Chalumuru Suresh (27 results)

Condition: New.

Condition: New.

Taschenbuch. Condition: Neu. Rice Plant Diseases Detection Using IoT & Machine Learning | Machine Learning and IoT | Chalumuru Suresh (u. a.) | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202918381 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Taschenbuch. Condition: Neu. Prediction of Epidemic Diseases Using Machine Learning Algorithms | Machine Learning | Chalumuru Suresh (u. a.) | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9783330008861 | 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.

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

Condition: New.

Condition: New.

Taschenbuch. Condition: 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. Condition: 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.…

Condition: New. Print on Demand.

Condition: New. PRINT ON DEMAND.

Condition: 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. …

Kartoniert / Broschiert. Condition: 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.…

Taschenbuch. Condition: 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.…

Condition: New. Print on Demand.

Kartoniert / Broschiert. Condition: 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.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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.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 - Breast cancer is horrendous disease after skin cancer which is most common in woman and it is a foremost cause for the upsurge in mortality rate. Screening mammography is the operative procedure for detecting masses and abnormalities allied to breast cancer. Digital mammograms are utmost operative source that helps in early detection of cancer in women with no symptoms and diagnose cancer in women with symptoms like pain in lump, nipple discharge which diminutions deaths and upsurges chances of survival. Usually clinician cannot spare more time on a patient to weigh the complaints and suggest a possible diagnosis by considering past records.During this stage, there is more chance to medical errors and wrong diagnosis. By using machine learning in diagnosing breast cancer improves accuracy by reducing misclassifications and saves time in diagnosing. The proposed work is instinctive classification of mammogram images as Benign, Malignant and Normal using various machine learning algorithms. Classification is an identification technique used to classify consolidated data into different categories.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Rak molochnoj zhelezy - strashnoe zabolewanie posle raka kozhi, naibolee chasto wstrechaüscheesq u zhenschin i qwlqüscheesq osnownoj prichinoj rosta smertnosti. Skriningowaq mammografiq - äto operatiwnaq procedura dlq wyqwleniq obrazowanij i anomalij, swqzannyh s rakom molochnoj zhelezy. Cifrowye mammografy qwlqütsq samym operatiwnym istochnikom, kotoryj pomogaet w rannem wyqwlenii raka u zhenschin bez simptomow i diagnostike raka u zhenschin s takimi simptomami, kak bol' w oblasti uplotneniq, wydeleniq iz soska, chto snizhaet smertnost' i powyshaet shansy na wyzhiwanie. Obychno wrach ne mozhet udelit' pacientu bol'she wremeni, chtoby wzwesit' zhaloby i predlozhit' wozmozhnyj diagnoz, uchitywaq proshlye zapisi. Na ätom ätape suschestwuet bol'shaq weroqtnost' wrachebnyh oshibok i neprawil'nogo diagnoza. Ispol'zowanie mashinnogo obucheniq w diagnostike raka molochnoj zhelezy powyshaet tochnost' za schet umen'sheniq oshibochnyh klassifikacij i äkonomit wremq diagnostiki. Predlagaemaq rabota predstawlqet soboj instinktiwnuü klassifikaciü izobrazhenij mammogrammy kak dobrokachestwennyh, zlokachestwennyh i normal'nyh s ispol'zowaniem razlichnyh algoritmow mashinnogo obucheniq. Klassifikaciq - äto metod identifikacii, ispol'zuemyj dlq otneseniq ob#edinennyh dannyh k razlichnym kategoriqm.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - El cáncer de mama es una enfermedad horrenda, después del cáncer de piel, que es la más común en la mujer y es la causa principal del aumento de la tasa de mortalidad. La mamografía de cribado es el procedimiento operativo para detectar masas y anomalías relacionadas con el cáncer de mama. Las mamografías digitales son la fuente más operativa que ayuda a la detección temprana del cáncer en mujeres sin síntomas y a diagnosticar el cáncer en mujeres con síntomas como dolor en el bulto, secreción del pezón, lo que disminuye las muertes y aumenta las posibilidades de supervivencia. Por lo general, el médico no puede dedicar más tiempo a un paciente para sopesar las quejas y sugerir un posible diagnóstico teniendo en cuenta los registros anteriores. El uso del aprendizaje automático en el diagnóstico del cáncer de mama mejora la precisión al reducir las clasificaciones erróneas y ahorra tiempo en el diagnóstico. El trabajo propuesto es la clasificación instintiva de las imágenes de mamografía como benignas, malignas y normales utilizando varios algoritmos de aprendizaje automático. La clasificación es una técnica de identificación utilizada para clasificar datos consolidados en diferentes categorías.…

Condition: 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.…

Condition: 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.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Il cancro al seno è una malattia orrenda dopo il cancro della pelle che è più comune nella donna ed è una delle cause principali dell'aumento del tasso di mortalità. La mammografia di screening è la procedura operativa per individuare le masse e le anomalie legate al cancro al seno. Le mammografie digitali sono la fonte operativa più importante che aiuta a individuare precocemente il cancro nelle donne senza sintomi e a diagnosticare il cancro nelle donne con sintomi come il dolore nel nodulo, lo scarico del capezzolo che diminuisce le morti e aumenta le possibilità di sopravvivenza. Di solito il medico non può dedicare più tempo a un paziente per soppesare i reclami e suggerire una possibile diagnosi prendendo in considerazione i dati precedenti; durante questa fase, c'è più possibilità di errori medici e diagnosi sbagliate. Utilizzando l'apprendimento automatico nella diagnosi del cancro al seno si migliora l'accuratezza riducendo gli errori di classificazione e si risparmia tempo nella diagnosi. Il lavoro proposto è la classificazione istintiva delle immagini mammografiche come benigno, maligno e normale utilizzando vari algoritmi di apprendimento automatico. La classificazione è una tecnica di identificazione utilizzata per classificare i dati consolidati in diverse categorie.…