Taran S. Data Analytics for Intelligent Systems. Techniques and solutions 2024

Download this torrent!

Taran S. Data Analytics for Intelligent Systems. Techniques and solutions 2024

Category: Other
Total size: 16.21 MB
Added: 2025-03-10 23:38:57

Share ratio: 5 seeders, 4 leechers
Info Hash: A0B961AB661DDB435FF06F25B02ECBBD4D36E982
Last updated: 1 day ago

Textbook in PDF format 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 (AI) 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. Part of the IOP series in Next Generation Computing. Each chapter begins with problem formulation and explains the signi?cance of developing the framework in a certain way, then delves into various statistical and Machine Learning techniques that enable predictive modelling, clustering, classi?cation, and anomaly detection. The chapters can be read independently by researchers, R&D engineers, and undergraduate students who wish to explore biomedical signal processing, computer vision, fault and crack detection, and recommender systems research. Preface A precise ECG QRS complex detector using a WOA optimized fractional-order digital differentiator Focal and non-focal EEG signal classification using the Wigner–Ville distribution and deep feature extraction Multi-channel EEG-based affective emotion identification using a dual-stage filtering approach Variational mode decomposition based entropy features for classification of myopathy, neuropathy, and normal EMG signals Epileptic EEG signal classification using wavelet transform and SVM Imbalanced class problem analysis for lung cancer detection using convolutional neural networks An end-to-end content-aware generative adversarial network based method for multimodal medical image fusion Infrared thermography in diagnosing macular edema Variants of generative adversarial networks for underwater image enhancement Leveraging knowledge graphs for the analysis and recommendation of jobs A recommender system based on variants of singular value decomposition Misleading multimodal news dataset for detecting fraudulent content Structural crack detection, segmentation, and classification: a review A systematic review of fault detection in hardware and software systems ACPSOD-Net: a deep atrous convolution pooling based network for salient object detection