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010   $a3-031-87697-0
024 7 $a10.1007/978-3-031-87697-4
035   $a(MiAaPQ)EBC32189501
035   $a(Au-PeEL)EBL32189501
035   $a(CKB)39567915500041
035   $a(OCoLC)1526863576
035   $a(DE-He213)978-3-031-87697-4
035   $a(EXLCZ)9939567915500041
100   $a20250702d2025      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aData Analytics for Smart Robotics and Its Applications /$fedited by Rohit Sharma, Gwanggil Jeon
205   $a1st ed. 2025.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025.
215   $a1 online resource (419 pages)
225 1 $aIntelligent Systems Reference Library,$x1868-4408 ;$v272
311 08$a3-031-87696-2 
327   $aScalable Blockchain and Robotics Technology for a Patient-Centric Next Generation Medical System -- Face Mask Detection using Multimedia Data and Deep Learning Techniques -- Digital Twin Robots for Securing IoT Based Healthcare 4.0 Application: Key Technologies, Integration Trends and Recent Advancement -- Evolution of FinFET SRAM Cells for Smart Robotics: A Comprehensive Review -- Robot Path Planning Using Triangular Inequality -- Smart Factory Architecture, Infrastructure and Design of Manufacturing Systems using Robotics.
330   $aBy offering a deep dive into the integration of robotics and IoT, this book provides actionable insights for developing autonomous systems that address complex real-world challenges in sectors such as healthcare, agriculture, education, manufacturing, and smart cities. It explores practical applications of the Internet of Robotic Things (IoRT), enabling readers to leverage its transformative potential to create smarter, more efficient environments. The book introduces a fresh perspective by combining the fields of robotics and IoT into a cohesive framework, underpinned by innovations in edge computing, cloud robotics, and Industry 4.0. Unlike traditional approaches, it emphasizes the convergence of these technologies to foster novel solutions for remote automation and data-driven intelligence. Covering topics like data management, machine learning, Hadoop, and IoRT applications, this book provides a comprehensive scope that balances theoretical foundations with real-world implementations. It is tailored for academic researchers, practitioners, and educators aiming to stay at the forefront of IoRT innovation and its practical deployment. With its unique approach and broad applicability, this book is an essential guide for exploring cutting-edge IoRT technologies, overcoming integration challenges, and inspiring the development of advanced systems that redefine how technology interacts with the physical world.
410  0$aIntelligent Systems Reference Library,$x1868-4408 ;$v272
606   $aEngineering$xData processing
606   $aAutomatic control
606   $aRobotics
606   $aAutomation
606   $aComputational intelligence
606   $aBig data
606   $aData Engineering
606   $aControl, Robotics, Automation
606   $aComputational Intelligence
606   $aBig Data
615  0$aEngineering$xData processing.
615  0$aAutomatic control.
615  0$aRobotics.
615  0$aAutomation.
615  0$aComputational intelligence.
615  0$aBig data.
615 14$aData Engineering.
615 24$aControl, Robotics, Automation.
615 24$aComputational Intelligence.
615 24$aBig Data.
676   $a620.00285
700   $aSharma$b Rohit$01429372
701   $aJeon$b Gwanggil$01279103
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9911015639303321
996   $aData Analytics for Smart Robotics and Its Applications$94408090
997   $aUNINA