ei ole lubatud
ei ole lubatud
Digitaalõiguste kaitse (DRM)
Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).
Vajalik tarkvara
Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)
PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )
Seda e-raamatut ei saa lugeda Amazon Kindle's.
Assumption Generation for Learning-Enabled Autonomous Systems.- Customizable Reference Runtime Monitoring of Neural Networks using Resolution Boxes.- Scalable Stochastic Parametric Verification with Stochastic Variational Smoothed Model Checking.- Monitoring Blackbox Implementations of Multiparty Session Protocols.- Specification Parameters for Multi-Class Classification.- General Anticipatory Monitoring for Temporal Logics on Finite Traces.- Metric First-order Temporal Logic with Complex Data Types.- Runtime Verification Prediction for Traces with Data.- Monitoring Hyperproperties With Prefix Transducers.- Compositional Simulation-Based Analysis of AI-Based Autonomous Systems for Markovian Specifications.- Decentralized Predicate Detection over Partially Synchronous Continuous-Time Signals.- Flexible Runtime Security Enforcement with Tagged C.- Pattern Matching for Perception Streams.- Learning Monitor Ensembles for Operational Design Domains.- Monitoring Algorithmic Fairness underPartial Observations.- AMT: a Runtime Verification Tool of Video Streams.- Bridging the Gap: A Focused DSL for RV-Oriented Instrumentation with BISM.- CCMOP: A Runtime Verification Tool for C/C++ Programs.- A Stream Runtime Verification Tool with Nested and Retroactive Parametrizations.- eMOP: A Maven Plugin for Evolution-Aware Runtime Verification.- Runtime Monitoring of Accidents in Driving Recordings with Multi-Type Logic in Empirical Models.- Safety Monitoring for Pedestrian Detection in Adverse Conditions.- Instrumentation for RV: From Basic Monitoring to Advanced Use Cases.- Runtime Monitoring DNN-based Perception.- Monitorability for Runtime Verification.- Learning-Based Approaches to Predictive Monitoring with Conformal Statistical Guarantees.