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020			_a9789811605987
024	7		_a10.1007/978-981-16-0598-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ325.5 _b2021 EB
245	1	0	_aMachine Learning for Robotics Applications _cedited by Monica Bianchini, Milan Simic, Ankush Ghosh, Rabindra Nath Shaw.
250			_aFirst edition 2021
264		1	_aSingapore _bSpringer International Pulishing _c2021
300			_a1 recurso en línea (XII, 168 páginas) _b103 ilustraciones, 76 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aStudies in Computational Intelligence _x1860-9503 _v960
490	0		_aIntelligent Technologies and Robotics (SpringerNature-42732)
490	0		_aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505	0		_aChapter 1.Manipulation of Standard Link Mechanism for Robotic Application using Artificial Neural Network and PID -- Chapter 2. Machine learning-enabled Human Activity Recognition System for Humanoid robot -- Chapter 3. Hospital Assistance Robots-Control Strategy and Machine Learning Technology -- Chapter 4. Cyber Physical System Fraud Analysis by Mobile Robot -- Chapter 5. Design and Development of an Intelligent Robot for Improving Crop Productivity using Machine Learning -- Chapter 6. Integration of Wireless Sensor Network in Robotics -- Chapter 7. Industry 4.0 and Robotics Automation-New Trends in Cyber Security -- Chapter 8. Digital Transformation in Smart Manufacturing with Industrial Robot through Predictive Data Analysis -- Chapter 9. Surveillance Robot in Cyber Intelligence for Vulnerability Detection -- Chapter 10. Framework and Smart Contract for Blockchain Enabled Certificate verification Sys-tem using Robotics.
520	3		_aMachine learning has become one of the most prevalent topics in recent years. The application of machine learning we see today is a tip of the iceberg. The machine learning revolution has just started to roll out. It is becoming an integral part of all modern electronic devices. Applications in automation areas like automotive, security and surveillance, augmented reality, smart home, retail automation and healthcare are few of them. Robotics is also rising to dominate the automated world. The future applications of machine learning in the robotics area are still undiscovered to the common readers. We are, therefore, putting an effort to write this edited book on the future applications of machine learning on robotics where several applications have been included in separate chapters. The content of the book is technical. It has been tried to cover all possible application areas of Robotics using machine learning. This book will provide the future vision on the unexplored areas of applications of Robotics using machine learning. The ideas to be presented in this book are backed up by original research results. The chapter provided here in-depth look with all necessary theory and mathematical calculations. It will be perfect for laymen and developers as it will combine both advanced and introductory material to form an argument for what machine learning could achieve in the future. It will provide a vision on future areas of application and their approach in detail. Therefore, this book will be immensely beneficial for the academicians, researchers and industry project managers to develop their new project and thereby beneficial for mankind. Original research and review works with model and build Robotics applications using Machine learning are included as chapters in this book.
988			_aSpringer_Robotics_2021
650		7	_2embne _9166090 _aAprendizaje automático
700	1		_aBianchini, Monica _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9682056
700	1		_aSimic, Milan _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9682014
700	1		_aGhosh, Ankush _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9681984
700	1		_aShaw, Rabindra Nath _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9681981
776	0	8	_iPrinted edition: _z9789811605970
776	0	8	_iPrinted edition: _z9789811605994
776	0	8	_iPrinted edition: _z9789811606007
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-0598-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE