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StackOverflow (SO), a prominent question-answering site for programming, has amassed a vast repository of user-generated content since its inception in 2008. This paper conducts a thorough analysis of research trends on SO, examining 170 publications ...

Ransomware attacks have become a major threat to organizations across all sectors, causing significant financial and reputational damage. To address this challenge, this contribution presents a threat-led approach to mitigating ransomware attacks, based ...

Federated Learning (FL) is an emerging Artificial Intelligence (AI) paradigm enabling multiple parties to train a model collaboratively without sharing their data. With the upcoming Sixth Generation (6 G) era, FL is expected to adopt a more ...

The “metaverse” has gained immense attention as the next internet frontier, holding significant economic implications, especially for the IT sector. To establish the groundwork for immersive metaverse spaces, our comprehensive scoping review ...

Robust findings of citations have a positive impact on researchers and significantly contribute to academic development. As a paper is cited more frequently or used as a reference in other articles, its citation count increases. Papers with higher ...

Artificial intelligence (AI) is continuously evolving; however, in the last 10 years, it has gotten considerably more difficult to explain AI models. With the help of explanations, end users can understand the outcomes generated by AI models. The ...

The Brazilian General Data Protection Law (LGPD) implementation has impacted activities carried out by the software development teams. Due to it, developers had to become aware of the existing techniques and tools to carry out privacy requirements ...

Weakly-Supervised Object Detection (WSOD) and Localization (WSOL), i.e., detecting multiple and single instances with bounding boxes in an image using image-level labels, are long-standing and challenging tasks in object detection. ...

During the software development process and throughout the software lifecycle, organizations must guarantee users’ privacy by protecting personal data. There are several studies in the literature proposing methodologies, techniques, and tools for ...

The human brain responds better to visual information when compared to plain text. In other words, our brain consumes visual information more easily than text-only content, which helps improve communication, sharing and retaining information, ...$$

In automated essay scoring (AES) systems, similarity techniques are used to compute the score for student answers. Several methods to compute similarity have emerged over the years. However, only a few of them have been widely used in the AES ...

Testing is the process of evaluating a system by manual or automated means. While Regression Test Selection (RTS) discards test cases and Test Suite Minimization (TSM) shows diminution in fault detection rate, Test Case Prioritization (...

With the expansion of the Chinese securities market and the gradual standardization, a large number of financial frauds have been exposed. This has become a serious problem in the development of Chinese securities market, and must be paid sufficient ...

Face recognition is an efficient technique and one of the most preferred biometric modalities for the identification and verification of individuals as compared to voice, fingerprint, iris, retina eye scan, gait, ear and hand geometry. This has ...

This paper discusses the implementation of the Escaping Technique in an Online Inventory System to prevent the Cross Site Scripting (XSS) attack. It also covers discussion about XSS described as a kind of injection attack that injects malicious scripts ...

Data Mining in medicine is an emerging field of great importance to provide a prognosis and deeper understanding of disease classification, specifically in Mental Health areas. The main objective of this paper is to present a review of the existing ...

The objective of this article is to analyze the factors that may influence the results t of a systematic literature review SLR in Social Sciences and Humanities. It is a case study focused on the analysis of a SLR centered on reading research and ...

The main objective of this paper is to present a review of existing researches in the literature, referring to Big Data sources and techniques in health sector and to identify which of these techniques are the most used in the prediction of chronic ...

Display Omitted An hybrid approach for vector control of the three-phase induction motor is proposed.The proposed approach combines in a different manner that existing in literature the two techniques: the artificial neuronal network (ANN) and the fuzzy ...

With the advancement of Information Technology, web is growing rapidly and it has became necessary part of our daily lives. It is mandate to study the navigation behavior of the user to improve the quality of web site design for personalization and ...