Automated Email Sorting in Organizations: A Machine Learning based Multi-Class Classification System
Abstract: Email communication enables seamless communication, collaboration, and decision-making processes across diverse organizational structures. The ability to efficiently organize, analyze, and ...
Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.
BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...
As we approach the AI Impact Summit 2026, global AI exosystems are undergoing a brutal yet necessary recalibration. Those calibrations are driven by t.
Researchers claim that leading image editing AIs can be jailbroken through rasterized text and visual cues, allowing prohibited edits to bypass safety filters and succeed in up to 80.9% of cases.
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Kennesaw State University (KSU) is stepping into the future of workforce-ready education with the launch of a new Bachelor’s degree ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Microplastic Spectral Classification Using Deep Learning with Denoising and Dimensionality Reduction
Abstract: Microplastic pollution poses a significant environmental threat, especially in marine ecosystems. It is necessary to have advanced techniques for accurate identification and classification.
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