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

The CT-based whole-lung radiomic nomogram accurately identifies AECOPD and offers a robust tool for clinical diagnosis and treatment planning.

These questions come from my Udemy training and the certificationexams.pro website, resources that have helped many students pass the DP-100 certification. These are not DP-100 exam dumps or ...

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 .

Objective: This study aimed to develop and evaluate a machine learning (ML)–based algorithm to predict whether an initial vancomycin dose falls within the therapeutic range of the 24-hour area under ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Study thoroughly, practice consistently, and gain hands-on experience with security tools, ...

We designed a model to predict the timing of gastrostomy requirement in ALS as indicated by 5% weight loss from diagnosis. We considered >5000 different prediction model configurations including ...

As artificial intelligence (AI) becomes a fixture across a broad range of technological fields, AI technology continues to evolve at rapid rates.

Abstract: As Unmanned Aerial Vehicles (UAV s) are increasingly deployed in both civil and military domains, it is common for multiple UAV s to operate within shared airspace. Therefore, effective ...