23+ hour, 16+ min ago   (507+ words) Modern corporate networks operate in increasingly complex and heterogeneous environments, which complicates the objective assessment of their current security state. This study proposes a dual-channel multi-level model for quantitative assessment of data security in corporate networks using a predefined list…...

4+ day, 19+ hour ago   (537+ words) Automating the identification of International Classification of Diseases (ICD) codes from electronic health records (EHRs) presents a critical challenge, particularly for rare diseases where existing computational methods severely underperform due to extreme long-tail label distributions. To address this, we propose a…...

1+ week, 1+ hour ago   (341+ words) This paper presents a computational pipeline for window-level semantic enrichment of texture-mapped building models used in urban digital twins (UDTs). The pipeline combines SAM-based candidate generation, super-resolution-based input matching (SRIM), a fine-tuned ResNet-50 window/non-window classifier, and texture-to-mesh mapping to…...

1+ week, 4+ day ago   (694+ words) Machine learning has become a widely adopted approach for URL-based phishing detection, with many studies reporting F1 scores exceeding 0.95 on benchmark datasets. However, recent adversarial machine learning research has questioned the robustness of these models, suggesting that small input perturbations can…...

2+ week, 6+ day ago   (698+ words) Background: Medication non-adherence is a major driver of poor therapeutic outcomes, and computer vision methods that observe facial movements offer a non-contact route to verifying oral medication intake. Objective: To map and synthesize the existing literature on computer vision techniques…...

3+ week, 4+ day ago   (367+ words) To address the inherent limitations of the traditional Aquila Optimizer (AO)—specifically slow convergence, susceptibility to local optima, and limited high-dimensional adaptability—this study proposes a multi-strategy Improved Aquila Optimizer algorithm. Key enhancements include the integration of a logarithmically decaying…...

3+ week, 5+ day ago   (462+ words) Fine-grained sports recognition from static images is challenging because visually similar sports often exhibit nearly identical human poses, whereas their decisive differences are encoded by small-scale equipment and subtle human–equipment interactions. Existing single-stream convolutional or Transformer-based models tend to…...