Results 1 to 10 of about 30,979,719 (362)
SSRN Electronic Journal, 2016 44 pages; a trivial typo corrected, references updated; to appear in The Journal of Investment Strategies.
Kakushadze, Zura, Yu, Willie
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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 PhysiologyCerebral 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 +13 more
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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 +3 more
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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 +4 more
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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 +5 more
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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 +3 more
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Data Driven Forecasting Models for Urban Air Pollution: MoreAir Case Study
IEEE Access, 2023 Artificial Intelligence has the potential to contribute to sustainable cities, life on land, and climate action. Specifically, data-driven AI models can analyze large, interconnected databases to develop joint environmental actions.
Safaa Berkani +4 more
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Adult-born granule cells improve stimulus encoding and discrimination in the dentate gyrus
eLife, 2023 Heterogeneity plays an important role in diversifying neural responses to support brain function. Adult neurogenesis provides the dentate gyrus with a heterogeneous population of granule cells (GCs) that were born and developed their properties at ...
Diego M Arribas +2 more
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Frontiers in Environmental Science, 2021 Near-surface air (Ta) and land surface (Ts) temperatures are essential parameters for research in the fields of agriculture, hydrology, and ecological changes, which require accurate datasets with different temporal and spatial resolutions.
Yi Liu +4 more
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Entropy, 2023 We present an analysis of the pseudorapidity η and transverse momentum pT distributions of charged hadrons in pp collisions for the kinematic range of ...
Muhammad Ajaz +9 more
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