease. Climate and water data is obtained with the help of sensors and is sent to the ThingSpeak cloud and this data is extracted and utilized for predicting the plant disease.Books on Demand GmbH, Überseering 33, 22297 Hamburg 80 pp. Englisch.

Taschenbuch. Condición: Neu. Neuware -Dengue is one of the common infectious diseases which is caused by the dengue virus and transmitted to humans by mosquitoes with this many are infected in varied regions around the world per year. The reason for this virus is atmospheric conditions, which play a vital role in the outbreak of dengue. Therefore early prediction of dengue is the key to regulate outbreaks and reduces the transmission within the community. To overcome this we are using various machine learning (ML) algorithms such as Support Vector Machine (SVM), Artificial Neural Network (ANN), Random Forest tree (RF), and Decision Tree (DT) are used to predict the dengue outbreak. Prediction is done based on weather parameters like monthly wise maximum temperature, minimum temperature, average temperature, mean temperature, humidity, and Precipitation which is considered as weather dataset and this weather dataset is pre-processed using label encoding function before applying into the training models. The performances of all the models are calculated based on weather datasets.Books on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Englisch.

Condición: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Dengue is one of the common infectious diseases which is caused by the dengue virus and transmitted to humans by mosquitoes with this many are infected in varied regions around the world per year. The reason for this virus is atmospheric conditions, which play a vital role in the outbreak of dengue. Therefore early prediction of dengue is the key to regulate outbreaks and reduces the transmission within the community. To overcome this we are using various machine learning (ML) algorithms such as Support Vector Machine (SVM), Artificial Neural Network (ANN), Random Forest tree (RF), and Decision Tree (DT) are used to predict the dengue outbreak. Prediction is done based on weather parameters like monthly wise maximum temperature, minimum temperature, average temperature, mean temperature, humidity, and Precipitation which is considered as weather dataset and this weather dataset is pre-processed using label encoding function before applying into the training models. The performances of all the models are calculated based on weather datasets.

Condición: New.

Condición: New.

paperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condición: New.

Condición: New.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Most of the people in India are dependent on agriculture. The growth of crops mainly relies upon climatic conditions, water quality, and soil moisture. In recent years, the crop yield has been decreased due to the occurrence of diseases because of variations in the climatic conditions. The proposed system uses the Internet of Things and machine learning techniques to predict plant disease. Climate and water data is obtained with the help of sensors and is sent to the ThingSpeak cloud and this data is extracted and utilized for predicting the plant disease. 80 pp. Englisch.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Dengue is one of the common infectious diseases which is caused by the dengue virus and transmitted to humans by mosquitoes with this many are infected in varied regions around the world per year. The reason for this virus is atmospheric conditions, which play a vital role in the outbreak of dengue. Therefore early prediction of dengue is the key to regulate outbreaks and reduces the transmission within the community. To overcome this we are using various machine learning (ML) algorithms such as Support Vector Machine (SVM), Artificial Neural Network (ANN), Random Forest tree (RF), and Decision Tree (DT) are used to predict the dengue outbreak. Prediction is done based on weather parameters like monthly wise maximum temperature, minimum temperature, average temperature, mean temperature, humidity, and Precipitation which is considered as weather dataset and this weather dataset is pre-processed using label encoding function before applying into the training models. The performances of all the models are calculated based on weather datasets. 68 pp. Englisch.

Condición: New. PRINT ON DEMAND.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Suresh ChalumuruDr. Chalumuru Suresh, currently working as Assistant Professor in the Department of CSE at VNR Vignana Jyothi Institute of Engineering and Technology. Dr. Satish Thatavarthi, currently working as a Professor in the.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Suresh ChalumuruDr. Chalumuru Suresh, currently working as an Assistant Professor in the Department of CSE at VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad. Dr. Satish Thatavarthi, Currently Working as a Profe.

Condición: New. Print on Demand.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kiranmayee B.V.Dr B.V.Kiranmayee, currently working as Associate Professor in the Dept of Computer Science and Engineering,VNRVJIET, affiliated to Jawaharlal Nehru Technological University Hyderabad. Dr. Chalumuru Suresh, currently w.

Condición: New. PRINT ON DEMAND.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Dengue is one of the common infectious diseases which is caused by the dengue virus and transmitted to humans by mosquitoes with this many are infected in varied regions around the world per year. The reason for this virus is atmospheric conditions, which play a vital role in the outbreak of dengue. Therefore early prediction of dengue is the key to regulate outbreaks and reduces the transmission within the community. To overcome this we are using various machine learning (ML) algorithms such as Support Vector Machine (SVM), Artificial Neural Network (ANN), Random Forest tree (RF), and Decision Tree (DT) are used to predict the dengue outbreak. Prediction is done based on weather parameters like monthly wise maximum temperature, minimum temperature, average temperature, mean temperature, humidity, and Precipitation which is considered as weather dataset and this weather dataset is pre-processed using label encoding function before applying into the training models. The performances of all the models are calculated based on weather datasets.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Most of the people in India are dependent on agriculture. The growth of crops mainly relies upon climatic conditions, water quality, and soil moisture. In recent years, the crop yield has been decreased due to the occurrence of diseases because of variations in the climatic conditions. The proposed system uses the Internet of Things and machine learning techniques to predict plant disease. Climate and water data is obtained with the help of sensors and is sent to the ThingSpeak cloud and this data is extracted and utilized for predicting the plant disease.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. &Uumlber den AutorrnrnD-r B.V.Kiranmayee, w nastoqschee wremq rabotaet docentom na kafedre komp ueternyh nauk i inzhenerii VNRVJIET, affilirowannoj s Tehnologicheskim uniwersitetom Dzhawaharlala Neru w Hajdarabade. Doktor Chalumuru Suresh, w nas.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Brustkrebs ist eine schreckliche Krankheit, die nach Hautkrebs am haeufigsten bei Frauen auftritt und eine der Hauptursachen fuer den Anstieg der Sterblichkeitsrate ist. Die Screening-Mammographie ist das operative Verfahren zur Erkennung von Massen und Anoma.