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Runtime verification is a lightweight verification technique that complements model checking by analyzing system executions at runtime rather than exploring a complete system model in advance. It is particularly useful for partially…

Logic in Computer Science · Computer Science 2026-04-30 Benedikt Bollig

Deep neural networks are widely used for nonlinear function approximation with applications ranging from computer vision to control. Although these networks involve the composition of simple arithmetic operations, it can be very challenging…

Machine Learning · Computer Science 2020-12-02 Changliu Liu , Tomer Arnon , Christopher Lazarus , Christopher Strong , Clark Barrett , Mykel J. Kochenderfer

Smart cities are revolutionizing the transportation infrastructure by the integration of technology. However, ensuring that various transportation system components are operating as expected and in a safe manner is a great challenge. In…

Computers and Society · Computer Science 2021-10-13 Mariam Nour , Mohamed H. Zaki

As location-based applications become ubiquitous in emerging wireless networks, Location Verification Systems (LVS) are of growing importance. In this paper we propose, for the first time, a rigorous information-theoretic framework for an…

Information Theory · Computer Science 2014-01-22 Shihao Yan , Robert Malaney , Ido Nevat , Gareth W. Peters

Model execution allows us to prototype and analyse software engineering models by stepping through their possible behaviours, using techniques like animation and simulation. On the other hand, deductive verification allows us to construct…

Logic in Computer Science · Computer Science 2024-10-31 Simon Foster , Chung-Kil Hur , Jim Woodcock

Schema linking is a difficult and important step in large-scale Text-to-SQL, where systems must identify a compact yet sufficient schema context from large and ambiguous databases. Existing methods often treat schema linking as…

Computation and Language · Computer Science 2026-05-29 Huawei Zheng , Sen Yang , Zhaorui Yang , Yuhui Zhang , Haozhe Feng , Haoxuan Li , Xuan Yi , Chao Hu , Defeng Xie , Chen Hou , Danqing Huang , Wei Chen , Yingcai Wu , Peng Chen , Dazhen Deng

Tsetlin Machines (TsMs) are a promising and interpretable machine learning method which can be applied for various classification tasks. We present an exact encoding of TsMs into propositional logic and formally verify properties of TsMs…

Machine Learning · Computer Science 2023-07-04 Emilia Przybysz , Bimal Bhattarai , Cosimo Persia , Ana Ozaki , Ole-Christoffer Granmo , Jivitesh Sharma

A fundamental problem of applying Large Language Models (LLMs) to important applications is that LLMs do not always follow instructions, and violations are often hard to observe or check. In LLM-based agentic workflows, such violations can…

Artificial Intelligence · Computer Science 2026-01-27 Yiming Su , Kunzhao Xu , Yanjie Gao , Fan Yang , Cheng Li , Mao Yang , Tianyin Xu

We present in this paper a new algorithm for urban traffic light control with mixed traffic (communicating and non communicating vehicles) and mixed infrastructure (equipped and unequipped junctions). We call equipped junction here a…

Systems and Control · Computer Science 2017-08-22 Cyril Nguyen Van Phu , Nadir Farhi , Habib Haj-Salem , Jean-Patrick Lebacque

Non-Intrusive Load Monitoring (NILM) is an important application to monitor household appliance activities and provide related information to house owner or/and utility company via a single sensor installed at the electrical entry of the…

Signal Processing · Electrical Eng. & Systems 2018-09-25 Mengqi Lu , Jinfeng Gao , Zuyi Li

In this work, the reachable set estimation and safety verification problems for a class of piecewise linear systems equipped with neural network controllers are addressed. The neural network is considered to consist of Rectified Linear Unit…

Systems and Control · Computer Science 2018-02-21 Weiming Xiang , Hoang-Dung Tran , Joel A. Rosenfeld , Taylor T. Johnson

Although an ever-growing number of applications employ deep learning based systems for prediction, decision-making, or state estimation, almost no certification processes have been established that would allow such systems to be deployed in…

Machine Learning · Computer Science 2024-03-25 Romeo Valentin

The planning of attractive and cost efficient public transport systems is a highly complex optimization process involving many steps. Integrating robustness from a passenger's point of view makes the task even more challenging. With…

Machine Learning · Computer Science 2021-06-17 Matthias Müller-Hannemann , Ralf Rückert , Alexander Schiewe , Anita Schöbel

The execution of different cases of a process is often restricted by inter-case dependencies through e.g., queueing or shared resources. Various high-level Petri net formalisms have been proposed that are able to model and analyze…

Formal Languages and Automata Theory · Computer Science 2023-04-12 Dominique Sommers , Natalia Sidorova , Boudewijn F. van Dongen

Tracing back the instruction execution sequence to debug a multicore system can be very time-consuming because the relationships of the instructions can be very complex. For instructions that cannot be checked by the environment immediately…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-09-09 Yuzhe Luo , Xin Yu

Real-world control applications in complex and uncertain environments require adaptability to handle model uncertainties and robustness against disturbances. This paper presents an online, output-feedback, critic-only, model-based…

Systems and Control · Electrical Eng. & Systems 2023-04-25 Tochukwu Elijah Ogri , Zachary I. Bell , Rushikesh Kamalapurkar

Model checking is an established technique to formally verify automation systems which are required to be trusted. However, for sufficiently complex systems model checking becomes computationally infeasible. On the other hand, testing,…

Software Engineering · Computer Science 2019-07-30 Igor Buzhinsky , Valeriy Vyatkin

This paper presents pragmatic solutions for verifying complex mathematical algorithms implemented in hardware in an efficient and effective manner. Maximizing leverage of a known-answer-test strategy, based on predefined data scenarios…

Artificial Intelligence · Computer Science 2024-12-30 Mark Litterick , Aleksandar Ivankovic , Bojan Arsov , Aman Kumar

Effective maintenance of railway infrastructure is crucial for safe and comfortable transportation. Among the various degradation modes, track geometry deformation due to repeated loading significantly impacts operational safety. Detecting…

Applications · Statistics 2026-02-11 Huy Truong-Ba , Sinda Rebello , Michael E. Cholette , Venkat Reddy , Pietro Borghesani

This article is concerned with stability analysis and stabilization of randomly switched systems under a class of switching signals. The switching signal is modeled as a jump stochastic (not necessarily Markovian) process independent of the…

Optimization and Control · Mathematics 2011-10-04 Debasish Chatterjee , Daniel Liberzon
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