A Deep Learning Framework for Using Search Engine Data to Predict Influenza-Like Illness and Distinguish Epidemic and Nonepidemic Seasons: Multifeature Time Series Analysis ...

Cisco's Deep Network Model relies on telemetry data from ThousandEyes, AppDynamics, and NetFlow; AI Canvas troubleshoots network issues with real-time dashboards that guide corrective actions. SAN ...

Introduction: Precision agriculture is revolutionizing modern farming by integrating data-driven methodologies to enhance crop productivity while promoting sustainability. Traditional time series ...

1 Sichuan Digital Economy Industry Development Research Institute, Xi‘an Jiaotong University, Chengdu, China 2 Department of Art and Design, Taiyuan University, Taiyuan, Shanxi, China Introduction: ...

ABSTRACT: With the development of the Industrial Internet of Things (IIoT) and cloud computing technologies, intelligent sensors in the field that can generate large volumes of time-series data ...

Abstract: Fringe projection is widely used in scientific research and industrial measurement, due to its cost-effectiveness and precision. Nonetheless, acquiring massive fringe projection image ...

ABSTRACT: Time series forecasting is essential for generating predictive insights across various domains, including healthcare, finance, and energy. This study focuses on forecasting patient health ...