AIMC Topic: Computer Simulation
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Quality-diversity based semi-autonomous teleoperation using reinforcement learning.
Neural networks : the official journal of the International Neural Network Society
Jul 22, 2024
Recent successes in robot learning have significantly enhanced autonomous systems across a wide range of tasks. However, they are prone to generate similar or the same solutions, limiting the controllability of the robot to behave according to user i...
Stability and synchronization of fractional-order reaction-diffusion inertial time-delayed neural networks with parameters perturbation.
Neural networks : the official journal of the International Neural Network Society
Jul 22, 2024
This study is centered around the dynamic behaviors observed in a class of fractional-order generalized reaction-diffusion inertial neural networks (FGRDINNs) with time delays. These networks are characterized by differential equations involving two ...
Protocol-based control for semi-Markov reaction-diffusion neural networks.
Neural networks : the official journal of the International Neural Network Society
Jul 22, 2024
This paper addresses the asynchronous control problem for semi-Markov reaction-diffusion neural networks (SMRDNNs) under probabilistic event-triggered protocol (PETP) scheduling. A semi-Markov process with a deterministic switching rule is introduced...
Computational Insights into Reproductive Toxicity: Clustering, Mechanism Analysis, and Predictive Models.
International journal of molecular sciences
Jul 22, 2024
Reproductive toxicity poses significant risks to fertility and progeny health, making its identification in pharmaceutical compounds crucial. In this study, we conducted a comprehensive in silico investigation of reproductive toxic molecules, identif...
Machine-learning based control of bi-modular multilevel PWM inverter for high power applications.
PloS one
Jul 22, 2024
This paper presents the topology and machine learning-based intelligent control of high-power PV inverter for maximum power extraction and optimal energy utilization. Modular converters with reduced components economic and reliable for high power app...
Validation of a novel, low-fidelity virtual reality simulator and an artificial intelligence assessment approach for peg transfer laparoscopic training.
Scientific reports
Jul 19, 2024
Simulators are widely used in medical education, but objective and automatic assessment is not feasible with low-fidelity simulators, which can be solved with artificial intelligence (AI) and virtual reality (VR) solutions. The effectiveness of a cus...
A comprehensive prediction system for silkworm acute toxicity assessment of environmental and in-silico pesticides.
Ecotoxicology and environmental safety
Jul 18, 2024
The excessive application and loss of pesticides poses a great risk to the ecosystem, and the environmental safety assessment of pesticides is time-consuming and expensive using traditional animal toxicity tests. In this work, a pesticide acute toxic...
In Silico drug repurposing pipeline using deep learning and structure based approaches in epilepsy.
Scientific reports
Jul 17, 2024
Due to considerable global prevalence and high recurrence rate, the pursuit of effective new medication for epilepsy treatment remains an urgent and significant challenge. Drug repurposing emerges as a cost-effective and efficient strategy to combat ...
Finite element models with automatic computed tomography bone segmentation for failure load computation.
Scientific reports
Jul 17, 2024
Bone segmentation is an important step to perform biomechanical failure load simulations on in-vivo CT data of patients with bone metastasis, as it is a mandatory operation to obtain meshes needed for numerical simulations. Segmentation can be a tedi...
A novel fractional-order memristive Hopfield neural network for traveling salesman problem and its FPGA implementation.
Neural networks : the official journal of the International Neural Network Society
Jul 16, 2024
This paper proposes a novel fractional-order memristive Hopfield neural network (HNN) to address traveling salesman problem (TSP). Fractional-order memristive HNN can efficiently converge to a globally optimal solution, while conventional HNN tends t...
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