Serologic biomarkers have emerged as a powerful tool for the diagnosis of Inflammatory Bowel Disease (IBD) and the differentiation between subgroups of IBD. However, missingness in serologic data can adversely affect the efficacy of any form of stati... read more
In this study, extraction parameters to increase the biological activities of Lentinula edodes extracts were optimized using both Response Surface Methodology (RSM) and Artificial Neural Network-Genetic Algorithm (ANN-GA) hybrid models. Antioxidant, ... read more
Identifying the most prominent nodes in complex networks becomes more critical for applications such as information propagation, epidemic control, and network robustness. In network structure analysis, centrality measures typically use the network's ... read more
The IoT has posed novel cyber-physical vulnerabilities due to the fast proliferation of Internet of Things (IoT) systems. Old network-based intrusion detection solutions can poorly identify malicious activities that are caused by on-device sensors. T... read more
Interpretable, automated Artificial Intelligence (AI) solutions are essential for accurate 12-lead electrocardiogram (ECG) arrhythmia classification because they remove the time-consuming and inconsistent aspects of manual interpretation. Current mod... read more
The exponential growth of video data from surveillance and online platforms has heightened the demand for intelligent, explainable systems capable of detecting violence in real time. This study proposes a novel Explainable Attention-Enhanced Convolut... read more
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