| Description |
1 online resource (333 p.) |
| Series |
Future Generation of Soft and Intelligent Computing Series |
|
Future Generation of Soft and Intelligent Computing Series
|
| Contents |
Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Authors -- Contributors -- Chapter 1: CNN-based oral cancer and dental caries detection for computer-aided diagnosis -- 1.1 Introduction -- 1.2 Background and related work -- 1.2.1 Dental caries (tooth decay) -- 1.2.2 Oral cancer -- 1.3 Proposed framework -- 1.3.1 Input image -- 1.3.2 Pre-processing -- 1.3.3 Creation of model -- 1.4 Predictions of the model -- 1.4.1 Confusion matrix for the proposed model -- 1.5 Results and outcomes -- 1.6 State-of-the-art comparison -- 1.7 Conclusion |
|
3.4.1.1 User access authentication -- 3.4.1.2 Abnormal traffic identification -- 3.4.1.3 Dangerous behaviour monitoring -- 3.4.1.4 Network situation awareness -- 3.4.2 Artificial Intelligence in cybersecurity -- 3.5 AI applications to improve cybersecurity for different application domains -- 3.6 Future objectives -- 3.7 Conclusion -- References -- Chapter 4: Theories of blockchain and distributed systems -- 4.1 Introduction -- 4.2 Evolution of blockchain -- 4.3 Key elements of blockchain -- 4.4 Working of blockchain -- 4.4.1 Benefits of blockchain -- 4.5 Types of blockchain networks |
|
4.6 Various platforms of blockchain technology -- 4.7 Significant challenges for blockchain applications -- 4.8 Concept of cloud computing -- 4.8.1 Blockchain in cloud computing -- 4.9 Blockchain security -- 4.10 Conclusion -- References -- Chapter 5: Analysis of critically polluted locations using the IoT and AI infrastructure -- 5.1 Introduction -- 5.2 Related work -- 5.3 Methodology -- 5.3.1 CEPI -- 5.3.2 Data collection -- 5.4 Results and analysis -- 5.4.1 Air pollution analysis -- 5.4.2 Water pollution analysis -- 5.4.3 Land pollution analysis |
|
5.4.4 Analysis using comprehensive environmental pollution index -- 5.5 Conclusion -- References -- Chapter 6: Analysis of deep learning techniques in biomedical images -- 6.1 Introduction -- 6.2 Techniques for deep learning in three-dimensional medical image processing -- 6.2.1 Convolutional neural network -- 6.2.2 Recurrent convolutional neural network -- 6.2.3 U-Net -- 6.2.4 Resnet neural network -- 6.3 Applications of medical images using deep neural network -- 6.3.1 Segmentation -- 6.3.2 Localization -- 6.3.3 Classification -- 6.4 Comparison between deep learning techniques |
| Summary |
The text addresses the challenges in designing blockchain-based secured solutions for Industry 4.0 applications using artificial intelligence. It further provides a comparative analysis of various advanced security approaches such as edge computing, cybersecurity, and cloud computing in the realm of information technology |
| Notes |
Description based upon print version of record |
| Bibliography |
References -- Chapter 2: Artificial intelligence for Healthcare 4.0 -- 2.1 Introduction -- 2.2 Evolution of Healthcare 4.0 -- 2.3 Constituents of Healthcare 4.0 -- 2.4 Importance of AI in smart networks -- 2.5 AI for heart monitoring -- 2.6 AI for surgery -- 2.7 AI for diabetes -- 2.8 Conclusion -- References -- Chapter 3: Artificial intelligence's foresight in cybersecurity -- 3.1 Introduction -- 3.2 Traditional (non-AI) cybersecurity methods -- 3.3 Artificial Intelligence -- 3.4 Artificial Intelligence used for cybersecurity -- 3.4.1 AI's potential use in cybersecurity applications |
| Notes |
6.5 Conclusions and future scope |
| Subject |
Blockchains (Databases)
|
|
Artificial intelligence.
|
|
Industry 4.0.
|
|
artificial intelligence.
|
|
Artificial intelligence.
|
|
Blockchains (Databases)
|
|
Industry 4.0.
|
| Form |
Electronic book
|
| Author |
Mahapatra, Rajendra Prasad
|
|
Jeon, Gwanggil
|
| ISBN |
9781000983067 |
|
1000983064 |
|
