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A reflection on the lackluster growth over the decade since the Global Financial Crisis has renewed interest in preventative measures for a long-standing problem. Advances in machine learning algorithms during this period present promising forecasting solutions. In this context, the paper...
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The shipping industry has been quite successful in reducing the number of major accidents in the past. In order to continue this development in the future, innovative leading risk indicators can make a significant contribution. If designed properly, they enable a forward-looking identification...
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increased non-linearity and rapidly changing dynamics. To address this challenge, we introduce the Transform-Sparsify-Forecast … at short forecast horizons and during periods of high economic uncertainties, attributable to the adaptive realignment of …
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business cycle reports (1998-2021) and classify the signs of institutes' consumption forecast errors. The correlation is strong …
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