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The Legal Challenges of the Fourth Industrial Revolution; Law, Governance and Technology Series ,
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Data Protection Litigation System Under the GDPR:
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2024 IEEE Electrical Insulation Conference (EIC) ,
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A model based on the finite element method for estimating t..:
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Tools and Algorithms for the Construction and Analysis of Systems; Lecture Notes in Computer Science ,
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ESBMC v7.4: Harnessing the Power of Intervals: (Competition..:
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2024 IEEE Electrical Insulation Conference (EIC) ,
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Methods for mapping salt pollution deposition in insulation:
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2023 XIII Brazilian Symposium on Computing Systems Engineering (SBESC) ,
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Towards Integrity and Reliability in Embedded Systems: The ..:
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Tools and Algorithms for the Construction and Analysis of Systems; Lecture Notes in Computer Science ,
6
EBF 4.2: Black-Box Cooperative Verification for Concurrent ..:
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Lecture Notes in Computer Science; Formal Methods: Foundations and Applications ,
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ESBMC v7.3: Model Checking C++ Programs Using Clang AST:
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2023 IEEE Electrical Insulation Conference (EIC) ,
8
Digital Image Processing Applied to the Reduction of Subjec..:
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Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis ,
9
ESBMC-Jimple: verifying Kotlin programs via jimple intermed..:
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Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis ,
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ESBMC-CHERI: towards verification of C programs for CHERI p..:
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Characterization of Minerals, Metals, and Materials 2021; The Minerals, Metals & Materials Series ,
11
Analysis of the Elasto-Plastic Behavior of SAE 1045 Steel S..:
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Fundamental Approaches to Software Engineering; Lecture Notes in Computer Science ,
12
FuSeBMC: A White-Box Fuzzer for Finding Security Vulnerabil..:
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Fundamental Approaches to Software Engineering; Lecture Notes in Computer Science ,
13
ESBMC: Scalable and Precise Test Generation based on the Fl..:
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Tools and Algorithms for the Construction and Analysis of Systems; Lecture Notes in Computer Science ,
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Map2Check: Using Symbolic Execution and Fuzzing: (Competiti..:
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Intelligent Data Engineering and Automated Learning – IDEAL 2019; Lecture Notes in Computer Science ,
15