Patel Anilkumar (70 results)

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Paperback. Condition: Brand New. 68 pages. 8.66x5.91x0.16 inches. In Stock.

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Paperback. Condition: Brand New. 116 pages. 8.66x5.91x0.27 inches. In Stock.

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Paperback. Condition: Brand New. 96 pages. 8.66x5.91x0.22 inches. In Stock.

Taschenbuch. Condition: Neu. Effective Face Detection using Machine Intelligence | Anilkumar Suthar | Taschenbuch | 56 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9783330059238 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Paperback. Condition: Brand New. 108 pages. 8.66x5.91x0.25 inches. In Stock.

Taschenbuch. Condition: Neu. Anticancer Agent-I: Chemistry of Bifunctional DNA alkylating agents | Anilkumar Patel (u. a.) | Taschenbuch | 96 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786138268918 | 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. Chemistry of Michael Addition Reaction on Pyrazolone Derivatives | Anilkumar Patel (u. a.) | Taschenbuch | 96 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9783659550744 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Biomedical Image Processing consists many different types of imaging methods likes CT scans, X-Ray and MRI. These techniques allow humans to identify even the smallest abnormalities in the human body. The primary goal of medical imaging is to extract meaningful and accurate information from the images with the least error possible. MRI (Magnetic Resonance Imaging) is a medical technique, mainly used by the radiologist for visualization of internal structure of the human body. MRI provides useful information about the human soft tissue, which helps in the diagnosis of brain tumor. Image segmentation refers to partitioning of image into multiple regions or segments such that it can meaningfully represent the image through which information can be extracted. In this paper we are using Canny and SIFT techniques for segmentation of brain image considering shape and texture features. After that Support Vector Machine (SVM) is used to classify tumor and non-tumor regions. The performance of the proposed method is evaluated in terms of Sensitivity (Se), specificity (Sp), precision (Pr) and accuracy (Acc) and PSNR. 56 pp. Englisch. …

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In growing fast world facial recognition is quiet challenging as there are varieties of faces in the universe and the complexity of noises and backgrounds Face Recognition is one of the key areas under research. It has number of applications and uses. Many methods and algorithms are put forward. Face recognition comes under Bio metric identification like iris, retina, finger prints etc. The features of the face are called bio metric identifiers. The bio metric identifiers are not easily forged; misplaced or shared hence access through bio metric identifier gives us a better secure way to provide service and security. We can also develop many intelligent applications which may provide security and identity. We propose a work on facial Detection in which certain algorithms that are two stages Convolution Neural Network (CNN) and Support-Vector Machine are basically used for feature classification and the Convolution Neural Network (CNN) is feature extraction and by using this algorithm will try to provide accurate and effective Face Detection. 56 pp. Englisch.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 56 pp. Englisch.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -DNA targeted agents in Chemotherapy remains useful strategy for cancer treatment. This book dedicated to discuss the chemistry of DNA alkylating agents with potential anticancer application. Especially, bifunctional DNA alkylating Anticancer agents served an option to combat against cancer and warrant its further developments. The Content of the book will be useful to graduate, postgraduate and researchers for their professional development in this field. 96 pp. Englisch. …

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In growing fast world facial recognition is quiet challenging as there are varieties of faces in the universe and the complexity of noises and backgrounds Face Recognition is one of the key areas under research. It has number of applications and uses. Many methods and algorithms are put forward. Face recognition comes under Bio metric identification like iris, retina, finger prints etc. The features of the face are called bio metric identifiers. The bio metric identifiers are not easily forged; misplaced or shared hence access through bio metric identifier gives us a better secure way to provide service and security. We can also develop many intelligent applications which may provide security and identity. We propose a work on facial Detection in which certain algorithms that are two stages Convolution Neural Network (CNN) and Support-Vector Machine are basically used for feature classification and the Convolution Neural Network (CNN) is feature extraction and by using this algorithm will try to provide accurate and effective Face Detection.…

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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Biomedical Image Processing consists many different types of imaging methods likes CT scans, X-Ray and MRI. These techniques allow humans to identify even the smallest abnormalities in the human body. The primary goal of medical imaging is to extract meaningful and accurate information from the images with the least error possible. MRI (Magnetic Resonance Imaging) is a medical technique, mainly used by the radiologist for visualization of internal structure of the human body. MRI provides useful information about the human soft tissue, which helps in the diagnosis of brain tumor. Image segmentation refers to partitioning of image into multiple regions or segments such that it can meaningfully represent the image through which information can be extracted. In this paper we are using Canny and SIFT techniques for segmentation of brain image considering shape and texture features. After that Support Vector Machine (SVM) is used to classify tumor and non-tumor regions. The performance of the proposed method is evaluated in terms of Sensitivity (Se), specificity (Sp), precision (Pr) and accuracy (Acc) and PSNR.…