AIMC Topic: Models, Theoretical

Clear Filters Showing 1681 to 1690 of 1953 articles

[The development of model of prognostication and minimization of risk of by-effects under combined application of agents for treatment of chronic cardiac deficiency using AI].

Problemy sotsial'noi gigieny, zdravookhraneniia i istorii meditsiny
The chronic cardiac deficiency continues to be one of the leading health care problems requiring innovative solutions. The article presents mathematical algorithm to evaluate drug interactions and targeted to minimize side effects and to optimize chr...

ZFD-Net: Zinc flower defect detection model of galvanized steel surface based on improved YOLOV5.

PloS one
Due to the complex factory environment, zinc flower defects and galvanized sheet background are difficult to distinguish, and the production line running speed is fast, the existing detection methods are difficult to meet the needs of real-time detec...

Optimization of non-smooth functions via differentiable surrogates.

PloS one
Mathematical optimization is fundamental across many scientific and engineering applications. While data-driven models like gradient boosting and random forests excel at prediction tasks, they often lack mathematical regularity, being non-differentia...

Fractional order tracking control of a disturbed differential mobile robot.

PloS one
A trajectory tracking problem for a wheeled mobile robot, under skidding and slipping effects, is addressed. A sliding mode control scheme with fractional order reaching dynamics is proposed to solve the problem. The design of the control scheme is b...

Research on equipment fault diagnosis model based on gan and inverse PINN: Solutions for data imbalance and rare faults.

PloS one
In the field of medical imaging equipment, fault diagnosis plays a vital role in guaranteeing stable operation and prolonging service life. Traditional diagnostic approaches, though, are confronted with issues like intricate fault modes, as well as s...

Forecasting monthly runoff in a glacierized catchment: A comparison of extreme gradient boosting (XGBoost) and deep learning models.

PloS one
Accurate monthly runoff forecasting is vital for water management, flood control, hydropower, and irrigation. In glacierized catchments affected by climate change, runoff is influenced by complex hydrological processes, making precise forecasting eve...

Integrated irrigation of water and fertilizer with superior self-correcting fuzzy PID control system.

PloS one
To address the fixed-parameter limitations of traditional PID control (e.g., excessive overshoot, prolonged settling time, poor adaptability to nonlinearities) and the insufficient real-time adjustment capability of conventional fuzzy PID control, wh...

Inverse modeling, analysis and control of twin rotor aerodynamic systems with optimized artificial intelligent controllers.

PloS one
This paper suggests a novel optimal inverse Radial Basis Function (RBF) neural network model for the control of Twin Rotor Aerodynamic Systems (TRAS), such as Multi-Input-Multi-Output (MIMO) systems with high nonlinearity and coupling effects between...

Research on path planning of robotic arms based on DAPF-RRT algorithm.

PloS one
In response to the widely used RRT-Connect path planning algorithm in the field of robotic arms, which has problems such as long search time, random node growth, multiple and unsmooth path turns, a path planning algorithm combining dynamic step size ...

USS-Net: A neural network-based model for assisting flight route scheduling.

PloS one
Air traffic congestion-induced flight accidents pose a significant challenge in the aviation sector. Currently, aviation navigation systems primarily rely on GPS and Inertial Navigation Systems (INS) to track aircraft, yet they lack the capability to...