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Progress in Intelligent Computing Techniques: Theory, Practice, and Applications - Proceedings of ICACNI 2016, Volume 1... Progress in Intelligent Computing Techniques: Theory, Practice, and Applications - Proceedings of ICACNI 2016, Volume 1 (Paperback, 1st ed. 2018)
Pankaj Kumar Sa, Manmath Narayan Sahoo, M. Murugappan, Yulei Wu, Banshidhar Majhi
R4,309 Discovery Miles 43 090 Ships in 10 - 15 working days

The book focuses on both theory and applications in the broad areas of communication technology, computer science and information security. This two volume book contains the Proceedings of 4th International Conference on Advanced Computing, Networking and Informatics. This book brings together academic scientists, professors, research scholars and students to share and disseminate information on knowledge and scientific research works related to computing, networking, and informatics to discuss the practical challenges encountered and the solutions adopted. The book also promotes translation of basic research into applied investigation and convert applied investigation into practice.

Machine Learning for Biometrics - Concepts, Algorithms and Applications (Paperback): Partha Pratim Sarangi, Madhumita Panda,... Machine Learning for Biometrics - Concepts, Algorithms and Applications (Paperback)
Partha Pratim Sarangi, Madhumita Panda, Subhashree Mishra, Bhabani Shankar Prasad Mishra, Banshidhar Majhi
R2,596 Discovery Miles 25 960 Ships in 12 - 17 working days

Machine Learning for Biometrics: Concepts, Algorithms and Applications highlights the fundamental concepts of machine learning, processing and analyzing data from biometrics and provides a review of intelligent and cognitive learning tools which can be adopted in this direction. Each chapter of the volume is supported by real-life case studies, illustrative examples and video demonstrations. The book elucidates various biometric concepts, algorithms and applications with machine intelligence solutions, providing guidance on best practices for new technologies such as e-health solutions, Data science, Cloud computing, and Internet of Things, etc. In each section, different machine learning concepts and algorithms are used, such as different object detection techniques, image enhancement techniques, both global and local feature extraction techniques, and classifiers those are commonly used data science techniques. These biometrics techniques can be used as tools in Cloud computing, Mobile computing, IOT based applications, and e-health care systems for secure login, device access control, personal recognition and surveillance.

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