Budoen, A. , Zhang, M. and Jr., L. (2025) A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites. Open Access Library Journal, 12, 1-22. doi: ...

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

A new study employing novel single-cell multimodal data revealed key insights into the tumor microenvironment predictive of NSCLC treatment response.

Read this deep dive into six patents that reveal how Google's AI Overviews and AI Mode work – and what it all means for the ...

Common use cases of AI in the supply chain illustrate the benefits for companies of integrating AI into their operations.

Recently, with the emergence of SSL/TLS encryption protocols in the modern Internet environment, the traditional payload-based classification methods are no longer ... we designed a novel multimodal ...

Eye-Tracking, Machine Learning, Distance Learning, Online Learning, E-Learning, Bibliometric Analysis Share and Cite: Ayan, E ...

The learning ... We compare our approach to the deep belief network (DBN) and stacked autoencoder (SAE) based techniques for hyperspectral image classification. We find that in the practical scenario, ...

The new benchmark, called Elephant, makes it easier to spot when AI models are being overly sycophantic—but there’s no ...

As the AI economy reshapes careers, practical skills, internships, and certifications are becoming more valuable, as well as ...

Medical-grade sensors, 95% tracking accuracy, and 6-day battery life make this ultra-light smart ring the most compelling ...