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Now showing items 61-63 of 63
Predicting COVID-19 cases using bidirectional LSTM on multivariate time series
(
Springer Science and Business Media Deutschland GmbH
, 2021 , Article)
To assist policymakers in making adequate decisions to stop the spread of the COVID-19 pandemic, accurate forecasting of the disease propagation is of paramount importance. This paper presents a deep learning approach to ...
Towards model-based management of database fragmentation
(
USENIX Association
, 2013 , Conference Paper)
The performance of a database can significantly deteriorate due to the fragmentation of data/index files. Manual database defragmentation and performance optimization remain time consuming and even infeasible as it requires ...
LIME: Long-Term Forecasting Model for Desalination Membrane Fouling to Estimate the Remaining Useful Life of Membrane
(
Springer Science and Business Media Deutschland GmbH
, 2023 , Conference Paper)
Membrane fouling is one of the major problems in desalination processes as it can cause a severe drop in the quality and quantity of the permeate water. This paper presents a data-driven approach for long-term forecasting ...