The integration of artificial intelligence (AI) and machine learning (ML) within the Open Radio Access Network (O-RAN) xApps introduces significant enhancements to network automation and anomaly detection. However, th...
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In many elections or competitions, a set of voters assign points to the candidates in a way that indicates their preferences, with the winning candidate being the candidate with the highest total score. When it comes ...
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Originally presented in previous work to capture the set of fundamental elements of the UML state machine specification, Common Declarative Language (CDL) provides a model that can aid in the validation and verificati...
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Liver cancer remains a leading cause of global mortality, driving interest in computer-aided diagnosis for liver tumor detection. Existing methods typically focus on individual lesions and avoid the impact of neighbor...
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Imposter syndrome is a psychological phenomenon that affects individuals who doubt their skills and abilities, despite possessing the necessary competencies. This can lead to a lack of confidence and poor performance....
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ISBN:
(纸本)9783031615689;9783031615696
Imposter syndrome is a psychological phenomenon that affects individuals who doubt their skills and abilities, despite possessing the necessary competencies. This can lead to a lack of confidence and poor performance. While research has explored the impacts of imposter syndrome on students and professionals in various fields, there is limited knowledge on how it affects code comprehension in software engineering. In this exploratory study, we investigate the prevalence of imposter syndrome among final-year undergraduate computerscience students and its effects on their code comprehension cognition using an eye tracker and heart rate monitor. Key findings demonstrate that students identifying as male exhibit lower imposter syndrome levels when analyzing code, and higher imposter syndrome is associated with increased time reviewing a code snippet and a lower likelihood of solving it correctly. This study provides initial data on this topic and establishes a foundation for further research to support student academic success and improve developer productivity and mental well-being.
Active Speaker Detection (ASD) is a multi-modal task which aims to identify speakers using both audio and visual cues. Existing approaches often focus solely on facial and audio features, overlooking the importance of...
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The threat of fake news jeopardizing the credibility of online news platforms, particularly on social media, underscores the need for innovative solutions. This paper proposes a creative engine for detecting fake news...
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We construct a continuous, aggregated, and dynamic model for the exploitation of gas fields. The model takes into account the depth of deposit occurrence. As a control element, the model makes use of the drilling spee...
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Ökolopoly is a serious game developed by biochemist Frederic Vester with the goal to enhance understanding of interactions in complex systems. Due to its vast observation and action spaces, it presents a challeng...
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Legal Outcome Prediction (LOP) is the process of predicting the possible outcome of a court case based on the case file. The aim of this work is to assess the performance of four deep learning models namely BERT, Lega...
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