LEADER 00580nam a2200169 i 4500 001 991004313736007536 005 20240409151454.0 008 240409s1928 fr r 000 0 ita d 040 $aBibl. Interfacoltà T. Pellegrino$bita 082 04$a615.5 245 00$aTerapia nuova :$bnuovi rimedi scientifici basati sulle ricerche della terapia moderna ed esperienze cliniche 260 $aParigi :$bLaboratorio di chimicoterapia Helose,$c[1928?] 300 $a31 p. ;$c19 cm 650 4$aTerapia$ySec. 20. 912 $a991004313736007536 996 $aTerapia nuova$94148823 997 $aUNISALENTO LEADER 02220nas 2200625-a 450 001 9910893046303321 005 20240413030105.0 035 $a(CKB)991042737723756 035 $a(CONSER)cn-89032302- 035 $a(DE-599)ZDB2829894-9 035 $a(EXLCZ)99991042737723756 100 $a19890626b19841987 --- a 101 0 $aeng 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPatrika 210 $a[Toronto] $cIndian Students' Association, University of Toronto$d[1984-1987] 215 $a1 online resource 300 $aTitle from caption. 311 08$aPrint version: Patrika (Toronto, Ont.) 0845-2423 (DLC)cn 89032302 (OCoLC)1081085796 531 0 $aPatrika 606 $aEast Indian Canadian students$zOntario$zToronto$vPeriodicals 606 $aEast Indian students$zOntario$zToronto$vPeriodicals 606 $aEast Indian Canadians$vPeriodicals 606 $aEast Indians$zCanada$vPeriodicals 606 $aÉtudiants canadiens d'origine indienne$zOntario$zToronto$vPériodiques 606 $aÉtudiants de l'Inde$zOntario$zToronto$vPériodiques 606 $aCanadiens d'origine indienne$vPériodiques 606 $aIndiens (Habitants de l'Inde)$zCanada$vPériodiques 606 $aEast Indian students$2fast$3(OCoLC)fst00901059 606 $aEast Indians$2fast$3(OCoLC)fst00901060 606 $aStudents$2fast$3(OCoLC)fst01136041 607 $aCanada$2fast 607 $aOntario$zToronto$2fast 608 $aPeriodicals.$2fast 615 5$aEast Indian Canadian students 615 0$aEast Indian students 615 5$aEast Indian Canadians 615 0$aEast Indians 615 6$aÉtudiants canadiens d'origine indienne 615 6$aÉtudiants de l'Inde 615 6$aCanadiens d'origine indienne 615 6$aIndiens (Habitants de l'Inde) 615 7$aEast Indian students. 615 7$aEast Indians. 615 7$aStudents. 676 $a971.3/54100491411 686 $acci1icc$2lacc 712 02$aUniversity of Toronto.$bIndian Students' Association. 906 $aJOURNAL 912 $a9910893046303321 920 $aexl_impl conversion 996 $aPatrika$94238730 997 $aUNINA LEADER 04885nam 22007935 450 001 9910845085903321 005 20240319223639.0 010 $a9789819996476 010 $a9819996473 024 7 $a10.1007/978-981-99-9647-6 035 $a(MiAaPQ)EBC31211283 035 $a(Au-PeEL)EBL31211283 035 $a(MiAaPQ)EBC31214965 035 $a(Au-PeEL)EBL31214965 035 $a(DE-He213)978-981-99-9647-6 035 $a(CKB)30903561300041 035 $a(OCoLC)1427067575 035 $a(EXLCZ)9930903561300041 100 $a20240314d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aToward Connected, Cooperative and Intelligent IoV $eFrontier Technologies and Applications /$fby Kai Liu, Penglin Dai, Victor C.S. Lee, Joseph Kee-Yin Ng, Sang Hyuk Son 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (327 pages) 311 08$a9789819996469 311 08$a9819996465 327 $aPart I. Introduction -- Chapter 1. Background of IoV -- Chapter 2. State-of-the-Art -- Part II. Connected IoV: Vehicular Communications and Data Dissemination -- Chapter 3. Data Dissemination via I2V/V2V Communications in Software Defined Vehicular Networks -- Chapter 4. Network Coding Assisted Data Broadcast in Large-Scale Vehicular Networks -- Chapter 5. Fog Computing Empowered Data Dissemination in Heterogeneous Vehicular Networks -- Chapter 6. Temporal Data Uploading and Dissemination in Real-time Vehicular Networks -- Part III Cooperative IoV: End-Edge-Cloud Cooperative Scheduling and Optimization -- Chapter 7. Convex Optimization on Vehicular End-Edge-Cloud Cooperative Task Offloading -- Chapter 8. An Approximation Algorithm for Joint Data Uploading and Task Offloading in IoV -- Chapter 9. Distributed Task Offloading and Workload Balancing in IoV -- Part IV. Intelligent IoV: Key Enabling Technologies in Vehicular Edge Intelligence -- Chapter 10. Toward Timely and Reliable DNN Inference in Vehicular Edge Intelligence -- Chapter 11. Deep Q-learning based Adaptive Multimedia Streaming in Vehicular Edge Intelligence -- Chapter 12. A Multi-agent Multi-objective Deep Reinforcement Learning Solution for Digital Twin in Vehicular Edge Intelligence -- Part V. Case Studies -- Chapter 13. See Through System -- Chapter 14. Non-Line-of-Sight Collision Warning System -- Chapter 15. Proactive Traffic Abnormity Warning System -- Chapter 16. UAV-assisted Pedestrian Detection System -- Chapter 17. Vehicular Indoor Localization and Tracking System -- Part VI. Conclusion and Future Directions -- Chapter 18. Conclusion -- Chapter 19. Future Directions. 330 $aThis book offers a comprehensive introduction to technological advances in Internet of Vehicles (IoV), including vehicular communications, vehicular system architectures, data dissemination algorithms, resource allocation schemes, and AI-enabled applications. It focuses on the state-of-the-art IoV with regard to three major directions, namely networking, cooperation, and intelligence, including advanced wireless communication technologies, algorithm theory, optimization mechanisms, and AI technologies. In addition, the book includes a number of case studies with system prototype implementation and hands-on experiments in IoV, making it suitable both as a technical reference work for professionals and as a textbook for graduate students. 606 $aMobile computing 606 $aCooperating objects (Computer systems) 606 $aMathematical optimization 606 $aAlgorithms 606 $aInternet of things 606 $aMachine learning 606 $aMobile Computing 606 $aCyber-Physical Systems 606 $aDiscrete Optimization 606 $aDesign and Analysis of Algorithms 606 $aInternet of Things 606 $aMachine Learning 615 0$aMobile computing. 615 0$aCooperating objects (Computer systems) 615 0$aMathematical optimization. 615 0$aAlgorithms. 615 0$aInternet of things. 615 0$aMachine learning. 615 14$aMobile Computing. 615 24$aCyber-Physical Systems. 615 24$aDiscrete Optimization. 615 24$aDesign and Analysis of Algorithms. 615 24$aInternet of Things. 615 24$aMachine Learning. 676 $a004.167 700 $aLiu$b Kai$0499903 701 $aDai$b Penglin$01733752 701 $aLee$b Victor C. 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