Machine Learning Algorithms for Signal and Image Processing

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Deepika Ghai, Suman Lata Tripathi, Sobhit Saxena, Manash Chanda, Mamoun Alazab
John Wiley & Sons, 2022 M12 8 - 512 páginas
Machine Learning Algorithms for Signal and Image Processing

Enables readers to understand the fundamental concepts of machine and deep learning techniques with interactive, real-life applications within signal and image processing

Machine 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 detection

Professionals 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.

 

Páginas seleccionadas

Contenido

Image Segmentation and Classification Using Deep Learning
19
Deep Learning Based Synthetic Aperture Radar Image Classification
37
Image Reconstruction Using Deep Learning
65
Machine and DeepLearning Techniques for Image SuperResolution
89
Satellite Imaging
91
5
107
Machine and DeepLearning Techniques for Text and Speech Processing
117
Manipuri Handwritten Script Recognition Using Machine and Deep Learning
129
An Explainable Convolutional Neural NetworkBased Method for SkinLesion Classification
279
Future of Machine Learning ML and Deep Learning DL in Healthcare Monitoring
293
18
315
TempTraq
321
Wearable Blood Pressure Monitors
327
7
334
Impact of IoT in Biomedical Applications Using Machine and Deep Learning
339
Wireless Communications Using Machine Learning and Deep Learning
361

Comparison of Different Text Extraction Techniques for Complex Color Images
139
Smart Text Reader System for People who are Blind Using Machine and Deep Learning
161
MachineLearning Techniques for Deaf People
201
Design and Development of Chatbot Based on Reinforcement Learning
219
DNN Based Speech Quality Enhancement and Multispeaker Separation for Automatic
231
9
244
Performance Evaluation
258
Role of Machine Learning in Wrist Pulse Analysis
265
Applications of Machine Learning and Deep Learning in Smart Agriculture
371
Structural Damage Prediction from Earthquakes Using Deep Learning
397
MachineLearning and DeepLearning Techniques in Social Sciences
409
Green Energy Using Machine and Deep Learning
429
2
446
Index
459
Derechos de autor

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Machine Learning Algorithms for Signal and Image Processing
Deepika Ghai,Suman Lata Tripathi,Sobhit Saxena,Manash Chanda,Mamoun Alazab
Vista previa limitada - 2022

Términos y frases comunes

accuracy analysis applications approach architecture arXiv arXiv preprint autoencoder beamforming Biomedical chatbot clustering color Computer Vision Conference on Computer convolutional neural network crop dataset deep learning deep neural network denoising disease domain Electronics energy Engineering evaluation feature extraction filter framework function gradient healthcare HR image ICDAR13 IEEE IEEE Conference IEEE International Conference IEEE Transactions image denoising Image Processing image super-resolution improve India input Journal Lovely Professional University LSTM machine learning machine-learning models matrix methods monitoring multi-task noise optimization output parameters Pattern Recognition performance pitch class pixel prediction problem Proceedings proposed random forest regression samples segmentation semantic sensors shot hindered listeners shown in Figure Signal Processing smart speech enhancement structure super-resolution supervised learning tasks Technology text recognition texture unsupervised utilized vector Vision and Pattern Wang wearable devices wrist pulse Zhang

Acerca del autor (2022)

Dr. Deepika Ghai is Assistant Professor of Signal and Image Processing at Lovely Professional University, India. Dr. Ghai received her PhD from Punjab Engineering College, India.

Dr. Suman Lata Tripathi is Professor of VLSI Design at Lovely Professional University, India. She is an IEEE senior member and received her PhD in microelectronics and VLSI from MNNIT, Allahabad.

Dr. Sobhit Saxena is Associate Professor at Lovely Professional University. He completed his PhD from IIT Roorkee in Nanomaterials.

Dr. Manash Chanda is Assistant Professor in the Department of ECE, Meghnad Saha Institute of Technology, India. He received his PhD in Engineering from Jadavpur University in 2018.

Dr. Mamoun Alazab is Associate Professor at the College of Engineering, IT and Environment at Charles Darwin University, Australia. He has published 150+ research papers in international journals and conferences, such as IEEE Transactions on Industrial Informatics

Información bibliográfica

TítuloMachine Learning Algorithms for Signal and Image Processing
EditoresDeepika Ghai, Suman Lata Tripathi, Sobhit Saxena, Manash Chanda, Mamoun Alazab
EditorJohn Wiley & Sons, 2022
ISBN1119861829, 9781119861829
Largo512 páginas
  
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