Transfer Learning with Transformer-Based Models for Mine Water Inrush Prediction: A Multivariate Analysis Using Sparse and Imbalanced Monitoring Data
Predictions of mining-induced water inrush accidents are challenged by data sparseness
and imbalances, as very few high-quality datasets can be obtained for successfully …
and imbalances, as very few high-quality datasets can be obtained for successfully …
Multi-Tempo Forecasting of Soil Temperature Data; Application over Quebec, Canada
The profound impact of soil temperature (TS) on crucial environmental processes, including
water infiltration, subsurface movement, plant growth, and its influence on land–atmosphere …
water infiltration, subsurface movement, plant growth, and its influence on land–atmosphere …
Empirical prediction intervals for additive Holt–Winters methods under misspecification
B Yang, X Tang, CY Yau - Journal of Forecasting, 2024 - Wiley Online Library
Holt–Winters (HW) methods have been widely used by practitioners for the prediction of time
series. However, traditional prediction intervals associated with the HW methods are only …
series. However, traditional prediction intervals associated with the HW methods are only …
Prediction of hotspots in riau province, indonesia using the autoregressive integrated moving average (ARIMA) model
Various forms of disasters occur worldwide, one of which is fire. Indonesia has been
suffering from frequent land and forest fires. These events are not a new phenomenon and …
suffering from frequent land and forest fires. These events are not a new phenomenon and …
[PDF][PDF] Prediction of Hotspots in Riau Province, Indonesia Using the Autoregressive Integrated Moving Average (ARIMA) Model
SL Rosa - SAR Journal (Science and Research) - repository.uir.ac.id
Various forms of disasters occur worldwide, one of which is fire. Indonesia has been
suffering from frequent land and forest fires. These events are not a new phenomenon and …
suffering from frequent land and forest fires. These events are not a new phenomenon and …
Empirical Prediction Intervals for Time Series Models Under Misspecification
B Yang - 2022 - search.proquest.com
Abstract Univariate Box-Jenkins and Holt-Winters (HW) methods have been widely used by
practitioners for the prediction of time series. Although predictions in univariate Box-Jenkins …
practitioners for the prediction of time series. Although predictions in univariate Box-Jenkins …