Deep Learning Approaches to Cloud Security. Группа авторов

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      1  Cover

      2  Title Page

      3  Copyright

      4  Foreword

      5  Preface

      6  1 Biometric Identification Using Deep Learning for Advance Cloud Security 1.1 Introduction 1.2 Techniques of Biometric Identification 1.3 Approaches 1.4 Related Work, A Review 1.5 Proposed Work 1.6 Future Scope 1.7 Conclusion References

      7  2 Privacy in Multi-Tenancy Cloud Using Deep Learning 2.1 Introduction 2.2 Basic Structure 2.3 Privacy in Cloud Environment Using Deep Learning 2.4 Privacy in Multi-Tenancy with Deep Learning Concept 2.5 Related Work 2.6 Conclusion References

      8  3 Emotional Classification Using EEG Signals and Facial Expression: A Survey 3.1 Introduction 3.2 Related Works 3.3 Methods 3.4 BCI Applications 3.5 Cloud-Based EEG Overview 3.6 Conclusion References

      9  4 Effective and Efficient Wind Power Generation Using Bifarious Solar PV System 4.1 Introduction 4.2 Study of Bi-Facial Solar Panel 4.3 Proposed System 4.4 Applications of IoT in Renewable Energy Resources 4.5 Conclusion References

      10  5 Background Mosaicing Model for Wide Area Surveillance System 5.1 Introduction 5.2 Related Work 5.3 Methodology 5.4 Results and Discussion 5.5 Conclusion References

      11  6 Prediction of CKD Stage 1 Using Three Different Classifiers 6.1 Introduction 6.2 Materials and Methods 6.3 Results and Discussion 6.4 Conclusions and Future Scope References

      12  7 Classification of MRI Images to Aid in Diagnosis of Neurological Disorder Using SVM 7.1 Introduction 7.2 Methodology 7.3 Results and Discussions 7.4 Conclusion References

      13  8 Convolutional Networks 8.1 Introduction 8.2 Convolution Operation 8.3 CNN 8.4 Practical Applications 8.5 Challenges of Profound Models 8.6 Deep Learning In Object Detection 8.7 CNN Architectures 8.8 Challenges of Item Location References

      14  9 Categorization of Cloud Computing & Deep Learning 9.1 Introduction to Cloud Computing 9.2 СКАЧАТЬ