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Data analytics and learning : proceedings of DAL 2018

Autor: P Nagabhushan; University of Mysore.
Editora: Singapore : Springer, [2019]
Séries: Lecture notes in networks and systems, v. 43.
Edição/Formato   e-book : Documento : Publicação de conferência : InglêsVer todas as edições e formatos
Resumo:
This book presents new theories and working models in the area of data analytics and learning. The papers included in this volume were presented at the first International Conference on Data Analytics and Learning (DAL 2018), which was hosted by the Department of Studies in Computer Science, University of Mysore, India on 30-31 March 2018. The areas covered include pattern recognition, image processing, deep  Ler mais...
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Detalhes

Gênero/Forma: Electronic books
Conference papers and proceedings
Congresses
Formato Físico Adicional: Print version:
Nagabhushan, P.
Data Analytics and Learning : Proceedings of DAL 2018.
Singapore : Springer, ©2018
Tipo de Material: Publicação de conferência, Documento, Recurso Internet
Tipo de Documento Recursos de internet, Arquivo de computador
Todos os Autores / Contribuintes: P Nagabhushan; University of Mysore.
ISBN: 9789811325144 9811325146
Número OCLC: 1076253695
Notas: This book presents new theories and working models in the area of data analytics and learning. The papers included in this volume were presented at the first International Conference on Data Analytics and Learning (DAL 2018), which was hosted by the Department of Studies in Computer Science, University of Mysore, India on 30-31 March 2018.
Analyzing and Comparison of Movie Rating Using Hadoop and Spark Frame Work
Descrição: 1 online resource (450 pages)
Conteúdos: Intro; Preface; Contents; Editors and Contributors; Recognition of Seven-Segment Displays from Images of Digital Energy Meters; 1 Introduction; 2 Review of Related Work; 3 Proposed Method for Recognition of Seven-Segment Digits; 3.1 Determination of the LCD Display Area; 3.2 Segmentation of Digits; 3.3 Digit Recognition; 3.4 Experimental Results; 3.5 Conclusions and Future Work; References; An Enhanced Task Scheduling in Cloud Computing Based on Hybrid Approach; 1 Introduction; 2 Related Work; 3 System Model of Scheduling; 4 Proposed Work; 5 Simulation Environment; 6 Performance Evaluation 7 ConclusionReferences; A Moment-Based Representation for Online Telugu Handwritten Character Recognition; 1 Introduction; 2 Data Collection; 3 Moment-Based Representation; 3.1 Local Moments; 3.2 Preprocessing; 3.3 Stroke Representation and Features; 4 Stroke Classification and Character Recognition; 4.1 K-Nearest Neighbor (KNN) Model; 4.2 Artificial Neural Network (ANN) Model; 5 Results; 6 Conclusions; References; A Switch-Prioritized Load-Balancing Technique in SDN; 1 Introduction; 2 The Overview of Software Defined Network; 3 Load Balancing Techniques; 4 Proposed Idea; 5 Conclusion 3.4 Keyword Spotting by Matching Word Images4 Experiments and Results; 5 Conclusion and Future Scope; References; A Parallel Programming Approach for Estimation of Depth in World Coordinate System Using Single Camera; 1 Introduction; 2 Literature Survey; 3 Depth Estimation Using Single Camera; 3.1 Corner Feature Point Detection; 3.2 The Fundamental Matrix with RANSAC; 3.3 The Essential Matrix; 3.4 The Normalized Eight-Point Algorithm; 3.5 Triangulation; 4 Implementation Details; 4.1 Parallelization of Corner Detection and Finding the Correspondence Points 4.2 Estimation of Fundamental Matrix F4.3 Find XYZ by Triangulation; 4.4 Geometric Error Cost Function; 4.5 Cluster Z; 4.6 Evaluation; 5 Conclusion and Future Enhancement; References; An Alternate Voltage-Controlled Current Source for Electrical Impedance Tomography Applications; 1 Introduction; 2 Literature Review; 3 Methodology; 3.1 The Circuit Connection; 3.2 Design of the Output Current; 3.3 The Buffer Circuit; 4 Results and Discussion; 4.1 Frequency Response; 4.2 Simulation Result; 4.3 Hardware Result; 5 Conclusion; References
Título da Série: Lecture notes in networks and systems, v. 43.
Responsabilidade: P. Nagabhushan [and 3 others], editors.

Resumo:

This book presents new theories and working models in the area of data analytics and learning. The papers included in this volume were presented at the first International Conference on Data Analytics and Learning (DAL 2018), which was hosted by the Department of Studies in Computer Science, University of Mysore, India on 30-31 March 2018. The areas covered include pattern recognition, image processing, deep learning, computer vision, data analytics, machine learning, artificial intelligence, and intelligent systems. As such, the book offers a valuable resource for researchers and practitioners alike.

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