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Baskhad Idrisov and Tim Schlippe
Our paper compares the correctness, efficiency, and maintainability of human-generated and AI-generated program code. For that, we analyzed the computational resources of AI- and human-generated program code using metrics such as time and space complexit...
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Raquel Hijón-Neira, Celeste Pizarro, John French, Pedro Paredes-Barragán and Michael Duignan
Students in their first year of computer science (CS1) at universities typically struggle to grasp fundamental programming concepts. This paper discusses research carried out using a Java-based visual execution environment (VEE) to introduce fundamental ...
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Sergiu Zaharia, Traian Rebedea and Stefan Trausan-Matu
The research presented in the paper aims at increasing the capacity to identify security weaknesses in programming languages that are less supported by specialized security analysis tools, based on the knowledge gathered from securing the popular ones, f...
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Christos Troussas, Akrivi Krouska, Panagiota Tselenti, Dimitrios K. Kardaras and Stavroula Barbounaki
The extensive pool of content within educational software platforms can often overwhelm learners, leaving them uncertain about what materials to engage with. In this context, recommender systems offer significant support by customizing the content delive...
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Raquel Hijón-Neira, Cornelia Connolly, Celeste Pizarro and Diana Pérez-Marín
There is a growing interest in finding new ways to address the difficult task of introducing programming to secondary students for the first time to improve students? computational thinking (CT) skills. Therefore, extensive research is required in this f...
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Mustafa Can Gursesli, Mehmet Emin Selek, Mustafa Oktay Samur, Mirko Duradoni, Kyoungju Park, Andrea Guazzini and Antonio Lanatà
The rapid development of technology has led to the implementation of data-driven systems whose performance heavily relies on the amount and type of data. In the latest decades, in the field of bioengineering data management, among others, eye-tracking da...
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Libero Nigro and Pasi Fränti
This paper proposes two algorithms for clustering data, which are variable-sized sets of elementary items. An example of such data occurs in the analysis of a medical diagnosis, where the goal is to detect human subjects who share common diseases to poss...
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Libero Nigro
K-means is a well-known clustering algorithm often used for its simplicity and potential efficiency. Its properties and limitations have been investigated by many works reported in the literature. K-means, though, suffers from computational problems when...
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Santiago Tapia-Fernández, Daniel García-García and Pablo García-Hernandez
Most computer programs or applications need fast data structures. The performance of a data structure is necessarily influenced by the complexity of its common operations; thus, any data-structure that exhibits a theoretical complexity of amortized const...
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A. Krasnova,A. Obukhov,A. Romanova,A. Susanov
Pág. 115 - 122
This article discusses the development of a mobile application in the Java programming language that helps people with color blindness. A method for developing a mobile application is described, which includes a comparison of analogues, an algorithm for ...
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