Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

Thank you, Charles. As we continue to purposely engineer our work to drive higher automation, a lower cost to serve, and improve customer outcomes, all of this is aimed at building the best model for ...

This guidance provides enterprise deployment patterns for Claude Code with Amazon Bedrock using existing identity providers. Integrates with your IdP (Okta, Azure AD, Auth0, Cognito User Pools) for ...

Abstract: Flood mapping using remote sensing data is critical to disaster response, especially in real-time monitoring and edge deployment. However, existing deep-learning (DL) models often face ...

Introduction: An inherited blood disorder that bounds the production of beta globin, an important protein that has a handsome contribution in the development of hemoglobin and Red Blood Cells (RBC).

By 2026, the convergence of Generative AI and humanoid form factors will enable robots to autonomously execute complex tasks. With 85 million global jobs projected to go unfilled by 2030, intelligent ...

Background: Rapid advances in artificial intelligence (AI) have enabled automated tumor identification. To overcome challenges in traditional pathology, including complex sampling and limited ...

Abstract: This paper investigates the attitude tracking control problem for spacecraft. A tanh-type self-learning control (TSLC) approach with variable learning intensity (VLI) is proposed, which ...

Maybe we missed these details the first time we watched the Toy Story movies – and maybe we also missed them the second time, ...