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    Chapter and Conference Paper

    Formalization of Lambda Calculus with Explicit Names as a Nominal Reasoning Framework

    We formalize the metatheory of lambda calculus in Coq, in its classic form with explicit names. The formalization is founded upon an intuitive $$\alph...

    **nyi Wan, Qinxiang Cao in Dependable Software Engineering. Theories,… (2024)

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    Chapter and Conference Paper

    Commonsense Reasoning and Explainable Artificial Intelligence Using Large Language Models

    Commonsense reasoning is a difficult task for a computer, but a critical skill for an artificial intelligence (AI). It can enhance the explainability of AI models by enabling them to provide intuitive and huma...

    Stefanie Krause, Frieder Stolzenburg in Artificial Intelligence. ECAI 2023 Interna… (2024)

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    Chapter and Conference Paper

    Optimizing Decision Trees for Enhanced Human Comprehension

    This paper studies a novel approach for training people to perform complex classification tasks using decision trees. The main objective of this study is to identify the most effective subset of rules for inst...

    Ruth Cohen Arbiv, Laurence Lovat in Artificial Intelligence. ECAI 2023 Interna… (2024)

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    Chapter and Conference Paper

    Automated Prediction of Air Pollution Conditions in Environment Monitoring Systems

    This paper aims to explore the problem of air pollution forecasting, especially the particulate matter (PM) concentration in the air. Other quantities such as air temperature, atmospheric pressure, and relativ...

    Dawid Białka, Małgorzata Zajęcka, Ada Brzoza-Zajęcka in Computational Science – ICCS 2024 (2024)

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    Chapter and Conference Paper

    Fragmented Image Classification Using Local and Global Neural Networks: Investigating the Impact of the Quantity of Artificial Objects on Model Performance

    This paper addresses the challenge of classifying objects based on fragmented data, particularly when dealing with characteristics extracted from images captured from various angles. The complexity increases w...

    Kwabena Frimpong Marfo, Małgorzata Przybyła-Kasperek in Computational Science – ICCS 2024 (2024)

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    Chapter and Conference Paper

    Energy Consumption of Evolutionary Algorithms in JavaScript

    Green computing is a methodology for saving energy when implementing algorithms. In environments where the runtime is an integral part of the application, it is essential to measure their energy efficiency so ...

    Juan J. Merelo-Guervós, Mario García-Valdez in Artificial Life and Evolutionary Computati… (2024)

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    Chapter and Conference Paper

    AI in Accelerating the Creation of Renewable Energy Sources. Bibliometric Analysis

    In recent years, one of the most pressing issues facing society is the protection and conservation of our planet’s resources. The United Nations 2030 Agenda for Sustainable Development, adopted by 193 countrie...

    Iwona Chomiak-Orsa, Andrzej Greńczuk in Artificial Intelligence. ECAI 2023 Interna… (2024)

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    Chapter and Conference Paper

    Identifying Critical Scenarios in Autonomous Driving During Operation

    Ensuring autonomous driving systems’ safety, reliability, and trustworthiness is paramount to preventing incorrect or unexpected system behaviors and hazardous scenarios. However, due to the complexity of such...

    Lorenz Klampfl, Franz Wotawa in Artificial Intelligence. ECAI 2023 International Workshops (2024)

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    Chapter and Conference Paper

    Single-Scattering and Multi-scattering in Real-Time Volumetric Rendering of Clouds

    The aim of this work was to design an algorithm for rendering volumetric clouds in real time using a voxel representation. The results were verified using reference renders created with the Blender program using ...

    Mikołaj Bajkowski, Dominik Szajerman in Computational Science – ICCS 2024 (2024)

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    Chapter and Conference Paper

    Post–mining on Association Rule Bases

    Association rule mining identifies potentially unknown correlations between columns in a relational database and is therefore a central task in the data mining process. In many cases though, the resulting set ...

