Results 221 to 230 of about 2,661 (306)

Risk‐aware safe reinforcement learning for control of stochastic linear systems

open access: yesAsian Journal of Control, EarlyView.
Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili   +2 more
wiley   +1 more source

Modeling and parameter estimation for fractional large‐scale interconnected Hammerstein systems

open access: yesAsian Journal of Control, EarlyView.
Abstract This paper addresses the challenge of modeling and identifying large‐scale interconnected systems exhibiting memory effects, hereditary properties, and non‐local interactions. We propose a fractional‐order extension of the Hammerstein architecture that incorporates Grünwald–Letnikov operators to capture complex dynamics through multiple ...
Mourad Elloumi   +2 more
wiley   +1 more source

A Guide to Bayesian Optimization in Bioprocess Engineering

open access: yesBiotechnology and Bioengineering, EarlyView.
ABSTRACT Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small data sets, and provide adaptive suggestions for sequential experimentation.
Maximilian Siska   +5 more
wiley   +1 more source

A Natural Resource‐Based View of Circular Economy Practices in the Pharmaceutical Industry

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Pharmaceutical industry is facing escalating environmental sustainability issues including gaseous emissions, waste generation, and excessive consumption of energy and non‐renewable materials. Nevertheless, the adoption of sustainable business models such as the circular economy (CE) is still in its infancy in this sector due to complex ...
Amna Farrukh, Muhammad Sohaib Sajjad
wiley   +1 more source

Computing With Residue Numbers in High-Dimensional Representation. [PDF]

open access: yesNeural Comput
Kymn CJ   +6 more
europepmc   +1 more source

Optimized Risk Assessment in Forensic Practice: A Comparison of Machine Learning and Manual Scoring Approaches

open access: yesBehavioral Sciences &the Law, EarlyView.
ABSTRACT As correctional jurisdictions and risk instrument developers look to optimize scoring for specific population needs, an open question remains ‐ which method is optimal. Popular scoring methods range from manual simple scoring approaches (e.g., Burgess) to more complex machine learning algorithms (e.g., random forests).
Danielle J. Rieger   +2 more
wiley   +1 more source

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