Bookstore

Enables readers to understand the fundamental concepts of machine and deep learning techniques with interactive, real-life applications within signal and image processingMachine Learning Algorithms for Signal and Image Processing aids the reader in designing and developing real-world applications using advances in machine learning to aid and enhance speech signal processing, image processing, computer vision, biomedical signal processing, adaptive filtering, and text processing. It includes signal processing techniques applied for pre-processing, feature extraction, source separation, or data decompositions to achieve machine learning tasks.Written by well-qualified authors and contributed to by a team of experts within the field, the work covers a wide range of important topics, such as:* Speech recognition, image reconstruction, object classification and detection, and text processing* Healthcare monitoring, biomedical systems, and green energy* How various machine and deep learning techniques can improve accuracy, precision rate recall rate, and processing time* Real applications and examples, including smart sign language recognition, fake news detection in social media, structural damage prediction, and epileptic seizure detectionProfessionals within the field of signal and image processing seeking to adapt their work further will find immense value in this easy-to-understand yet extremely comprehensive reference work. It is also a worthy resource for students and researchers in related fields who are looking to thoroughly understand the historical and recent developments that have been made in the field.

Machine Learning Algorithms for Signal and Image Processing

Section-1 Machine & Deep Learning techniques for Image Processing1.1 Image Features in Machine Learning1.2 Image Segmentation and Classification using Deep Learning1.3 Deep Learning based Synthetic Aperture Radar Image Classification1.4 Design Perspectives of Multitask Deep Learning Models and Applications1.5 Image Reconstruction using Deep Learning1.6 Machine and Deep Learning Techniques for Image Super-ResolutionSection-2 Machine & Deep Learning techniques for Text and Speech Processing2.1 Machine and Deep Learning Techniques for Text and Speech Processing2.2 Manipuri Handwritten Script Recognition using Machine and Deep Learning2.3 Comparison of Different Text Extraction Techniques for Complex Color Images2.4 Smart Text Reader System for Blind Person using Machine and Deep Learning2.5 Machine Learning Techniques for Deaf People2.6 Design and Development of Chatbot based on Reinforcement Learning2.7 DNN based Speech Quality Enhancement and Multi-speaker Separation for Automatic Speech Recognition System2.8 Design and Development of Real-Time Music Transcription using Digital Signal ProcessingSection-3 Applications of Signal and Image Processing with Machine & Deep learning techniques3.1 Role of Machine Learning in Wrist Pulse Analysis3.2 An Explainable Convolutional Neural Network based Method for Skin Lesion Classification from Dermoscopic Images3.3 Future of Machine-Learning and Deep-Learning in Health-Care Monitoring System3.4 Usage of AI & Wearable IoT Devices for Healthcare Data: A Study3.5 Impact of IoT in Biomedical Applications using Machine and Deep Learning3.6 Wireless Communications using Machine Learning and Deep Learning3.7 Applications of Machine Learning and Deep Learning in Smart Agriculture3.8 Structural Damage Prediction from Earthquakes using Deep Learning3.9 Machine Learning and Deep Learning Techniques in Social Sciences3.1O Green Energy using Machine and Deep Learning3.11 Light Deep CNN Approach for Multi-Label Pathology Classification using Frontal Chest X-RayIndex