LEADER 00910nam0-2200277---450- 001 990009834860403321 005 20140310104656.0 035 $a000983486 035 $aFED01000983486 035 $a(Aleph)000983486FED01 035 $a000983486 100 $a20140310d1880----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $aa-------001yy 200 1 $aAtti della r. Accademia dei Lincei$eAnno CCLXXVII 1879-1880$eSerie terza, memorie della classe di scienze fisiche, matematiche e naturali, volume VI 210 $aRoma$cTip. Salviucci$d1880 215 $a445 p., 17 c.di tav.$d30 cm 712 02$aReale Accademia dei Lincei.$bClasse di scienze fisiche, matematiche e naturali 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990009834860403321 952 $aT 2/33$bs.i.$fDINGE 959 $aDINGE 996 $aAtti della R. 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Gathered and set forth by Cl. Hollyband. For the better vnderstanding of the order of this dictionarie, peruse the preface to the reader 210 $aAt London $cImprinted by Henrie Bynneman. With speciall priulege$dAnno Dom. 1580 215 $a[418] p 300 $aA revised and enlarged edition of: "A Dictionarie French and English" (STC 6832). 300 $aSignatures: [par]? A-Y? Aa-Yy? Aaa-Ggg? Hhh¹. 300 $aReproduction of the original in the Newberry Library. 330 $aeebo-0101 606 $aFrench language$vDictionaries$xEnglish$vEarly works to 1800 615 0$aFrench language$xEnglish 700 $aHollyband$b Claudius$f16th cent.$0845822 801 0$bCu-RivES 801 1$bCu-RivES 801 2$bCStRLIN 801 2$bWaOLN 906 $aBOOK 912 $a996390259803316 996 $aThe treasurie of the French tong$92328686 997 $aUNISA LEADER 05203nam 22007935 450 001 9910991167903321 005 20250327123052.0 010 $a981-9639-65-4 024 7 $a10.1007/978-981-96-3965-6 035 $a(CKB)38168574800041 035 $a(DE-He213)978-981-96-3965-6 035 $a(MiAaPQ)EBC31979240 035 $a(Au-PeEL)EBL31979240 035 $a(EXLCZ)9938168574800041 100 $a20250327d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe Proceedings of 2024 International Conference on Artificial Intelligence and Autonomous Transportation $eVolume III /$fedited by Limin Jia, Dechen Yao, Feng Ma, Liguo Zhang, Yuejian Chen, Qingwan Xue 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (X, 543 p. 269 illus., 223 illus. in color.) 225 1 $aLecture Notes in Electrical Engineering,$x1876-1119 ;$v1391 311 08$a981-9639-64-6 327 $aThe Vehicle Object Detection Algorithm Based on Improved YOLOv8 -- Using Real Flight Data to Evaluate Flight Crew's Safety Resilience -- A theoretical analysis of train induced structural vibration of using iron cast comparing with concrete sleeper with under sleeper pad??a case study -- Machine Learning for Ship Energy Consumption Predicting Based on Noon Report Data -- Two-Stream Multi-Modal Target Detection Based on Yolov8 Model under Complex Lighting Conditions -- Enhancing Model Transparency: A Comparative Analysis of SHAP and LIME in Explaining Traffic Accident Prediction Models -- A Goint Calibration Method for Multi Lidar and Camera Based on Parameter Observability Self-assessment -- RMP: Multi-agent Joint Motion Prediction Based on Risky-field Theory -- Numerical Simulation and Impact Analysis of EMU Transformer Fire -- Optimizing the Cold Chain Logistics Distribution Path in O2O Mode under Low Carbon Perspective. 330 $aThis book reflects the latest research trends, methods and experimental results in the field of Artificial Intelligence and Autonomous Transportation, which covers abundant state-of-the-art research theories and ideas. As a vital research area that is highly relevant to current developments in a number of technological domains, the topics covered include Autonomous Transportation Systems, Autonomous Transportation Management and Control Technology, Autonomous Transportation Equipment Technology, Vehicular Networking and Information Security, Emerging Technologies and Future Mobility, Intelligent water transportation technology, Cross-Domain Transportation Technology, and so on. The goal of the proceedings is to provide a major interdisciplinary forum for researchers, engineers, academics, and industry professionals to present the most innovative research and development in the field of Artificial Intelligence and Autonomous Transportation. Engineers and researchers from academia, industry, and government will also explore an insight view of the solutions that combine ideas from multiple disciplines in this area. The volumes serve as an excellent reference work for researchers and graduate students working in the areas of rail transportation, electrical engineering, and information technology. 410 0$aLecture Notes in Electrical Engineering,$x1876-1119 ;$v1391 606 $aAutomatic control 606 $aRobotics 606 $aAutomation 606 $aComputational intelligence 606 $aVehicles 606 $aArtificial intelligence 606 $aTransportation engineering 606 $aTraffic engineering 606 $aControl, Robotics, Automation 606 $aComputational Intelligence 606 $aVehicle Engineering 606 $aArtificial Intelligence 606 $aTransportation Technology and Traffic Engineering 615 0$aAutomatic control. 615 0$aRobotics. 615 0$aAutomation. 615 0$aComputational intelligence. 615 0$aVehicles. 615 0$aArtificial intelligence. 615 0$aTransportation engineering. 615 0$aTraffic engineering. 615 14$aControl, Robotics, Automation. 615 24$aComputational Intelligence. 615 24$aVehicle Engineering. 615 24$aArtificial Intelligence. 615 24$aTransportation Technology and Traffic Engineering. 676 $a629.8 702 $aJia$b Limin$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aYao$b Dechen$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMa$b Feng$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZhang$b Liguo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aChen$b Yuejian$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aXue$b Qingwan$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910991167903321 996 $aThe Proceedings of 2024 International Conference on Artificial Intelligence and Autonomous Transportation$94349035 997 $aUNINA