Suthar Anilkumar (109 results)

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Taschenbuch. Condition: Neu. Neuware -Agricultural domain plays the vital role in our daily life. Due to that, it is important to clear that measures are taken to detect and mitigate any diseases on agricultural plants leaf. Plant leaf disease are major problem or factor to losses on crop in agricultural framing. In this proposed system we have approach multiple classification step to eliminate possibilities of disease. We have approach YOLOv3 with pressing and data augmentation for extracting leaf as an input images and extracted the leaf through resnet50 based model and also flask server to define which category of leaf disease is it. We trained plant village dataset. Mainly used of dataset name are Tomato, Pepper bell, and Potato images from plant village dataset. In our proposed system, the classification is performed in multiple stages to eliminate possibilities at every stage, hence providing better accuracy during predictions. And also gives better accuracy than the existing algorithms.Books on Demand GmbH, Überseering 33, 22297 Hamburg 76 pp. Englisch.

Taschenbuch. Condition: Neu. Neuware -Global Positioning System (GPS) could be a navigation system using satellites that shows location and time data all told atmospheric condition to the user, orthogonal of position. GPS technology uses satellites and ground stations that has created a bearing on navigation and positioning desires of people. It's the flexibility to trace craft, cars, cell phones, boats and even people that become a reality. These all confer with out of doors navigation that¿s simply potential with the assistance of GPS navigation. However what if we wish to navigate in indoor environments To achieve correct Indoor Position, we tend to could use the thought of increased Reality. It has been associate degree upward trend between the demand for indoor positioning systems victimization Wi-Fi, Bluetooth low energy, and visual light-weight communication. Numerous centroid Localization Algorithms are used. During this paper, we've got discuss one among the centroid localization algorithms i.e. Weighted centroid Localization (WCL) rule victimization Received Signal Strength Indicator (RSSI) measured by nearby anchors nodes. The WCL is simulated in an exceedingly explicit setting and analyzed to tacBooks on Demand GmbH, Überseering 33, 22297 Hamburg 64 pp. Englisch.

Taschenbuch. Condition: Neu. 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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 56 pp. Englisch.

Taschenbuch. Condition: Neu. Neuware -Speaker Recognition is used for identification of a person depending on the characteristics contained in the speech signal. In this paper we propose the use of Deep Neural Network (DNN) for text dependent speaker Recognition system (SRS). Mel Frequency Cepstral Coefficients (MFCC) and Auto-encoder (Butterfly Structure Neural Network) are used to extract the features of speech signal at the initial stage. The previously obtained coefficients are then used to train the DNN to later classify the speakers. DNN can be directly used to extract features and classify speakers but the MFCC and Auto-encoder are used initially for data compression and maximum number of feature extraction thus aiming to get better efficiency and faster results.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch.

Taschenbuch. Condition: Neu. 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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 56 pp. Englisch.

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Taschenbuch. Condition: Neu. Text Dependent Speaker Recognition using Deep Neural Networks | Anilkumar Suthar | Taschenbuch | 52 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9783659921711 | 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. A location based indoor navigation system using augmented reality | Indoor navigation using augmented reality | Anilkumar Suthar (u. a.) | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786200533838 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

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: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Taschenbuch. Condition: Neu. Segmentation Based Brain Tumor Detection & Classification | Anilkumar Suthar | Taschenbuch | 56 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9783659514814 | 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. Implementation of Agricultural Plant Leaf Disease Identification Using | Anilkumar Suthar (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786204726069 | 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. Real Time Analysis of Digital Watermarking Techniques | Real Time Watermarking Gui | Anilkumar Suthar (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783847340874 | 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. Neuware -En un mundo cada vez más rápido, el reconocimiento facial es todo un reto, ya que hay una gran variedad de rostros en el universo y la complejidad de los ruidos y los fondos hace que el reconocimiento facial sea una de las principales áreas de investigación. Tiene numerosas aplicaciones y usos. Se han propuesto muchos métodos y algoritmos. El reconocimiento facial forma parte de la identificación biométrica, como el iris, la retina, las huellas dactilares, etc. Las características de la cara se denominan identificadores biométricos. Los identificadores biométricos no son fáciles de falsificar, extraviar o compartir, por lo que el acceso a través de un identificador biométrico nos ofrece una forma más segura de proporcionar servicios y seguridad. También podemos desarrollar muchas aplicaciones inteligentes que pueden proporcionar seguridad e identidad. Proponemos un trabajo sobre la detección facial en el que ciertos algoritmos que son dos etapas Convolution Neural Network (CNN) y Support-Vector Machine se utilizan básicamente para la clasificación de características y la Convolution Neural Network (CNN) es la extracción de características y mediante el uso de este algoritmo tratará de proporcionar una detección precisa y eficaz de la cara.Books on Demand GmbH, Überseering 33, 22297 Hamburg 56 pp. Spanisch.

