Publicatii recente
Publicatii recente
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Using Ensemble Models for Malicious Web Links Detection (2024)
Abstract Web technology advances faster than humans can adapt to it and develop the proper online skills. Most users are not experienced enough to have a good online knowledge on […]
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UICVD: A Computer Vision UI Dataset for Training RPA Agents (2024)
Abstract This paper introduces the UICVD Dataset, a novel resource fostering advancements in Robotic Process Au-tomation (RPA) and Computer Vision. The paper focuses on recognizing UI (User Interface) components of […]
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Quiz-Ifying Education: Exploring the Power of Virtual Assistants (2024)
Abstract Technology offers transformative potential for educational innovation. This paper introduces a novel approach by harnessing virtual assistants, specifically through an Alexa quiz skill tailored for university students, to enhance […]
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Significance of Training Images and Feature Extraction in Lesion Classification (2024)
Abstract Proper treatment of breast cancer is essential to increase survival rates. Mammography is a widely used, non-invasive screening method for breast cancer. A challenging task in mammogram analysis is […]
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Using Chat GPT for Malicious Web Links Detection (2024)
Abstract Over the last years, the Internet has monopolized most businesses and industries. These outstanding advancements lead to the dangerous development of specialized threats employed to outsmart everyday users, collect […]
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Evaluating cooperative-competitive dynamics with deep Q-learning (2023)
Abstract We model cooperative-competitive social group dynamics with multi-agent environments, specialized in cases with a large number of agents from only a few distinct types. The multi-agent optimization problems are […]
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Multi-objective Optimization for Multi-Robot Path Planning on Warehouse Environments (2023)
Abstract Today, robots can be found in almost any field. Examples include robots for transporting materials in hospitals and warehouses, surveillance, intelligent laboratories and space exploration. Whatever the reason for […]
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Assessment of cracks in beams using changes in the measured frequencies and Particle Swarm Optimization (2023)
Abstract This paper presents a method for detecting a crack in simply supported beams by identifying its location and severity (depth). The method is based on the measured natural frequencies […]
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Identification of influential nodes with Shapley Influence Maximization Extremal Optimization algorithm (2023)
Abstract The Influence Maximization Problem is a challenging computational task with multiple real-world applications. A new approach to this problem based on cooperative game theory and optimization called the Shapley Influence Maximization […]
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An Evolutionary Approach to Feature Selection and Classification (2023)
Abstract The feature selection problem has become a key undertaking within machine learning. For classification problems, it is known to reduce the computational complexity of parameter estimation, but it also […]
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