Results 71 to 80 of about 39,760 (245)
Multiple-Change-Point Detection for Auto-Regressive Conditional Heteroscedastic Processes
SummaryThe emergence of the recent financial crisis, during which markets frequently underwent changes in their statistical structure over a short period of time, illustrates the importance of non-stationary modelling in financial time series. Motivated by this observation, we propose a fast, well performing and theoretically tractable method for ...
P. Fryzlewicz, S. Subba Rao
openaire +1 more source
Transition metal oxy/carbo‐nitrides show great promise as catalysts for sustainable processes. A Mn‐Mo mixed‐metal oxynitride attains remarkable performance for the direct synthesis of acetonitrile, an important commodity chemical, via sequential C─N and C─C coupling from syngas (C1) and ammonia (N1) feedstocks.
M. Elena Martínez‐Monje +7 more
wiley +1 more source
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu +3 more
wiley +1 more source
Auto-Regressive Moving Diffusion Models for Time Series Forecasting
Time series forecasting (TSF) is essential in various domains, and recent advancements in diffusion-based TSF models have shown considerable promise.
Gao, Jiaxin +2 more
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The African countries of the Franc Zone are on the margin of the observed industrialization process in several developing countries around the world.
Serigne Bassirou Lo, Fousséni Ramde
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A spatiotemporal auto-regressive moving average model for solar radiation
To investigate the variability in energy output from a network of photovoltaic cells, solar radiation was recorded at 10 sites every 10 min in the Pentland Hills to the south of Edinburgh.
D. J. Allcroft, C. A. Glasbey
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Relay Feedback Auto-tuning of Process Controllers – A Tutorial Review
The PID relay auto-tuner of Astrom–Hagglund is one of the simplest and most robust auto-tuning techniques for process controllers and has been successfully applied to industry for more than 15 years.
Wang, Q. G. +3 more
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Recent Advances of Slip Sensors for Smart Robotics
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
In this work, the Auto-Regressive with Exogenous Input Model Predictive Controller (ARX-MPC) was designed and implemented to control the water activity of the lipase-catalysed esterification process. The empirical model, which was embedded in the MPC was
A.A. Zulkeflee, S.A. Sata, N. Aziz
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Auto-Regressive Simulation (Second-Order)
This Demonstration shows realizations of a second-order auto-regressive (AR) process y, using the random variable r drawn from a normal density with mean zero and variance unity.
Seggern, David von
core