    Dietmar Seipel, Marcel Waleska in Artificial Intelligence. ECAI 2023 Interna… (2024)

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    Chapter and Conference Paper

    Variable Neighborhood Search in Hamming Space

    Variable Neighbourhood Search (VNS) is one of the most used meta-heuristics for global optimization. We focus our attention on combinatorial problems and propose a new implementation of VNS in Hamming space. T...

    S. B. Hengeveld, A. Mucherino in Large-Scale Scientific Computations (2024)

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    Chapter and Conference Paper

    Hybrid Approach to Public-Key Algorithms in the Near-Quantum Era

    Application of post-quantum algorithms in newly deployed cryptosystems is necessary nowadays. In the NIST Post-Quantum Competition several algorithms that seem to be resistant against attacks mounted using qua...

    Adrian Cinal, Gabriel Wechta, Michał Wroński in Computational Science – ICCS 2024 (2024)

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    Chapter

    Development and Verification of a Microservice Architecture for a Fire Risk Notification System

    Long periods of dry and cold weather conditions significantly increase fire risks for wooden buildings. Recent advances in predictive fire risk models combined with publicly available cloud-based weather data ...

    Ruben Dobler Strand, Lars M. Kristensen in Transactions on Petri Nets and Other Model… (2024)

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    Chapter and Conference Paper

    Integrated Contract-Based Unit and System Testing for Component-Based Systems

    This paper presents a system testing framework for development of AADL-based systems using the HAMR model-driven development framework. A key theme of the framework is the integration of unit testing and progr...

    John Hatcliff, Jason Belt, Robby, David Hardin in NASA Formal Methods (2024)

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    Chapter and Conference Paper

    Run-Time Assured Reinforcement Learning for Safe Spacecraft Rendezvous with Obstacle Avoidance

    Autonomous spacecraft rendezvous poses significant challenges in increasingly complex space missions. Recently, Reinforcement Learning (RL) has proven effective in the domain of spacecraft rendezvous, owing to...

    Yingmin **ao, Zhibin Yang, Yong Zhou in Dependable Software Engineering. Theories,… (2024)

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    Chapter and Conference Paper

    Cheat-FlipIt: An Approach to Modeling and Perception of a Deceptive Opponent

    The modeling of opponent deception in an intelligent game system is not sufficient. However, an opponent agent may launch deceptive actions to consume defense resources, such as feint. We focus on modeling a d...

    Qian Yao, **nli **ong, Yongjie Wang in Dependable Software Engineering. Theories,… (2024)

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    Chapter and Conference Paper

    Subgroup Discovery with SD4Py

    We present SD4Py, a free open-source Python package for performing subgroup discovery and analysis. SD4Py makes it easy to discover subgroups from data stored in a Pandas data frame, to undertake follow-on analys...

    Dan Hudson, Martin Atzmueller in Artificial Intelligence. ECAI 2023 International Workshops (2024)

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    Chapter and Conference Paper

    General Lines, Routes and Perspectives of Wetware Embodied AI. From Its Organizational Bases to a Glimpse on Social Chemical Robotics

    In this contribution we would like to put forward a proposal about a novel form of AI, called “Wetware Embodied AI”, based on the construction of bio-chemical dynamical systems intended as models of living and...

    Luisa Damiano, Pasquale Stano in Artificial Life and Evolutionary Computation (2024)

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    Chapter and Conference Paper

    Simple Framework for Interpretable Fine-Grained Text Classification

    Fine-grained text classification with similar and many labels is a challenge in practical applications. Interpreting predictions in this context is particularly difficult. To address this, we propose a simple ...

    Munkhtulga Battogtokh, Michael Luck in Artificial Intelligence. ECAI 2023 Interna… (2024)

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    Chapter and Conference Paper

    Enhancing Lifetime Coverage in Wireless Sensor Networks: A Learning Automata Approach

    This paper focuses on enhancing the lifespan of the Wireless Sensor Network (WSN) by integrating a distributed Learning Automaton into its operation. The proposed framework seeks to determine an optimized acti...

    Jakub Gąsior in Computational Science – ICCS 2024 (2024)

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