Inventive Communication and Computational Technologies : Proceedings of ICICCT 2020 / edited by G. Ranganathan, Joy Chen, Álvaro Rocha

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Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Lecture Notes in Networks and Systems ; 145Publisher: Singapore : Springer Singapore, 2021Publisher: Singapore : Imprint: Springer, 2021Edition: 1st ed. 2021Description: 1 Online-Ressource(XXXIV, 1000 p. 612 illus., 424 illus. in color.)ISBN:

9789811573453

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Additional physical formats: 9789811573446 | 9789811573460 | Erscheint auch als: 9789811573446 Druck-Ausgabe | Erscheint auch als: 9789811573460 Druck-AusgabeDOI: DOI: 10.1007/978-981-15-7345-3Online resources:

Summary: Mathematical Modeling of the Data Processing Problems of Heat Experiments based on Multi- Processor Computing Complexes -- Analysis of Image Processing Techniques to Segment the Target Animal in Non-Uniformly Illuminated and Occluded Images -- Enhanced Speeded Up Robust Feature with Bag of Grapheme (Esurf-Bog) for Tamil Palm Leaf Character Recognition -- Traffic Sign Recognition System (TSRS): SVM and Convolutional Neural Network -- Agro Advisory System Using Big Data Analytics -- Automatic Face Recognition and Finding Occurrence of Actors in Movies -- Recurrent Neural Network based Character Recognition System for Tamil Palm Leaf Manuscript Using Stroke Zoning.Summary: This book gathers selected papers presented at the 4th International Conference on Inventive Communication and Computational Technologies (ICICCT 2020), held on 28–29 May 2020 at Gnanamani College of Technology, Tamil Nadu, India. The respective contributions highlight recent research efforts and advances in a new paradigm called ISMAC (IoT in Social, Mobile, Analytics and Cloud contexts). The topics covered include the Internet of Things, Social Networks, Mobile Communications, Big Data Analytics, Bio-inspired Computing and Cloud Computing. Given its scope, the book is chiefly intended for academics and practitioners working to resolve practical issues in this area. .PPN: PPN: 1734637536Package identifier: Produktsigel: ZDB-2-ENG | ZDB-2-SEB | ZDB-2-SXE

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