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Deep Learning in Visual Computing and Signal Processing

Deep Learning in Visual Computing and Signal Processing
Deep Learning in Visual Computing and Signal Processing

Deep Learning in Visual Computing and Signal Processing

Hardback / bound | English
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Description

Covers the fundamentals and advanced topics in designing and deploying techniques using deep architectures and their application in visual computing and signal processing. It discusses deep learning in neural networks and for object recognition and detection models and the specific applications in visual and signal processing.



Krishna Kant Singh, PhD, is Professor and Head, Department of CSE, Faculty of Engineering and Technology, Jain (Deemed-to-be University), India. He is also the NBA coordinator for the department. He has wide teaching and research experience and has authored more than 100 research papers in Scopus and SCIE indexed journals as well as 25 technical books. He is also an associate editor and editorial board member of several journals and an active researcher in the field of machine learning, cognitive computing, and 6G and beyond networks.

Vibhav Kumar Sachan, PhD, is Professor and Additional Head of the Department of Electronics and Communication Engineering Department at the KIET Group of Institutions, India. During his academic career of 18 years, he has taught at undergraduate and postgraduate levels and has authored books, edited several conference proceedings, and written book chapters. He has published many papers in reputed national and international journals and conferences and is an editorial board member of several journals.

Akansha Singh, PhD, is Associate Professor in the School of Computer Science Engineering and Technology, Bennett University, India. She has to her credit more than 70 research papers, 20 books, and numerous conference papers. Dr. Singh has served as a reviewer and technical committee member for multiple conferences and journals and is also an associate editor and guest editor for several journals in her field.

Sanjeevikumar Padmanaban, PhD, is a senior member of IEEE and a faculty member with the Department of Energy Technology, Aalborg University, Esbjerg, Denmark. He is also affiliated with CTIF Global Capsule, Department of Business Development and Technology Aarhus University, Denmark. He was formerly affiliated with VIT University, India; the National Institute of Technology, India; Qatar University, Doha, Qatar; Dublin Institute of Technology, Ireland; and the University of Johannesburg, South Africa.

Specifications

  • Publisher
    Apple Academic Press Inc.
  • Pub date
    Oct 2022
  • Pages
    270
  • Theme
    Environmental science, engineering and technology
  • Dimensions
    229 x 152 mm
  • Weight
    530 gram
  • EAN
    9781774638705
  • Hardback / bound
    Hardback / bound
  • Language
    English

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