LEADER 03576nam 2200469 450 001 9910677691703321 005 20230510124948.0 010 $a1-119-86185-3 010 $a1-119-86184-5 010 $a1-119-86183-7 035 $a(MiAaPQ)EBC7143514 035 $a(Au-PeEL)EBL7143514 035 $a(CKB)25430871500041 035 $a(EXLCZ)9925430871500041 100 $a20230401d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aMachine learning algorithms for signal and image processing /$fedited by Deepika Ghai [and four others] 210 1$aHoboken, New Jersey :$cJohn Wiley & Sons, Inc.,$d[2023] 210 4$dİ2023 215 $a1 online resource (752 pages) 311 08$aPrint version: Tripathi, Suman Lata Machine Learning Algorithms for Signal and Image Processing Newark : John Wiley & Sons, Incorporated,c2022 9781119861829 320 $aIncludes bibliographical references and index. 330 $a"Machine Learning Algorithms for Signal and Image Processing aid the reader in designing and developing real-world applications of societal and industrial needs using advances in machine learning to aid and enhance speech signal processing, image processing, computer vision, biomedical signal processing, text processing, etc. It includes signal processing techniques applied for pre-processing, feature extraction, source separation, or data decompositions to achieve machine learning tasks. It will advance the current understanding of various machine and deep learning techniques in terms of their ability to improve upon the existing solutions with accuracy, precision rate, recall rate, processing time or otherwise. The most important is, it aims to bridge the gap among closely related fields of information processing including ML, DL, DSP, Statistics, Kernel Theory and others. It also aims to bridge the gap between academicians, researchers and industry to provide new technological solutions for healthcare, speech recognition, object detection and classification, etc. It will improve upon the current understanding about data collection and data preprocessing of signals and images for various applications, implementation of suitable machine and deep learning techniques for variety of signals and images, as well, possible collaboration to ensure successful design according to industry standards by working in a team. It will be helpful for researchers and designers to find out key parameters for future work in this area. The researchers working on machine and deep learning techniques can correlate their work with real-life applications of smart sign language recognition system, healthcare, smart blind reader system, text to image generation or vice-versa, etc. The book will be of interest to both beginners working in the field of machine and deep learning used for signal and image analysis, interdisciplinary in its nature"--$cProvided by publisher. 606 $aSignal processing$xDigital techniques 606 $aImage processing$xDigital techniques 606 $aMachine learning 615 0$aSignal processing$xDigital techniques. 615 0$aImage processing$xDigital techniques. 615 0$aMachine learning. 676 $a621.3822 702 $aGhai$b Deepika 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910677691703321 996 $aMachine learning algorithms for signal and image processing$93084351 997 $aUNINA