| نوع مدرک: | متون چاپی | | سرشناسه | Ghai ، Deepika | | ردهبندی کنگره : | TK5102.9 .M334 2023 | | عنوان : | Machine learning algorithms for signal and image processing | | تکرار نام مولف : | edited by Deepika Ghai, Lovely Professional University, IN, Suman Lata Tripathi, Lovely Professional University, IN, Sobhit Saxena, Lovely Professional University, IN Manash Chanda, Meghnad Saha Institute of Technology, IN, Mamoun Alazab Charles Darwin University, AS | | ویرایش : | First edition | | صفحه شمار: | pages cm | | شابک/شاپا | 978-1-11-986182-9 | | یادداشت | Includes bibliographical references and index | | شناسه افزوده : | Ghai ، Deepika | | موضوعها : | اصفا
Signal processingDigital techniques ؛ Image processingDigital techniques ؛ Machine learning
| | چکیده : | "Machine Learning Algorithms for Signal and Image Processing aid the reader in designing and developing real-world applications of societal and industrial needs using advances in machine learning to aid and enhance speech signal processing, image processing, computer vision, biomedical signal processing, text processing, etc. It includes signal processing techniques applied for pre-processing, feature extraction, source separation, or data decompositions to achieve machine learning tasks. It will advance the current understanding of various machine and deep learning techniques in terms of their ability to improve upon the existing solutions with accuracy, precision rate, recall rate, processing time or otherwise. The most important is, it aims to bridge the gap among closely related fields of information processing including ML, DL, DSP, Statistics, Kernel Theory and others. It also aims to bridge the gap between academicians, researchers and industry to provide new technological solutions for healthcare, speech recognition, object detection and classification, etc. It will improve upon the current understanding about data collection and data preprocessing of signals and images for various applications, implementation of suitable machine and deep learning techniques for variety of signals and images, as well, possible collaboration to ensure successful design according to industry standards by working in a team. It will be helpful for researchers and designers to find out key parameters for future work in this area. The researchers working on machine and deep learning techniques can correlate their work with real-life applications of smart sign language recognition system, healthcare, smart blind reader system, text to image generation or vice-versa, etc. The book will be of interest to both beginners working in the field of machine and deep learning used for signal and image analysis, interdisciplinary in its nature"-- | | لینک ثابت رکورد: | ../opac/index.php?lvl=record_display&id=7585 | | زبان مدرک : | English |
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Machine learning algorithms for signal and image processing / Ghai ، Deepika 