Taschenbuch. Condition: Neu. Neuware -El ámbito agrícola desempeña un papel vital en nuestra vida diaria. Por ello, es importante que se tomen medidas para detectar y mitigar cualquier enfermedad en las hojas de las plantas agrícolas. Las enfermedades de las hojas de las plantas son el principal problema o factor de pérdidas en los cultivos en el marco de la agricultura. En este sistema propuesto tenemos un enfoque de clasificación múltiple para eliminar las posibilidades de la enfermedad. Nos hemos acercado a YOLOv3 con el prensado y el aumento de datos para extraer la hoja como imágenes de entrada y extraído la hoja a través del modelo basado en resnet50 y también el servidor de frascos para definir qué categoría de enfermedad de la hoja es. Entrenamos el conjunto de datos del pueblo de la planta. Los nombres de los conjuntos de datos utilizados principalmente son las imágenes de tomate, pimiento y patata del conjunto de datos del pueblo de las plantas. En nuestro sistema propuesto, la clasificación se realiza en múltiples etapas para eliminar las posibilidades en cada etapa, por lo que proporciona una mejor precisión durante las predicciones. Y también da una mejor precisión que los algoritmos existentes.Books on Demand GmbH, Überseering 33, 22297 Hamburg 84 pp. Spanisch.

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Taschenbuch. Condition: Neu. Neuware -Dans un monde en pleine expansion, la reconnaissance faciale est un véritable défi, car il existe une grande variété de visages dans l'univers et la complexité des bruits et des arrière-plans La reconnaissance faciale est l'un des principaux domaines de recherche. Elle a un certain nombre d'applications et d'utilisations. De nombreuses méthodes et algorithmes sont proposés. La reconnaissance des visages fait partie de l'identification bio métrique comme l'iris, la rétine, les empreintes digitales, etc. Les caractéristiques du visage sont appelées identifiants bio métriques. Les caractéristiques du visage sont appelées identificateurs bio métriques. Les identificateurs bio métriques ne sont pas faciles à falsifier, à égarer ou à partager ; l'accès par l'intermédiaire d'un identificateur bio métrique constitue donc un moyen plus sûr de fournir des services et d'assurer la sécurité. Nous pouvons également développer de nombreuses applications intelligentes qui peuvent assurer la sécurité et l'identité. Nous proposons un travail sur la détection des visages dans lequel certains algorithmes, à savoir le réseau neuronal à convolution (CNN) et la machine à vecteur de support, sont utilisés pour la classification des caractéristiques et le réseau neuronal à convolution (CNN) pour l'extraction des caractéristiques.Books on Demand GmbH, Überseering 33, 22297 Hamburg 56 pp. Französisch.

Taschenbuch. Condition: Neu. Neuware -Le domaine agricole joue un rôle vital dans notre vie quotidienne. Pour cette raison, il est important que des mesures soient prises pour détecter et atténuer les maladies des feuilles des plantes agricoles. Les maladies des feuilles des plantes sont un problème majeur ou un facteur de perte de récolte dans le domaine agricole. Dans ce système proposé, nous avons une approche de classification multiple pour éliminer les possibilités de maladie. Nous avons abordé YOLOv3 avec le pressage et l'augmentation des données pour extraire les feuilles comme images d'entrée et extrait les feuilles à travers le modèle basé sur Resnet50 et aussi le serveur Flask pour définir la catégorie de maladie des feuilles. Nous avons formé un ensemble de données sur les villages de plantes. Les images de tomates, de poivrons et de pommes de terre sont principalement utilisées dans ce jeu de données. Dans le système que nous proposons, la classification est effectuée en plusieurs étapes pour éliminer les possibilités à chaque étape, ce qui permet d'obtenir une meilleure précision lors des prédictions. Et donne également une meilleure précision que les algorithmes existants.Books on Demand GmbH, Überseering 33, 22297 Hamburg 84 pp. Französisch.

Taschenbuch. Condition: Neu. Neuware -V bystro razwiwaüschemsq mire raspoznawanie lic qwlqetsq slozhnoj zadachej, poskol'ku wo wselennoj suschestwuet mnozhestwo lic, a takzhe slozhnost' shumow i fona Raspoznawanie lic qwlqetsq odnoj iz klüchewyh oblastej issledowanij. Ono imeet mnozhestwo primenenij i sposobow ispol'zowaniq. Predlozheno mnozhestwo metodow i algoritmow. Raspoznawanie lic otnositsq k biometricheskoj identifikacii, kak raduzhnaq obolochka glaza, setchatka glaza, otpechatki pal'cew i t.d. Osobennosti lica nazywaütsq biometricheskimi identifikatorami. Biometricheskie identifikatory nelegko poddelat', pereputat' ili razdelit', poätomu dostup s pomosch'ü biometricheskogo identifikatora daet nam bolee nadezhnyj sposob predostawleniq uslug i obespecheniq bezopasnosti. My takzhe mozhem razrabotat' mnozhestwo intellektual'nyh prilozhenij, kotorye mogut obespechit' bezopasnost' i identifikaciü. My predlagaem rabotu po obnaruzheniü lic, w kotoroj opredelennye algoritmy, kotorye qwlqütsq dwumq ätapami Konwolücionnaq nejronnaq set' (CNN) i Support-Vector Machine, w osnownom ispol'zuütsq dlq klassifikacii priznakow, a Konwolücionnaq nejronnaq set' (CNN) - dlq izwlecheniq priznakow, i s pomosch'ü ätogo algoritma my popytaemsq obespechit' tochnoe i äffektiwnoe obnaruzhenie lic.Books on Demand GmbH, Überseering 33, 22297 Hamburg 56 pp. Russisch.