A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control
Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao +2 more
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Rethinking mechanical heart valves in the aortic position: new paradigms in design and testing. [PDF]
Chakraborty S, Simon MG, Bellofiore A.
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Key improvements obtained by incorporating nanoparticles into a lab‐scale SAGD process configuration. The bar plots show enhanced oil recovery, reduced viscosity, and increased asphaltene adsorption in nanoparticle‐assisted scenarios compared with conventional SAGD.
Luis Prada +6 more
wiley +1 more source
Effective Thrombectomy for Biventricular Thrombosis With an Endoscope via the Aortic and Tricuspid Heart Valves. [PDF]
Endo Y +3 more
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Anticoagulation in pregnant women with mechanical heart valves: A case series from a single centre in South India over two decades. [PDF]
Anandaraj AM +12 more
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Comparative evaluation of Biofire Joint Infection Panel, Sepsitest 16S/18S rDNA PCR, and culture to identify microorganisms in explanted heart valves. [PDF]
Berinson B +7 more
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Study of cardiac structures and heart valves: analysing curvatures based on 3D ultrasound waves. [PDF]
Karvandi M, Ranjbar S.
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Aggregatibacter actinomycetemcomitans: From the Oral Cavity to the Heart Valves. [PDF]
Talapko J +9 more
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Storage, preservation, and rehabilitation of living heart valves to treat congenital heart disease. [PDF]
Cordoves EM +5 more
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