Researchers have demonstrated a scalable time-series framework using Haar wavelets and exact FAISS indexing that retrieves physical structural patterns across ...
A major update to the open-source flow-models framework introduces an interactive web interface for analyzing network flows and evaluating elephant ...
Surveillance models can generate substantial false signals of geographic transmission in negative-control zoonoses when baseline regional risk is improperly specified.
A factor-augmented analysis of the EU-27 from 1970 to 2019 reveals that macroeconomic business cycles and international trade structures drive ...
Researchers have developed and validated an integrated machine learning and language model decision support pipeline that automates financial forecasting, risk ...
A new multi-input LSTM framework improves day-ahead residential load forecasting by independently encoding daily and weekly temporal patterns, achieving the ...
A population-based study reveals that cross-border fertility treatments in Czechia dropped by 27 percent during the COVID-19 pandemic while domestic ...
A fifteen-year time series study found that secondhand smoke exposure in homes across Brazilian capital cities declined from 12.7 percent ...
Researchers demonstrated that combining bidirectional long short-term memory networks with ensemble empirical mode decomposition reduced groundwater level forecasting errors by ...
Researchers demonstrated that recurrence quantification analysis can evaluate stability, regime shifts, and structural differences across one hundred cryptocurrencies without complex ...
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