Publicatii recente
Publicatii recente
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Log-Loss Optimization for Boosting a Nash Equilibrium Decision Tree (2025)
Abstract Decision trees rank among the most popular classification tools, employed in practical applications due to their known efficiency. A Nash equilibrium-based decision tree splits node data using the Nash […]
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Resolvi: A Reference Architecture for Extensible, Scalable and Interoperable Entity Resolution (2025)
Abstract Context: Entity resolution (ER) plays a pivotal role in data management by determining whether multiple records correspond to the same real-world entity. Because of its critical importance across domains […]
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Analyzing the Impact of Data Augmentation on Tumor Detection and Classification in Mammograms (2025)
Abstract Breast cancer remains one of the leading causes of mortality among women worldwide, making early detection crucial for improving survival rates. Deep learning-based approaches have shown remarkable potential in […]
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Preprocessing Techniques for Optimizing Mammograms Segmentation: a Cellular Automaton Approach (2025)
Abstract Breast cancer is the most commonly diagnosed cancer among women worldwide, with early detection playing an essential role in improving survival rates. Detection of breast abnormalities at an early […]
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Automatic Characterization of Prostate Suspect Lesions on T2-Weighted Image Acquisitions Using Texture Features and Machine-Learning Methods: A Pilot Study (2025)
Abstract Background: Prostate cancer (PCa) is the most frequent neoplasia in the male population. According to the International Society of Urological Pathology (ISUP), PCa can be divided into two major […]
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Evaluating Large Language Models for Diacritic Restoration in Romanian Texts: A Comparative Study (2025)
Abstract Automatic diacritic restoration is crucial for text processing in languages with rich diacritical marks, such as Romanian. This study evaluates the performance of several large language models (LLMs) in […]
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Traffic Sign Orientation Estimation from Images Using Deep Learning (2025)
Abstract This study presents our findings on estimating the horizontal rotation angle (yaw) of traffic signs from 2D images using deep learning techniques. The aim is to introduce novel approaches […]
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Multiple Crack Detection in Beam-Like Structures Using a Novel Particle Swarm Optimization Approach (2025)
Abstract This paper presents a method for assessing two cracks in simply supported beams by identifying their locations and severities (depths). Our method is based on applying the Particle Swarm […]
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GenGUI: A Dataset for Automatic Generation of Web User Interfaces Using ChatGPT (2025)
Abstract The identification of elements in user interfaces is a problem that can generate great interest in current times due to the significant interaction between users and machines. Digital technologies […]
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Challenges in Software Metrics Adoption: Insights from Cluj-Napoca’s Development Community (2025)
Abstract Established research directions yield concrete outcomes on the benefits of using software metrics in software development processes, such as notable correlations between software metric values and various quality attributes […]
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