| Description |
1 online resource (171 p.) |
| Series |
Innovations in Multimedia, Virtual Reality and Augmentation Series |
|
Innovations in Multimedia, Virtual Reality and Augmentation Series
|
| Contents |
Cover -- Half Title -- Series -- Title -- Copyright -- Contents -- Preface -- Editor Biographies -- List of Contributors -- Chapter 1 Machine Learning Techniques for Accurate Prediction and Detection of Chronic Diseases -- 1.1 Introduction -- 1.1.1 Chronic Disease -- 1.1.2 Role of ML in Chronic Disease Prediction -- 1.1.3 Motivation of Research -- 1.2 Literature Review -- 1.3 Problem Statement -- 1.4 Comparative Analysis of Conventional Mechanisms -- 1.5 Need for Research -- 1.6 Conventional Classifiers Applied for Identification and Predication of Chronic Disease |
|
1.6.1 Supervised Machine Learning -- 1.6.2 Unsupervised Machine Learning -- 1.6.3 Semi-Supervised Machine Learning -- 1.6.4 Support Vector Machine -- 1.6.5 Naïve Bayes -- 1.6.6 LSTM -- 1.7 Research Methodology -- 1.8 Result and Discussion -- 1.8.1 Accuracy -- 1.8.2 Error Rate -- 1.8.3 Time Taken -- 1.9 Conclusion -- 1.10 Future Scope -- References -- Chapter 2 A Novel Approach to Multimedia Malware Detection Using Bi-LSTM and Attention Mechanisms -- 2.1 Introduction -- 2.2 Literature Review -- 2.3 Methodology -- 2.3.1 Input Preprocessing -- 2.3.2 Neural Network-Based Training and Optimisation |
|
2.4 Results and Discussion -- 2.4.1 Basic Configuration -- 2.4.2 Assessment and Metrics for Model Evaluation -- 2.4.3 Findings of the Analysis -- 2.5 Conclusion -- References -- Chapter 3 Exploring Machine Learning Applications for Enhancing Security and Privacy in Multimedia IoT: A Comprehensive Review -- 3.1 Introduction -- 3.1.1 Security Challenges in IoT -- 3.1.2 IoT Security and Privacy -- 3.1.3 Big Data and Its Analytics -- 3.2 Literature of Review -- 3.3 Result and Discussion -- 3.4 Conclusion -- References |
|
Chapter 4 Advanced Machine Learning Strategies for Road Object Detection in Multimedia Environments -- 4.1 Introduction -- 4.1.1 Machine Learning-Based Road Object Detection -- 4.1.2 Various Approaches Used in Road Object Detection -- 4.1.3 Importance of Road Object Detection for Autonomous Vehicles -- 4.2 Literature of Review -- 4.3 Comparative Analysis -- 4.4 Conclusion -- References -- Chapter 5 A Multimedia-Driven Machine Learning Approach to Mastitis Detection in Dairy Cattle -- 5.1 Introduction -- 5.1.1 Classification of Mastitis |
|
5.1.2 Mastitis Pathogens and Their Effect on Milk Composition -- 5.2 Related Work -- 5.3 Materials and Methods -- 5.3.1 Data Gathering -- 5.3.2 Data Preprocessing -- 5.3.3 Models Used -- 5.3.4 Random Forest Classifier Workflow -- 5.4 Results and Discussion -- 5.4.1 Evaluation Metrices -- 5.4.2 Web Application -- 5.5 Conclusion -- References -- Chapter 6 Music Genre Classification Using Long Short-Term Memory (LSTM) Networks: Analyzing Audio Spectrograms for Enhanced Multimedia Understanding -- 6.1 Introduction -- 6.2 Related Works -- 6.3 Methods and Materials |
| Summary |
This book explores the interdisciplinary nature of machine learning in multimedia, highlighting its intersections with fields such as computer vision, natural language processing, and audio signal processing. It uses case studies and examples to discuss the potential of machine learning in the realm of multimedia |
| Notes |
Description based upon print version of record |
|
6.3.1 Data Collection and Preprocessing |
| Subject |
Multimedia data mining.
|
|
Machine learning.
|
|
Medical informatics.
|
| Form |
Electronic book
|
| Author |
Sharma, Annu
|
|
Somasekar, J
|
|
Bhushan, Bharat
|
| ISBN |
9781040226537 |
|
1040226531 |
|
