Suthar Anilkumar (113 results)
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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: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | A…nbieter: preigu.
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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.
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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: p…reigu.
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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: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbie…ter: preigu.
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Implementación de la identificación de enfermedades de las hojas de las plantas agrícolas utilizando
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Published by Sciencia Scripts, 2021
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Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Rilevamento efficace dei volti grazie all'intelligenza artificiale | Anilkumar Suthar (u. a.) | Taschenbuch | Italienisch | 2023 | Edizioni Sapienza | EAN 9786205841938 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbiete…r: preigu.
Language: English
Published by LAP LAMBERT Academic Publishing Sep 2018, 2018
- Softcover
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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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 app…lications 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.
Language: English
Published by LAP LAMBERT Academic Publishing Sep 2018, 2018
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - 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. 52 pp. Englisch.
Language: English
Published by LAP LAMBERT Academic Publishing Nov 2021, 2021
- Softcover
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - 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 facto…r 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. 76 pp. Englisch.
Language: English
Published by LAP LAMBERT Academic Publishing Feb 2020, 2020
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - 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 t…hat 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 tac 64 pp. Englisch.
Language: English
Published by LAP LAMBERT Academic Publishing Aug 2018, 2018
- Softcover
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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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 ima…ging 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.
Published by Sciencia Scripts Mrz 2023, 2023
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - 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. O…no 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. 56 pp. Russisch.
