AIMC Topic: Computer Simulation

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Building the Model.

Archives of pathology & laboratory medicine
CONTEXT.—: Machine learning (ML) allows for the analysis of massive quantities of high-dimensional clinical laboratory data, thereby revealing complex patterns and trends. Thus, ML can potentially improve the efficiency of clinical data interpretatio...

A Novel Evaluation Index and Optimization Method for Ankle Rehabilitation Robots Based on Ankle-Foot Motion.

Journal of biomechanical engineering
The ability of ankle rehabilitation robots to accurately mimicking the actual human ankle motion is an important judgment basis for robot-assisted rehabilitation training. This paper proposes an evaluation index and mechanism parameter optimization m...

Model predictive control for constrained robot manipulator visual servoing tuned by reinforcement learning.

Mathematical biosciences and engineering : MBE
For constrained image-based visual servoing (IBVS) of robot manipulators, a model predictive control (MPC) strategy tuned by reinforcement learning (RL) is proposed in this study. First, model predictive control is used to transform the image-based v...

Simulation and prediction of the attenuation behaviour of the KNN-LMN-based lead-free ceramics by FLUKA code and artificial neural network (ANN)-based algorithm.

Environmental technology
The significance and novelty of the present work are the preparation of the non-lead ceramic by the general formula of (1-x) KNa.NbO-xLa MnNiO (KNN-LMN) with different x (0

Fixed-deviation stabilization and synchronization for delayed fractional-order complex-valued neural networks.

Mathematical biosciences and engineering : MBE
In this paper, we study fixed-deviation stabilization and synchronization for fractional-order complex-valued neural networks with delays. By applying fractional calculus and fixed-deviation stability theory, sufficient conditions are given to ensure...

Adopting improved Adam optimizer to train dendritic neuron model for water quality prediction.

Mathematical biosciences and engineering : MBE
As one of continuous concern all over the world, the problem of water quality may cause diseases and poisoning and even endanger people's lives. Therefore, the prediction of water quality is of great significance to the efficient management of water ...

Comparing machine-learning-based black box techniques and white box models to predict rainfall-runoff in a northern area of Iraq, the Little Khabur River.

Water science and technology : a journal of the International Association on Water Pollution Research
The rainfall-runoff process is one of the most complex hydrological phenomena. Estimating runoff in the basin is one of the main conditions for planning and optimal use of rainfall. Using machine learning models in various sciences to investigate phe...

Cancer subtyping with heterogeneous multi-omics data via hierarchical multi-kernel learning.

Briefings in bioinformatics
Differentiating cancer subtypes is crucial to guide personalized treatment and improve the prognosis for patients. Integrating multi-omics data can offer a comprehensive landscape of cancer biological process and provide promising ways for cancer dia...