AIMC Topic: Models, Theoretical

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A model of mobile robots in networks with resolvability properties.

PloS one
A model for mobility of robots keeping the property of uniquely recognizing the vertices of a given network is considered in this work. This is made in order to detect failures or intruders, by means of dynamic vectors of distances to the set of mobi...

Forecasting monthly residential natural gas demand in two cities of Turkey using just-in-time-learning modeling.

PloS one
Natural gas (NG) is relatively a clean source of energy, particularly compared to fossil fuels, and worldwide consumption of NG has been increasing almost linearly in the last two decades. A similar trend can also be seen in Turkey, while another sim...

Enhanced pedestrian trajectory prediction via overlapping field-of-view domains and integrated Kolmogorov-Arnold networks.

PloS one
Accurate pedestrian trajectory prediction is crucial for applications such as autonomous driving and crowd surveillance. This paper proposes the OV-SKTGCNN model, an enhancement to the Social-STGCNN model, aimed at addressing its low prediction accur...

Evaluation of data driven low-rank matrix factorization for accelerated solutions of the Vlasov equation.

PloS one
Low-rank methods have shown success in accelerating simulations of a collisionless plasma described by the Vlasov equation, but still rely on computationally costly linear algebra every time step. We propose a data-driven factorization method using a...

Analyzing the evolutionary trajectory of technological themes based on the BERTopic model: A case study in the field of artificial intelligence.

PloS one
As the wave of technological innovation propels national development into the future, technological advancement has emerged as a crucial pillar for enhancing international competitiveness. Unraveling the evolutionary trajectory of technologies and th...

Modeling approaches for data-driven model predictive control of acid gases in waste-to-energy plants.

Waste management (New York, N.Y.)
The economic and environmental sustainability of waste-to-energy (WtE) plants can be improved through advanced control techniques such as model predictive control (MPC), which enables stricter regulation by incorporating constraints, handling multipl...

Enhancing time synchronization between host and node stations using a fuzzy proportional-integral approach for EtherCAT-based motion control systems.

PloS one
Real-time synchronization for the servo system becomes one of the most popular themes in the Industry 4.0 era. Each connected agent publishes its data and mutual information in the shared protocol while host station plays a role as coordinator among ...

Model parameterization of robotic systems through the bio-inspired optimization.

PloS one
The accurate modeling of dynamic systems, particularly robotic ones, is crucial in the industry. It enables simulation-based approaches that facilitate various tasks without requiring the physical system, thereby reducing risks and costs. These appro...

Flow and heat transfer of Poly Dispersed SiO2 Nanoparticles in Aqueous Glycerol in a Horizontal pipe: Application of ensemble and evolutionary machine learning for model-prediction.

PloS one
Stable nanofluid dispersion with SiO2 particles of 15, 50, and 100 nm is generated in a base liquid composed of water and glycerol in a 7:3 ratio and tested for physical characteristics in the temperature range of 20-100oC. The nanofluid showed excel...

Path planning algorithm for logistics autonomous vehicles at Cainiao stations based on multi-sensor data fusion.

PloS one
Efficient path planning and obstacle avoidance in a complex and dynamic environment is one of the key challenges of unmanned vehicle logistics distribution, especially in the logistics scene of Cainiao Station, which involves crowded communities and ...