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This book focuses on the theory, development, novel techniques, and smart solutions in data analytics for intelligent systems that capture behaviours in complex environments. The book will provide beginners with a single platform to explore a variety of recent data analytics techniques for different types of data – images, videos, numerical etc. for better decision-making and problem solving for a range of applications such as computer vision, biomedical engineering, image processing, speech signal processing, intelligent systems, fault analysis and detection. In today's world, incorporation of artificial intelligence with machine learning, ensemble learning, deep learning, transfer learning and reinforcement learning has a variety of applications. This book focuses on the various advanced techniques in data analytics that can be used in different domains to solve real-time problems.
Key Features:
- Features a wide range of data analytics methods for Intelligent Systems in one resource.
- Focus on applications.
- Includes application in a broad range of fields.
Preface
Acknowledgements
Editor biographies
List of contributors
Contributor biographies
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A precise ECG QRS complex detector using a WOA optimized fractional-order digital differentiator
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Focal and non-focal EEG signal classification using the Wigner–Ville distribution and deep feature extraction
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Multi-channel EEG-based affective emotion identification using a dual-stage filtering approach
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Variational mode decomposition based entropy features for classification of myopathy, neuropathy, and normal EMG signals
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Epileptic EEG signal classification using wavelet transform and SVM
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Imbalanced class problem analysis for lung cancer detection using convolutional neural networks
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An end-to-end content-aware generative adversarial network based method for multimodal medical image fusion
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Infrared thermography in diagnosing macular edema
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Variants of generative adversarial networks for underwater image enhancement
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Leveraging knowledge graphs for the analysis and recommendation of jobs
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A recommender system based on variants of singular value decomposition
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Misleading multimodal news dataset for detecting fraudulent content
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Structural crack detection, segmentation, and classification: a review
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A systematic review of fault detection in hardware and software systems
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ACPSOD-Net: a deep atrous convolution pooling based network for salient object detection