Open Access
Articles
Dr. Kaelen R. Novarik, Dr. Mira S. Talven (Author) 1
Pages: 90-95 || Published: 2024-12-28
Background: The clinical evaluation and management of common foot and ankle deformities, such as hallux valgus, are critically dependent on precise measurements of specific angles from weight-bearing radiographs [19]. The conventional manual method for these measurements is known to be time-consuming and suffers from signific... More >
Open Access
Articles
Ibrahim A. Idris, Zanele T. Khumalo (Author) 1
Pages: 1-16 || Published: 2024-12-02
Computer Vision (CV), a rapidly evolving field within Artificial Intelligence (AI), holds immense potential for addressing a wide array of societal and economic challenges globally. While a significant portion of global CV research is concentrated in a few established regions, there is a burgeoning and distinct landscape of CV innovation emer... More >
Open Access
Articles
Dr. Clara Moreau, Prof. Julia Weber (Author) 1
Pages: 96-112 || Published: 2024-12-30
The increasing deployment of machine learning (ML) systems in high-stakes domains necessitates robust fairness evaluation. Traditional fairness metrics primarily focus on statistical disparities in outcomes, often overlooking the model's confidence in its predictions, particularly for sensitive subgroups. This article proposes a novel framewo... More >
Open Access
Articles
Alejandro Gómez, Fatima Al-Khalifa (Author) 1
Pages: 17-36 || Published: 2024-12-09
Visual Reinforcement Learning (VRL) agents frequently suffer from a significant "generalization gap," exhibiting degraded performance when deployed in environments that subtly differ from their training conditions. This paper provides a comprehensive analysis of the factors contributing to this discrepancy, integrating theoretical insights wi... More >
Open Access
Articles
Dr. William Harper, Ethan Navarro, Dr. Luca Conti (Author) 1
Pages: 37-53 || Published: 2024-12-13
The integration of Artificial Intelligence (AI) into critical decision-making processes necessitates transparent and understandable explanations, especially for non-expert users (laypeople). While traditional Explainable AI (XAI) methods often present technical details that remain inscrutable to a lay audience, this article investigates the p... More >
Open Access
Articles
Dr. Sophia Chen, Dr. Marcus J. Rivera (Author) 1
Pages: 54-70 || Published: 2024-12-18
Cryptographic hash functions are cornerstones of digital security, inherently designed to resist preimage attacks—the computational challenge of finding an input that generates a specific output hash. Despite this design principle, certain hash functions, particularly their reduced-round versions or older standards, can exhibit vulnerabilitie... More >
Open Access
Articles
Prof. Li Wei, Alessia Romano (Author) 1
Pages: 71-89 || Published: 2024-12-25
The proliferation of complex machine learning (ML) models in critical domains such as healthcare, finance, and real estate has underscored the urgent need for Explainable Artificial Intelligence (XAI) [2, 3, 4, 31, 43, 45]. While these "black-box" models often achieve superior predictive performance, their inherent lack of transparency hinder... More >
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