Cognitive computing in human cognition : perspectives and applications /: perspectives and applications. (2020)
- Record Type:
- Book
- Title:
- Cognitive computing in human cognition : perspectives and applications /: perspectives and applications. (2020)
- Main Title:
- Cognitive computing in human cognition : perspectives and applications
- Further Information:
- Note: Pradeep Kumar Mallick, Prasant Kumar Pattnaik, Amiya Ranjan Panda, Valentina Emilia Balas, editors.
- Other Names:
- Mallick, Pradeep Kumar
Pattnaik, Prasant Kumar
Panda, Amiya Ranjan
Balas, Valentina Emilia - Contents:
- Intro -- Preface -- About This Book -- Key Features -- Contents -- About the Editors -- Improved Steganography Using Odd Even Substitution -- 1 Introduction -- 1.1 QR Code -- 1.2 Code Structure -- 1.3 Steganography -- 1.4 Least Significant Bit (LSB) Technique -- 2 Literature Survey -- 3 Methodology -- 3.1 Algorithm -- 3.2 Parameters -- 4 Results -- References -- A Tags Mining Approach for Automatic Image Annotation Using Neighbor Images Tree -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 Feature Extraction -- 3.2 Similarity Calculation 3.3 Generate Tag Matrix from Top Neighbors -- 3.4 Subspace Construction -- 3.5 Delete Duplicate -- 3.6 Finding Neighbor Images -- 3.7 Recommendation Tags -- 4 Experimental Results -- 4.1 Experiment Setting -- 4.2 Datasets -- 4.3 Evaluation Metrics -- 4.4 Features -- 4.5 Results -- 5 Conclusion -- References -- A Survey: Implemented Architectures of 3D Convolutional Neural Networks -- 1 Introduction -- 2 Input Data Manipulation -- 3 Architectures for 3D CNN -- 3.1 3D U-Net Architecture -- 3.2 V-Net Architecture -- 3.3 DenseNet Architecture -- 3.4 PointNet Architecture -- 3.5 CapsNet Architecture 4 Results -- 5 Conclusions -- References -- An Approach for Detection of Dust on Solar Panels Using CNN from RGB Dust Image to Predict Power Loss -- 1 Introduction -- 1.1 Solar Panel -- 1.2 Need to Remove Dust on Solar Panel -- 1.3 Challenges -- 2 Convolutional Neural Network -- 2.1 CNN Architecture -- 3 Application on CNN -- 4Intro -- Preface -- About This Book -- Key Features -- Contents -- About the Editors -- Improved Steganography Using Odd Even Substitution -- 1 Introduction -- 1.1 QR Code -- 1.2 Code Structure -- 1.3 Steganography -- 1.4 Least Significant Bit (LSB) Technique -- 2 Literature Survey -- 3 Methodology -- 3.1 Algorithm -- 3.2 Parameters -- 4 Results -- References -- A Tags Mining Approach for Automatic Image Annotation Using Neighbor Images Tree -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 Feature Extraction -- 3.2 Similarity Calculation 3.3 Generate Tag Matrix from Top Neighbors -- 3.4 Subspace Construction -- 3.5 Delete Duplicate -- 3.6 Finding Neighbor Images -- 3.7 Recommendation Tags -- 4 Experimental Results -- 4.1 Experiment Setting -- 4.2 Datasets -- 4.3 Evaluation Metrics -- 4.4 Features -- 4.5 Results -- 5 Conclusion -- References -- A Survey: Implemented Architectures of 3D Convolutional Neural Networks -- 1 Introduction -- 2 Input Data Manipulation -- 3 Architectures for 3D CNN -- 3.1 3D U-Net Architecture -- 3.2 V-Net Architecture -- 3.3 DenseNet Architecture -- 3.4 PointNet Architecture -- 3.5 CapsNet Architecture 4 Results -- 5 Conclusions -- References -- An Approach for Detection of Dust on Solar Panels Using CNN from RGB Dust Image to Predict Power Loss -- 1 Introduction -- 1.1 Solar Panel -- 1.2 Need to Remove Dust on Solar Panel -- 1.3 Challenges -- 2 Convolutional Neural Network -- 2.1 CNN Architecture -- 3 Application on CNN -- 4 Proposed Work to Detect Dust on Solar Panel -- 4.1 Dataset -- 4.2 Simulation Environment -- 4.3 Sample Code -- 4.4 Outcomes -- 5 Conclusion -- References -- A Novel Method of Data Partitioning Using Genetic Algorithm Work Load Driven Approach Utilizing Machine Learning 1 Introduction -- 2 Related Work -- 3 Proposed Model -- 3.1 Identification of Unique Primary Key Values -- 3.2 The Arrangement of Partition Values and Optimization -- 4 Results -- 4.1 Average Search Time (AST) -- 4.2 Precision and Recall -- 5 Conclusion -- References -- Virtual Dermoscopy Using Deep Learning Approach -- 1 Introduction -- 2 Background -- 2.1 A Brief Overview on Related Works -- 2.2 Database Description -- 3 The Proposed Methodology and Implementation -- 3.1 Brief Overview of System -- 3.2 ConvNets Architecture -- 4 Results and Discussions -- 5 Limitations -- 6 Future Scope 7 Conclusion -- References -- Evaluating Robustness for Intensity Based Image Registration Measures Using Mutual Information and Normalized Mutual Information -- 1 Introduction -- 2 Registration -- 2.1 Mutual Information -- 2.2 Measures for Registration Quality -- 3 Methodology -- 3.1 Robustness -- 4 Results and Discussion -- 4.1 Results of Mutual Information -- 4.2 Summary of Mutual Information -- 4.3 Results of Normalized Mutual Information -- 4.4 Summary of Normalized Mutual Information -- 4.5 Results of Image Registration on Dataset -- 5 Conclusion and Future Scope -- References … (more)
- Publisher Details:
- Cham : Springer
- Publication Date:
- 2020
- Copyright Date:
- 2020
- Extent:
- 1 online resource (125 pages)
- Subjects:
- 006.3
Soft computing
Artificial intelligence
Automatic control engineering
Biomedical engineering
Technology & Engineering -- Engineering (General)
Technology & Engineering -- Automation
Technology & Engineering -- Biomedical
Computers -- Intelligence (AI) & Semantics
Soft computing
Electronic books - Languages:
- English
- ISBNs:
- 9783030481186
- Related ISBNs:
- 9783030481179
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.513292
- Ingest File:
- 04_029.xml