Chithaluru premkumar (29 résultats)

HRD. Etat : Used - Very Good. Used - Like New Book. Shipped from UK. Established seller since 2000.

Etat : New. pp. 148.

Etat : New. Rohit Tanwar, PhD (Kurukshetra University, Kurukshetra, India) is an assistant professor in the School of Computer Science at UPES Dehradun, India.S. Balamurugan, PhD, SMIEEE, ACM Distinguished Speaker, received his PhD from Anna University, India. He has p.

Buch. Etat : Neu. Neuware - Dieses Werk, das sich umfassend mit der Einführung von maschinellem Lernen, KI und dem IoT im Gesundheitswesen beschäftigt, richtet sich an Forschende, Fachkräfte im Gesundheitswesen, Wissenschaftler und Technologen.Die Nutzung von maschinellem Lernen und künstlicher Intelligenz im Internet der Dinge (IoT) für Anwendungen im Gesundheitswesen sowie die damit einhergehenden Herausforderungen werden ausführlich erörtert.Das IoT erzeugt gewaltige Datenmengen von unterschiedlicher Qualität. Die intelligente Verarbeitung und Analyse dieser Datenmengen sind der Schlüssel zur Entwicklung intelligenter IoT-Anwendungen, wodurch Raum für die Nutzung des maschinellen Lernens (ML) geschaffen wird. Mit ihren Recheninstrumenten, die bei der Erledigung bestimmter Aufgaben die menschliche Intelligenz ersetzen können, macht es die künstliche Intelligenz (KI) möglich, dass Computer aus Erfahrung lernen, sich an neue Eingaben anpassen und bisher von Menschen durchgeführte Aufgaben übernehmen. Da IoT-Plattformen eine Schnittstelle bieten, um Daten von unterschiedlichen Geräten zusammenzutragen, lassen sie sich leicht mit AI/ML-Systemen verbinden. Vor diesen Hintergrund besteht der Wert der KI in ihrer Fähigkeit, schnell Erkenntnisse aus Daten zu gewinnen, automatisch Muster zu erkennen und Anomalien in den von intelligenten Sensoren und Geräten erzeugten Daten zu erkennen aus Angaben zu Temperatur, Druck, Luftfeuchtigkeit, Luftqualität, Schwingungen und Geräuschen die für eine schnelle Diagnose extrem hilfreich sein können.…

Taschenbuch. Etat : Neu. A Method for Automatic accurate Image Registration and translation | A Method for Automatic accurate Image Registration Through Histogram-Based Image Segmentation and Translation | Premkumar Chithaluru (u. a.) | Taschenbuch | 148 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659443213 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Hardcover. Etat : new. Hardcover. ADVANCED HEALTHCARE SYSTEMS This book offers a complete package involving the incubation of machine learning, AI, and IoT in healthcare that is beneficial for researchers, healthcare professionals, scientists, and technologists. The applications and challenges of machine learning and artificial intelligence in the Internet of Things (IoT) for healthcare applications are comprehensively covered in this book. IoT generates big data of varying data quality; intelligent processing and analysis of this big data are the keys to developing smart IoT applications, thereby making space for machine learning (ML) applications. Due to its computational tools that can substitute for human intelligence in the performance of certain tasks, artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Since IoT platforms provide an interface to gather data from various devices, they can easily be deployed into AI/ML systems. The value of AI in this context is its ability to quickly mesh insights from data and automatically identify patterns and detect anomalies in the data that smart sensors and devices generateinformation such as temperature, pressure, humidity, air quality, vibration, and soundthat can be really helpful to rapid diagnosis. Audience This book will be of interest to researchers in artificial intelligence, the Internet of Things, machine learning as well as information technologists working in the healthcare sector. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Etat : New. 2022. 1st Edition. Hardcover. . . . . .

Hardcover. Etat : new. Hardcover. ADVANCED HEALTHCARE SYSTEMS This book offers a complete package involving the incubation of machine learning, AI, and IoT in healthcare that is beneficial for researchers, healthcare professionals, scientists, and technologists. The applications and challenges of machine learning and artificial intelligence in the Internet of Things (IoT) for healthcare applications are comprehensively covered in this book. IoT generates big data of varying data quality; intelligent processing and analysis of this big data are the keys to developing smart IoT applications, thereby making space for machine learning (ML) applications. Due to its computational tools that can substitute for human intelligence in the performance of certain tasks, artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Since IoT platforms provide an interface to gather data from various devices, they can easily be deployed into AI/ML systems. The value of AI in this context is its ability to quickly mesh insights from data and automatically identify patterns and detect anomalies in the data that smart sensors and devices generateinformation such as temperature, pressure, humidity, air quality, vibration, and soundthat can be really helpful to rapid diagnosis. Audience This book will be of interest to researchers in artificial intelligence, the Internet of Things, machine learning as well as information technologists working in the healthcare sector. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

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Hardcover. Etat : Brand New. 500 pages. 9.00x6.00x1.06 inches. In Stock.

