9786139958016 - Exploring the SVM Classifier for the Appreciation of Shark Fish von Radhakrishnan, Kanthavel; Ramakrishnan, Dhaya; Algarni, Fahad (6 Ergebnisse)

Taschenbuch. Zustand: Neu. Exploring the SVM Classifier for the Appreciation of Shark Fish | Kanthavel Radhakrishnan (u. a.) | Taschenbuch | 56 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139958016 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

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

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This research is for identifying the shark angle with preferred exactness over the current framework of shark fish.In this studies, the picture from beach front territories that are caught utilizing high goals cameras by unmanned aerial vehicle is taken as info. Since the picture is taken from Unmanned Aerial Vehicle (UAV) in a consistent movement, the picture will be obscured. With the end goal to evacuate this, Wiener channel is utilized to de-obscure the picture. Pre-handled picture is given as contribution for division for further preparing. Highlights are separated from the fragmented picture which is contrasted and the database and characterized utilizing SVM classifier by dissecting the execution of five unique bits. Advantage of this study is that it can maintain a strategic distance from shark attacks. 56 pp. Englisch.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Radhakrishnan KanthavelProf. Dr.R.Kanthavel has 19 years experience in teaching and research in the field of information and Communication Engg. He has published 9 Engineering Books and more than 100 research articles in peer review.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This research is for identifying the shark angle with preferred exactness over the current framework of shark fish.In this studies, the picture from beach front territories that are caught utilizing high goals cameras by unmanned aerial vehicle is taken as info. Since the picture is taken from Unmanned Aerial Vehicle (UAV) in a consistent movement, the picture will be obscured. With the end goal to evacuate this, Wiener channel is utilized to de-obscure the picture. Pre-handled picture is given as contribution for division for further preparing. Highlights are separated from the fragmented picture which is contrasted and the database and characterized utilizing SVM classifier by dissecting the execution of five unique bits. Advantage of this study is that it can maintain a strategic distance from shark attacks.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This research is for identifying the shark angle with preferred exactness over the current framework of shark fish.In this studies, the picture from beach front territories that are caught utilizing high goals cameras by unmanned aerial vehicle is taken as info. Since the picture is taken from Unmanned Aerial Vehicle (UAV) in a consistent movement, the picture will be obscured. With the end goal to evacuate this, Wiener channel is utilized to de-obscure the picture. Pre-handled picture is given as contribution for division for further preparing. Highlights are separated from the fragmented picture which is contrasted and the database and characterized utilizing SVM classifier by dissecting the execution of five unique bits. Advantage of this study is that it can maintain a strategic distance from shark attacks.