Results 1 to 10 of about 2,621,042 (198)

Multivariate linear time-series modeling and prediction of cerebral physiologic signals: review of statistical models and implications for human signal analytics [PDF]

Frontiers in Network Physiology
Cerebral physiological signals embody complex neural, vascular, and metabolic processes that provide valuable insight into the brain’s dynamic nature. Profound comprehension and analysis of these signals are essential for unraveling cerebral intricacies,
Nuray Vakitbilir, Amanjyot Singh Sainbhi, Abrar Islam, Alwyn Gomez, Alwyn Gomez, Kevin Yuwa Stein, Logan Froese, Tobias Bergmann, Davis McClarty, Rahul Raj, Frederick Adam Zeiler, Frederick Adam Zeiler, Frederick Adam Zeiler, Frederick Adam Zeiler   +13 more
doaj   +2 more sources

GDP Forecasting: Machine Learning, Linear or Autoregression?

Frontiers in Artificial Intelligence, 2021
This paper compares the predictive power of different models to forecast the real U.S. GDP. Using quarterly data from 1976 to 2020, we find that the machine learning K-Nearest Neighbour (KNN) model captures the self-predictive ability of the U.S. GDP and
Giovanni Maccarrone, Giacomo Morelli, Sara Spadaccini, Sara Spadaccini   +3 more
doaj   +1 more source

Incident Analysis and Prediction of Safety Performance on Construction Sites

CivilEng, 2022
The hazardous nature of the construction environment and current incident statistics indicate a pressing need for safety performance improvement. One potential approach is the strategic analysis of leading indicators for measuring safety performance as ...
Ibukun Awolusi, Eric Marks, Alexander Hainen, Ammar Alzarrad   +3 more
doaj   +1 more source

Forecasting Network Traffic: A Survey and Tutorial With Open-Source Comparative Evaluation

IEEE Access, 2023
This paper presents a review of the literature on network traffic prediction, while also serving as a tutorial to the topic. We examine works based on autoregressive moving average models, like ARMA, ARIMA and SARIMA, as well as works based on Artifical ...
Gabriel O. Ferreira, Chiara Ravazzi, Fabrizio Dabbene, Giuseppe C. Calafiore, Marco Fiore   +4 more
doaj   +1 more source

Effectiveness of COVID-19 Vaccines: Evidence from the First-Year Rollout of Vaccination Programs

Vaccines, 2022
The COVID-19 pandemic has raised a number of new realities, sets of data, and opportunities for data-driven approaches, decisions, and conclusions. One particular area for which developments and data have been made available in record time is related to ...
Nuno Antonio, Paulo Rita, Pedro Saraiva
doaj   +1 more source

Economic Valuation of Mangroves and a Linear Mixed Model-Assisted Framework for Identifying Its Main Drivers: A Case Study in Benin

Land, 2023
Mangroves are brackish wetland ecosystems found in tropical areas. They are highly productive ecosystems that contribute to the economic empowerment of local communities.
Corine Bitossessi Laurenda Sinsin, Alice Bonou, Kolawolé Valère Salako, Rodrigue Castro Gbedomon, Romain Lucas Glèlè Kakaï   +4 more
doaj   +1 more source

Improving prediction of mountain snowfall in the southwestern United States using machine learning methods

Meteorological Applications, 2023
Snowfall forecasting has historically been an area of difficulty for operational meteorologists, particularly in regions of complex terrain, such as the western United States.
Charles Andrew Hoopes, Christopher L. Castro, Ali Behrangi, Mohammed Reza Ehsani, Patrick Broxton   +4 more
doaj   +1 more source

How Machine Learning and Statistical Models Advance Molecular Diagnostics of Rare Disorders Via Analysis of RNA Sequencing Data

Frontiers in Molecular Biosciences, 2021
Rare diseases, although individually rare, collectively affect approximately 350 million people worldwide. Currently, nearly 6,000 distinct rare disorders with a known molecular basis have been described, yet establishing a specific diagnosis based on ...
Lea D. Schlieben, Lea D. Schlieben, Holger Prokisch, Holger Prokisch, Vicente A. Yépez, Vicente A. Yépez   +5 more
doaj   +1 more source

Modelling water temperature in the lower Olifants River and the implications for climate change

South African Journal of Science, 2022
Freshwater systems in southern Africa are under threat of climate change, not only from altered flow regimes as rainfall patterns change, but also from biologically significant increases in water temperature.
Amanda L. Adlam, Christian T. Chimimba, D.C. Hugo Retief, Stephan Woodborne   +3 more
doaj   +1 more source

Comparison between Time- and Observation-Based Gaussian Process Regression Models for Global Horizontal Irradiance Forecasting

Solar, 2022
With the development of predictive management strategies for power distribution grids, reliable information on the expected photovoltaic power generation, which can be derived from forecasts of global horizontal irradiance (GHI), is needed.
Shab Gbémou, Julien Eynard, Stéphane Thil, Stéphane Grieu   +3 more
doaj   +1 more source