Etat : New. 2022. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Automatic image registration is still present challenge in several fields like computer vision and remote sensing applications. Image registration is the process of transforming different sets of data into one coordinate system. In this paper, we propose a method for Automatic accurate Image Registration through Histogram-Based Image Segmentation and translation (delineation) using Wiener filtering which allows for a more detailed histogram-based segmentation, rather than the traditional methods, and consequently to an accurate image registration. Proposed system is able to estimate the rotation and/or translation between two images- which may be multitemporal or multisensor-with small differences in the spectral content. The first dataset consists in a photograph and a rotated and shifted version of the same photograph, with different levels of added noise. This allows for the registration of pairs of images with differences in rotation and translation. Various applications of image registration are target recognition, monitoring global land usage using satellite images, matching stereo images to recover shape for navigation, and aligning images from different medical modalities 148 pp. Englisch.…

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Chithaluru PremkumarPremkumar Ch,M.Tech projectAutomatic image registration is still present challenge in several fields like computer vision and remote sensing applications. Image registration is the process of transforming diff. …

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Automatic image registration is still present challenge in several fields like computer vision and remote sensing applications. Image registration is the process of transforming different sets of data into one coordinate system. In this paper, we propose a method for Automatic accurate Image Registration through Histogram-Based Image Segmentation and translation (delineation) using Wiener filtering which allows for a more detailed histogram-based segmentation, rather than the traditional methods, and consequently to an accurate image registration. Proposed system is able to estimate the rotation and/or translation between two images- which may be multitemporal or multisensor-with small differences in the spectral content. The first dataset consists in a photograph and a rotated and shifted version of the same photograph, with different levels of added noise. This allows for the registration of pairs of images with differences in rotation and translation. Various applications of image registration are target recognition, monitoring global land usage using satellite images, matching stereo images to recover shape for navigation, and aligning images from different medical modalities.…

Etat : New. Print on Demand pp. 148 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

Etat : New. PRINT ON DEMAND pp. 148.

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Automatic image registration is still present challenge in several fields like computer vision and remote sensing applications. Image registration is the process of transforming different sets of data into one coordinate system. In this paper, we propose a method for Automatic accurate Image Registration through Histogram-Based Image Segmentation and translation (delineation) using Wiener filtering which allows for a more detailed histogram-based segmentation, rather than the traditional methods, and consequently to an accurate image registration. Proposed system is able to estimate the rotation and/or translation between two images- which may be multitemporal or multisensor-with small differences in the spectral content. The first dataset consists in a photograph and a rotated and shifted version of the same photograph, with different levels of added noise. This allows for the registration of pairs of images with differences in rotation and translation. Various applications of image registration are target recognition, monitoring global land usage using satellite images, matching stereo images to recover shape for navigation, and aligning images from different medical modalitiesVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 148 pp. Englisch.…

Hardcover. Etat : new. Hardcover. ADVANCED HEALTHCARE SYSTEMS This book offers a complete package involving the incubation of machine learning, AI, and IoT in healthcare that is beneficial for researchers, healthcare professionals, scientists, and technologists. The applications and challenges of machine learning and artificial intelligence in the Internet of Things (IoT) for healthcare applications are comprehensively covered in this book. IoT generates big data of varying data quality; intelligent processing and analysis of this big data are the keys to developing smart IoT applications, thereby making space for machine learning (ML) applications. Due to its computational tools that can substitute for human intelligence in the performance of certain tasks, artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Since IoT platforms provide an interface to gather data from various devices, they can easily be deployed into AI/ML systems. The value of AI in this context is its ability to quickly mesh insights from data and automatically identify patterns and detect anomalies in the data that smart sensors and devices generateinformation such as temperature, pressure, humidity, air quality, vibration, and soundthat can be really helpful to rapid diagnosis. Audience This book will be of interest to researchers in artificial intelligence, the Internet of Things, machine learning as well as information technologists working in the healthcare sector. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Etat : Brand New. 500 pages. 9.00x6.00x1.06 inches. In Stock. This item is printed on demand.