Pravin kshirsagar (28 Ergebnisse)

Zustand: New.

Zustand: New. pp. 104.

Zustand: New.

Paperback. Zustand: Brand New. 104 pages. 8.66x5.91x0.24 inches. In Stock.

Taschenbuch. Zustand: Neu. Brain Tumor Classification and Detection using Neural Network | Pravin Kshirsagar (u. a.) | Taschenbuch | 104 S. | Englisch | 2017 | Scholars' Press | EAN 9783330651050 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Taschenbuch. Zustand: Neu. Biomedical Signal Processing : Soft Computing Techniques | Pravin R. Kshirsagar (u. a.) | Taschenbuch | 160 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786137340165 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Zustand: New.

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

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

PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Brain Tumor is one of the most harmful Neurological Disorder. This Neurological Disorder must have accurate detection and early particular treatment which helps to reduce its harmful effect on human body. Now a days the process or technique which is used for the diagnosis or detection of Brain Tumor is really a very time consuming process and there may be chances of human error. In order to reduce the time and human error Neural Network is used for detection and classification of Brain tumor. 104 pp. Englisch. …

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book proposes two novel algorithms for function classification and prediction that extends a three layered Feed Forward Neural Network (FFNN) and the standard Generalized Regression Neural Network (GRNN).In this book genetic algorithm(GA) is used inside the particle swarm optimization(PSO) algorithm to bring the worst particle in PSO search space nearer to the food. This helps in faster convergence of PSO algorithm and the possibility of the algorithm to get stuck at the local minima is eliminated.The detailed analysis of results and comparisons show that the proposed algorithms have effectively improved the performance of a neural network as a classifier and predictor and obtained the better accuracy with minimum mean square error than the non optimized neural networks. 160 pp. Englisch.…

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kshirsagar PravinPravin R. Kshirsagar is currently working as an Assistant Professor at S.B. Jain Institute of Technology, Management and Research, Nagpur, Maharashtra, India.Brain Tumor is one of the most harmful Neurological Di. …

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: R. Kshirsagar PravinDr. Pravin R. Kshirsagar, Associate Professor, ETC Department,at GHRECM, Pune (M.S),India.Dr. Sudhir G. Akojwar, Associate Professor, Head, Department of Electronics and Telecommunication Engineering, at Governmen.…

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Brain Tumor is one of the most harmful Neurological Disorder. This Neurological Disorder must have accurate detection and early particular treatment which helps to reduce its harmful effect on human body. Now a days the process or technique which is used for the diagnosis or detection of Brain Tumor is really a very time consuming process and there may be chances of human error. In order to reduce the time and human error Neural Network is used for detection and classification of Brain tumor.…

Zustand: New. Print on Demand pp. 104.

Zustand: New. PRINT ON DEMAND pp. 104.

Zustand: New. Print on Demand.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: A. Chavan SalimDr.Salim A. Chavan working as a professor, Principal of Waingainga college of engineering,Nagpur.Dr. Sudhir G. Akojwar working as an Associate professor, Head of ETC Department at Government college of Engineering,Chan.…

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Chandraprakash D.1.Dr. D. Chandraprakash working as an Associate Professor in K.G Reddy College of Engineering and Technology, Hyderabad.2. Dr. Pravin Kshirsagar currently working as a Professor and Head ECE in K.G. Reddy College of .…

Zustand: New. PRINT ON DEMAND.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Brain Tumor is one of the most harmful Neurological Disorder. This Neurological Disorder must have accurate detection and early particular treatment which helps to reduce its harmful effect on human body. Now a days the process or technique which is used for the diagnosis or detection of Brain Tumor is really a very time consuming process and there may be chances of human error. In order to reduce the time and human error Neural Network is used for detection and classification of Brain tumor.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch.…

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book proposes two novel algorithms for function classification and prediction that extends a three layered Feed Forward Neural Network (FFNN) and the standard Generalized Regression Neural Network (GRNN).In this book genetic algorithm(GA) is used inside the particle swarm optimization(PSO) algorithm to bring the worst particle in PSO search space nearer to the food. This helps in faster convergence of PSO algorithm and the possibility of the algorithm to get stuck at the local minima is eliminated.The detailed analysis of results and comparisons show that the proposed algorithms have effectively improved the performance of a neural network as a classifier and predictor and obtained the better accuracy with minimum mean square error than the non optimized neural networks.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 160 pp. Englisch.…

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Satellite captures thousand of images everyday but all of them are not useful to us and only some of the images are utilized for our need. The challenging task in this project is to retrieve the useful image from the satellite image database which is done by various techniques. Content based image retrieval is the important tool to search the necessary image from the satellite database which is similar to the query image using 2 feature techniques namely shape features and text features respectively. Generally, different cloud images having different shapes based on the weather condition. In chapter 3, the rainfall is estimated using shape features in CBIR which is based on the shape of the cloud image captured from the satellite. In chapter 4, it describes the retrieval of satellite images from the satellite database. It allows the user to search the image from the database based on the texture feature. Texture features are estimated using Gray level Co-occurrence Matrix and the Euclidean distance metric is estimated for the similarity between the satellite images. The system performance is estimated by analyzing the retrieval result using precision.…

Zustand: New. Print on Demand.

Zustand: New. PRINT ON DEMAND.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - AI-powered applications have developed and adjusted to alter the healthcare sector by lowering costs, enhancing patient outcomes, and raising overall productivity. Artificial intelligence is revolutionizing-and strengthening-modern healthcare through technologies that can predict, grasp, learn, and act, whether it's employed to identify new relationships between genetic codes or to control surgery-assisting robots. It can detect minor patterns that humans would completely overlook. This research study explores and discusses the various modern applications of AI in the health sector. Particularly, the study focuses on five of the most emerging areas of AI-powered healthcare: AI-led medical image analysis for brain tumor diseases, image analysis of lung cancer, image analysis of heart diseases, analysis of health parameters for predicting diabetes, and image analysis for breast cancer detection, which helps in clinical trials and patient care. Artificial intelligence (AI) can also help to eliminate time-consuming data monitoring methods. The findings also indicate that AI-assisted clinical trials are capable of handling massive volumes of data and producing highly accurate results.…