IEEE

A Coverage-Aware High-Quality Sensing Data Collection Method in Mobile Crowd Sensing

Abstract: In this paper, we leverage unmanned aerial vehicles (UAVs) to enhance mobile crowd sensing (MCS) by addressing two critical challenges: uncontrollable data quality and inevitable unsensed ...
Journal of Medical Internet Research

Building a Digital Health Research Platform to Enable Recruitment, Enrollment, Data Collection, and Follow-Up for a Highly Diverse Longitudinal US Cohort of 1 Million People in ...

Methods: We collaborated with community members, health care provider organizations (HPOs), and NIH leadership to design, build, and validate a secure, feature-rich digital platform to facilitate ...
BMJ Open

Participatory development of an evaluation and data model for teleconsultations in long-term care: study protocol based on the MRC framework

Introduction Demographic change is resulting in a growing number of individuals requiring nursing care, while the ...
Scientific Research Publishing

A Design Science Study of Blockchain-Based Governance and Incentive Architectures for Ride-Sharing Platforms ()

Based on the literature synthesis and system mapping presented in Section 2.4, a set of design requirements (DRs) was derived ...
IEEE

Research on Financial Big Data Collection and Intelligent Decision-Making System Based on Multimodal Large Language Model

Abstract: With the explosive growth of data in the financial industry, efficient collection, analysis, and utilization of this data have become urgent challenges. This study aims to develop a ...
Los Angeles Times

New California tool can stop brokers from selling your personal online data. Here’s how

This is read by an automated voice. Please report any issues or inconsistencies here. California launches DROP, an online platform enabling residents to request all registered data brokers delete ...