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Human and environmental feature-driven neural network for path-constrained robot navigation using deep reinforcement learning
Published 2025-04-01“…The paper provides a GitHub repository that includes comparative performance videos with state-of-the-art models in path-constrained scenarios, along with strategies for reward functions. …”
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Device-independent certification of desirable properties with a confidence interval
Published 2024-11-01“…Intriguingly, a Bell function useful for self-testing does not necessarily give the optimal confidence-gain rate for certifying the fidelity to the corresponding target state.…”
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Local Bifurcation and Global Stability of Two-Prey-One-Predator Model
Published 2025-01-01“…Next, we investigate the occurrence of local bifurcations around each steady state points by taking the value of the birth rate, death rate, and fear parameter as a bifurcation parameter. …”
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Prevention and correction of postdecompression liver dysfunction in obstructive jaundice in experimental animals
Published 2021-08-01“…The results of the study showed that in dogs of all groups, one day after modeling obstructive jaundice, biochemical parameters significantly increase both in the blood of the portal vein and in the lymph of the thoracic lymphatic duct, which is associated with a violation of the functional state of the liver. In animals in which the rate of bile outflow was not controlled, biochemical parameters remained at a high level, which reflected the development of liver failure and reperfusion syndrome. …”
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EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach
Published 2025-08-01“…The system achieved a 7% accuracy rate in differentiating cognitive from meditative states while identifying P300 amplitude and frontal alpha power, together with beta power as significant predictors.ConclusionThe EEG-based neurofeedback systems demonstrate potential alongside real-time cognitive state detection for healthcare brain–computer interfaces and mental health applications. …”
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Thermo-gaseous-mechanical coupling phase-field model for brittle crack propagation in tungsten
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Supervised Reinforcement Learning-Based Collaborative Master–Slave Harvest Control Study in Wheat
Published 2024-11-01“…Firstly, to improve the algorithm training success rate, a supervisor trained on actual driving data is introduced into the actor–critic reinforcement learning method. …”
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Diagnostic Algorithm for Joint Pain in Patients with Inflammatory Bowel Disorders
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