Reset
Showing 6 of 6 academic articles

Single-Case Experimental Designs to Evaluate Novel Technology-Based Health Interventions

Dallery, Jesse, Cassidy, Rachel N, Raiff, Bethany R • Journal of Medical Internet Research (2013)

Technology-based interventions to promote health are expanding rapidly. Assessing the preliminary efficacy of these interventions can be achieved by employing single-case experiments (sometimes referred to as n-of-1 studies). Although singl...

DOAJ Open Access (DOAJ) DOI: 10.2196/jmir.2227

Gold Price Forecasting using Time Series Modeling on a Web Platform

Dwi Ratna Puspita Sari, Sirli Fahriah, Kurnianingsih, Santi Purwaningrum • Journal of Innovation Information Technology and Application (2025)

Gold is one of the most favored investment instruments due to its stability and its ability to preserve value against inflation. However, its price movements are volatile and influenced by various global economic factors, currency exchange ...

DOAJ Open Access (DOAJ) DOI: 10.35970/4p33wz16

Detection of short-term peaks in VLF/LF signals around the time of gamma-ray burst detections using deep learning

Sarnovský M., Nina A., Popović L.Č., Srećković V. et al. • Serbian Astronomical Journal (2026)

Gamma-ray bursts (GRBs) are recognized as the most energetic and luminous astrophysical phenomena whose high-energy photons can ionize atmospheric particles and thus affect electrical conductivity. Consequently, electromagnetic waves ...

DOAJ Open Access (DOAJ) DOI: 10.2298/SAJ2612107S

Time-series forecasting with deep learning: a survey

Bryan Y. Lim, Stefan Zohren • Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2021)

Numerous deep learning architectures have been developed to accommodate the diversity of time-series datasets across different domains. In this article, we survey common encoder and decoder designs used in both one-step-ahead and multi-hori...

OPENALEX Open Access DOI: https://doi.org/10.1098/rsta.2020.0209

A Sensor-to-API Data Infrastructure for Building Digital Twins: Harmonizing Multi-Rate IoT Energy and Indoor Data Streams for Proactive Analytics

J. W. Njoroge, M. Koeva, M. Farnaghi, D. Petrova-Antonova et al. • ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2026)

Digital twins are increasingly used in smart buildings to monitor energy use. This requires reliable sensor data, geospatial information, and semantically rich 3D building geometry. However, building sensor data often has inconsistent sampl...

DOAJ Open Access (DOAJ) DOI: 10.5194/isprs-annals-XII-4-W1-2026-251-2026