The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...
Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...
Z Advanced Computing, Inc. (ZAC), the pioneer CognitiveExplainable-AI (Artificial Intelligence) (Cognitive XAI or CXAI) software startup, has been recognized as far superior to the current algorithms ...
Blood oxygen level-dependent functional magnetic resonance imaging (BOLD-fMRI) is a cornerstone of non-invasive brain function investigation, yet its ...
Abstract: Electroencephalography (EEG) is a vital neurodiagnostic tool widely used for identifying brain-related disorders due to its non-invasive nature, high temporal resolution, and ...
Abstract: Imbalanced image classification faces critical challenges in balancing the quality and diversity of synthetic minority samples. This article proposes the improved estimation distribution ...
Abstract: Convolutional Neural Networks (CNNs) play a crucial role in deep learning for medical imaging, offering highly accurate detection of various lung diseases. This study strives to diagnose ...
The US Centers for Disease Control and Prevention suffered another round of deep staff cuts late Friday, with disease detectives, outbreak forecasters, policy and data offices among those impacted, ...
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