000 | 06267nam a22006375i 4500 | ||
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001 | 978-3-030-13705-2 | ||
003 | DE-He213 | ||
005 | 20220801215455.0 | ||
007 | cr nn 008mamaa | ||
008 | 190620s2020 sz | s |||| 0|eng d | ||
020 |
_a9783030137052 _9978-3-030-13705-2 |
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024 | 7 |
_a10.1007/978-3-030-13705-2 _2doi |
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072 | 7 |
_aTJK _2bicssc |
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_a621.382 _223 |
245 | 1 | 0 |
_aSmart Infrastructure and Applications _h[electronic resource] : _bFoundations for Smarter Cities and Societies / _cedited by Rashid Mehmood, Simon See, Iyad Katib, Imrich Chlamtac. |
250 | _a1st ed. 2020. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2020. |
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300 |
_aXVII, 665 p. 238 illus., 154 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aEAI/Springer Innovations in Communication and Computing, _x2522-8609 |
|
505 | 0 | _aChapter1: Enterprise Systems for Networked Smart Cities -- Chapter2: Sentiment Analysis of Arabic Tweets for Road Traffic Congestion and Event Detection -- Chapter3: Automatic Detection and Validation of Smart City Events Using HPC and Apache Spark Platforms -- Chapter4: In-Memory Deep Learning Computations on GPUs for Prediction of Road Traffic Incidents using Big Data Fusion -- Chapter5: Hybrid Statistical and Machine Learning Methods for Road Traffic Prediction: A Review and Tutorial -- Chapter6: Comparison of Decision Trees and Deep Learning for Object Classification in Autonomous Driving -- Chapter7: A Smart Disaster Management System for Future Cities using Deep Learning, GPUs, and In-Memory Computing -- Chapter8: Parallel Shortest Path Big Data Graph Computations of US Road Network using Apache Spark: Survey, Architecture, and Evaluation -- Chapter9: A Survey of Methods and Tools for Large-Scale DNA Mixture Profiling -- Chapter10: An Architecture to Improve Security of Cloud Computing in Healthcare Sectors -- Chapter11: The Role of Big Data and Twitter Data Analytics in Healthcare Supply Chain Management -- Chapter12: A Mobile Cloud Framework for Context-aware and Portable Recommender System for Smart Markets -- Chapter13: Association Rule Mining in Higher Education: A Case Study of Computer Science Students -- Chapter14: SelecWeb: A Software Tool for Automatic Selection of Web Frameworks -- Chapter15: On Performance of Commodity Single Board Computer based Clusters: A Big Data perspective -- Chapter16: Parallel Iterative Solution of Large Sparse Linear Equation Systems on the Intel MIC Architecture -- Chapter17: Performance Characteristics for Sparse Matrix Vector Multiplication on GPUs -- Chapter18: HPC-Smart Infrastructures: A Review and Outlook on Performance Analysis Methods and Tools -- Chapter19: Big Data Tools, Technologies and Applications: A Survey -- Chapter20: Big Data for Smart Infrastructures Design: Opportunities and Challenges -- Chapter21: Software Quality in the era of Big Data, IoT and Smart Cities -- Chapter22: Open Source and Open Data Licenses in the Smart Infrastructure Era: Review and License Selection Frameworks -- Chapter23: Big Data and HPC Convergence for Smart Infrastructures: A Review and Proposed Architecture -- Chapter24: Towards a Runtime Testing Framework for Dynamically Adaptable Internet of Things Networks in Smart Cities -- Chapter25: HCDSR: A Hierarchical Clustered Fault Tolerant Routing Technique for IoT based Smart Societies -- Chapter26: Security Testing of Internet of Things for Smart City Applications: a Formal Approach. | |
520 | _aThis book provides a multidisciplinary view of smart infrastructure through a range of diverse introductory and advanced topics. The book features an array of subjects that include: smart cities and infrastructure, e-healthcare, emergency and disaster management, Internet of Vehicles, supply chain management, eGovernance, and high performance computing. The book is divided into five parts: Smart Transportation, Smart Healthcare, Miscellaneous Applications, Big Data and High Performance Computing, and Internet of Things (IoT). Contributions are from academics, researchers, and industry professionals around the world. Features a broad mix of topics related to smart infrastructure and smart applications, particularly high performance computing, big data, and artificial intelligence; Includes a strong emphasis on methodological aspects of infrastructure, technology and application development; Presents a substantial overview of research and development on key economic sectors including healthcare and transportation. . | ||
650 | 0 |
_aTelecommunication. _910437 |
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650 | 0 |
_aApplication software. _944581 |
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650 | 0 |
_aEnergy policy. _914226 |
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650 | 0 |
_aEnergy and state. _931819 |
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650 | 0 |
_aTechnological innovations. _97308 |
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650 | 0 |
_aHuman geography. _944582 |
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650 | 1 | 4 |
_aCommunications Engineering, Networks. _931570 |
650 | 2 | 4 |
_aComputer and Information Systems Applications. _944583 |
650 | 2 | 4 |
_aEnergy Policy, Economics and Management. _931820 |
650 | 2 | 4 |
_aInnovation and Technology Management. _933002 |
650 | 2 | 4 |
_aHuman Geography. _944584 |
700 | 1 |
_aMehmood, Rashid. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _944585 |
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700 | 1 |
_aSee, Simon. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _944586 |
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700 | 1 |
_aKatib, Iyad. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _944587 |
|
700 | 1 |
_aChlamtac, Imrich. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _944588 |
|
710 | 2 |
_aSpringerLink (Online service) _944589 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030137045 |
776 | 0 | 8 |
_iPrinted edition: _z9783030137069 |
776 | 0 | 8 |
_iPrinted edition: _z9783030137076 |
830 | 0 |
_aEAI/Springer Innovations in Communication and Computing, _x2522-8609 _944590 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-13705-2 |
912 | _aZDB-2-ENG | ||
912 | _aZDB-2-SXE | ||
942 | _cEBK | ||
999 |
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