Machine Learning Algorithms for Signal and Image Processing

Section-1 Machine & Deep Learning techniques for Image Processing

1.1 Image Features in Machine Learning

1.2 Image Segmentation and Classification using Deep Learning

1.3 Deep Learning based Synthetic Aperture Radar Image Classification

1.4 Design Perspectives of Multitask Deep Learning Models and Applications

1.5 Image Reconstruction using Deep Learning

1.6 Machine and Deep Learning Techniques for Image Super-Resolution

Section-2 Machine & Deep Learning techniques for Text and Speech Processing

2.1 Machine and Deep Learning Techniques for Text and Speech Processing

2.2 Manipuri Handwritten Script Recognition using Machine and Deep Learning

2.3 Comparison of Different Text Extraction Techniques for Complex Color Images

2.4 Smart Text Reader System for Blind Person using Machine and Deep Learning

2.5 Machine Learning Techniques for Deaf People

2.6 Design and Development of Chatbot based on Reinforcement Learning

2.7 DNN based Speech Quality Enhancement and Multi-speaker Separation for Automatic Speech Recognition System

2.8 Design and Development of Real-Time Music Transcription using Digital Signal Processing

Section-3 Applications of Signal and Image Processing with Machine & Deep learning techniques

3.1 Role of Machine Learning in Wrist Pulse Analysis

3.2 An Explainable Convolutional Neural Network based Method for Skin Lesion Classification from Dermoscopic Images

3.3 Future of Machine-Learning and Deep-Learning in Health-Care Monitoring System

3.4 Usage of AI & Wearable IoT Devices for Healthcare Data: A Study

3.5 Impact of IoT in Biomedical Applications using Machine and Deep Learning

3.6 Wireless Communications using Machine Learning and Deep Learning

3.7 Applications of Machine Learning and Deep Learning in Smart Agriculture

3.8 Structural Damage Prediction from Earthquakes using Deep Learning

3.9 Machine Learning and Deep Learning Techniques in Social Sciences

3.1O Green Energy using Machine and Deep Learning

3.11 Light Deep CNN Approach for Multi-Label Pathology Classification using Frontal Chest X-Ray

Index