Conclusions: There is a potential mismatch between what clinicians identify as important in determining palliative care need and final eligibility determinations. Patients with dementia were less ...

This paper introduces a novel AI-enhanced retirement planning platform that integrates behavioral economics principles with advanced machine learning techniques to optimize financial decision-making.

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Google CEO Sundar Pichai recently shared a post on X announcing a new breakthrough in quantum algorithms. “Our Willow chip has achieved the first-ever verifiable quantum advantage,” Pichai wrote in ...

To overcome the limitations of traditional roller-compacted concrete (RCC) compaction monitoring—which relies on macroscopic experiments, overlooks microscopic mechanisms, and lacks model ...

In today’s market, speed and precision matter. Whether you’re a retail investor building a systematic strategy or an active trader looking to reduce manual execution, automated trading platforms offer ...

The rapid advancement of artificial intelligence (AI) and machine learning (ML) technologies has opened up novel avenues for predicting coal and gas outbursts in coal mines. This study proposes a ...

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: This study proposes a novel approach to optimizing inventory management in retail companies by integrating a machine learning-based demand forecasting model using the XGBoost algorithm.