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DIDS : a Deep Neural Network based real-time Intrusion detection system for IoT

Vishwakarma, Monika; Kesswani, Nishtha - In: Decision analytics journal 5 (2022), pp. 1-9

The number of people using the Internet of Things (IoT) devices has exploded in recent years. The instantaneous … the constrained devices, current solutions are insufficient to protect the complete safety scope of IoT networks. An … Learning (DL) techniques, skilled in embedding intellect in IoT devices and networks, can address various security issues. In …

Persistent link: https://www.econbiz.de/10014337042

Short-term inflation projections : a Bayesian vector autoregressive approach

Giannone, Domenico; Lenza, Michele; Momferatou, Daphne; … - In: International journal of forecasting 30 (2014) 3, pp. 635-644

Persistent link: https://www.econbiz.de/10010514782

Empirical calibration of adaptive learning

Berardi, Michele; Galimberti, Jaqueson K. - 2015

Adaptive learning introduces persistence in the evolution of agents' beliefs over time. For applied purposes this is a convenient feature to help explain why economies present sluggish adjustments towards equilibrium. The pace of learning is directly determined by the gain parameter, which...

Persistent link: https://www.econbiz.de/10011316387

News media versus FRED-MD for macroeconomic forecasting

Ellingsen, Jon; Larsen, Vegard Høghaug; Thorsrud, Leif … - In: Journal of applied econometrics 37 (2022) 1, pp. 63-81

Persistent link: https://www.econbiz.de/10013165174

Can news help measure economic sentiment? : an application in COVID-19 times

Aguilar, Pablo; Ghirelli, Corinna; Pacce, Matías; … - In: Economics letters 199 (2021), pp. 1-4

Persistent link: https://www.econbiz.de/10012605959

News media vs. FRED-MD for macroeconomic forecasting

Ellingsen, Jon; Larsen, Vegard Høghaug; Thorsrud, Leif … - 2020

Using a unique dataset of 22.5 million news articles from the Dow Jones Newswires Archive, we perform an in depth real-time out-of-sample forecasting comparison study with one of the most widely used data sets in the newer forecasting literature, namely the FRED-MD dataset. Focusing on U.S. GDP,...

Persistent link: https://www.econbiz.de/10012417502

News media vs. FRED-MD for macroeconomic forecasting

Ellingsen, Jon; Larsen, Vegard Høghaug; Thorsrud, Leif … - 2020

Persistent link: https://www.econbiz.de/10012304069

Forecasting the Brent oil price : addressing time-variation in forecast performance

Manescu, Cristiana; Van Robays, Ine - 2016

This paper explores a range of different forecast methods for Brent oil prices and analyses their performance relative to oil futures and the random walk over the period 1995Q1 - 2015Q2, including periods of stable, upwardly trending and rapidly dropping oil prices. None of the individual...

Persistent link: https://www.econbiz.de/10011573261

Automatic translation of plant data into management performance metrics : a case for real-time and predictive production control

Mousavi, A.; Siervo, H. R. A. - In: International journal of production research 55 (2017) 17/18, pp. 4862-4877

Persistent link: https://www.econbiz.de/10011723794

Real-time nowcasting of nominal GDP with structural breaks

Barnett, William A.; Chauvet, Marcelle; Leiva-Leon, Danilo - In: Journal of econometrics 191 (2016) 2, pp. 312-324

Persistent link: https://www.econbiz.de/10011610554