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[null,"1.","Record Nr.",null,"UNISOBSOBE00050653"]
[null,null,"Autore",null,"Petzold, Paul"]
[null,null,"Titolo",null,"De Ciceronis obtrectatoribus et laudatoribus Romanis. Pars 1. / dissertatio inauguralis ... scripsit Paulus Petzold"]
[null,null,"Pubbl/distr/stampa",null,"Lipsiae : Typis F. Peter success., 1911"]
[null,null,"Descrizione fisica",null,"71 p. ; 22 cm"]
[null,null,"Lingua di pubblicazione",null,"Latino"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNIORUON00080747"]
[null,null,"Autore",null,"JOHNSON, Paul K."]
[null,null,"Titolo",null,"Initiates of theosophical masters / K. Paul Johnson"]
[null,null,"Pubbl/distr/stampa",null,"Albany, : State University of New York, c1995"]
[null,null,"ISBN",null,"07-914255-6-8"]
[null,null,"Descrizione fisica",null,"xv, 255 p. : p. di tav. ; 23 cm"]
[null,null,"Disciplina",null,"299.934"]
[null,null,"Soggetti",null,"BLAVATSKY, Helena Petrovna"]
[{"$nulls":4},"TEOSOFIA - Storia"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"3.","Record Nr.",null,"UNINA9910743687003321"]
[null,null,"Titolo",null,"Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems / / edited by Vipin Kumar Kukkala, Sudeep Pasricha"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023"]
[null,null,"ISBN",null,"9783031280160"]
[{"$nulls":4},"3031280164"]
[null,null,"Edizione",null,"[1st ed. 2023.]"]
[null,null,"Descrizione fisica",null,"1 online resource (782 pages)"]
[null,null,"Disciplina",null,"006.22"]
[null,null,"Soggetti",null,"Embedded computer systems"]
[{"$nulls":4},"Electronic circuit design"]
[{"$nulls":4},"Cooperating objects (Computer systems)"]
[{"$nulls":4},"Embedded Systems"]
[{"$nulls":4},"Electronics Design and Verification"]
[{"$nulls":4},"Cyber-Physical Systems"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Chapter 1 Reliable Real-time Message Scheduling in Automotive Cyber-Physical Systems -- Chapter 2 Evolvement of Scheduling Theories for Autonomous Vehicles -- Chapter 3 Distributed Coordination and Centralized Scheduling for Automobiles at Intersections -- Chapter 4 Security Aware Design of Time-Critical Automotive Cyber-Physical Systems -- Chapter 5 Secure by Design Autonomous Emergency Braking Systems in Accordance with ISO 21434 -- Chapter 6 Resource Aware Synthesis of Automotive Security Primitives -- Chapter 7 Gradient-free Adversarial Attacks on 3D Point Clouds from LiDAR Sensors -- Chapter 8 Internet of Vehicles- Security and Research Road map -- Chapter 9 Protecting Automotive Controller Area Network: A Review on Intrusion Detection Methods Using Machine Learning Algorithms -- Chapter 10 Real-Time Intrusion Detection in Automotive Cyber-Physical Systems with Recurrent Autoencoders -- Chapter 11 Stacked LSTMs based Anomaly Detection in Time-Critical Automotive Networks -- Chapter 12 Deep AI for Anomaly Detection in Automotive Cyber-Physical Systems -- Chapter 13 Physical Layer Intrusion Detection and Localization on CAN bus -- Chapter 14 Spatiotemporal Information based Intrusion Detection Systems for In-vehicle Networks "]
[{"$nulls":4},"-- Chapter 15 In-Vehicle ECU Identification and Intrusion Detection from Electrical Signaling -- Chapter 16 Machine Learning for Security Resiliency in Connected Vehicle Applications -- Chapter 17 Object Detection in Autonomous Cyber-Physical Vehicle Platforms: Status and Open Challenges -- Chapter 18 Scene-Graph Embedding for Robust Autonomous Vehicle Perception -- Chapter 19 Sensing Optimization in Automotive Platforms -- Chapter 20 Unsupervised Random Forest Learning for Traffic Scenario Categorization -- Chapter 21 Development of Computer Vision Models for Drivable Region Detection in Snow Occluded Lane Lines.-Chapter 22 Machine Learning Based Perception Architecture Design for Semi-Autonomous Vehicles -- Chapter 23 -- Predictive Control During Acceleration Events to Improve Fuel Economy -- Chapter 24 Learning-based social coordination to improve safety and robustness of cooperative autonomous vehicles in mixed traffic -- Chapter 25 Evaluation of Autonomous Vehicle Control Strategies Using Resilience Engineering -- Chapter 26 Safety-assured Design and Adaptation of Connected and Autonomous Vehicles -- Chapter 27 Identifying and Assessing Research Gaps for Energy Efficient Control of Electrified Autonomous Vehicle Eco-driving."]
[null,null,null,"Sommario/riassunto","This book provides comprehensive coverage of various solutions that address issues related to real-time performance, security, and robustness in emerging automotive platforms. The authors discuss recent advances towards the goal of enabling reliable, secure, and robust, time-critical automotive cyber-physical systems, using advanced optimization and machine learning techniques. The focus is on presenting state-of-the-art solutions to various challenges including real-time data scheduling, secure communication within and outside the vehicle, tolerance to faults, optimizing the use of resource-constrained automotive ECUs, intrusion detection, and developing robust perception and control techniques for increasingly autonomous vehicles. The book describes state-of-the-art solutions to design secure, robust, and time-critical automotive systems; Various approaches are discussed that will impact the design of emerging autonomous vehicle systems; The content is relevant to researchers and industry practitioners interested in future automotive platforms. ."]