AIMC Topic:
Computer Simulation

Clear Filters Showing 1471 to 1480 of 3823 articles

Robust fuzzy sliding mode controller for a skid-steered vehicle subjected to friction variations.

PloS one
Skid-steered vehicles (SSV) are gaining huge importance in the market due to their applications like construction, agricultural work, material handling etc. The accuracy of performing such tasks require a robust control algorithm. The design of such ...

How to predict relapse in leukemia using time series data: A comparative in silico study.

PloS one
Risk stratification and treatment decisions for leukemia patients are regularly based on clinical markers determined at diagnosis, while measurements on system dynamics are often neglected. However, there is increasing evidence that linking quantitat...

Bayesian nonparametric quantile process regression and estimation of marginal quantile effects.

Biometrics
Flexible estimation of multiple conditional quantiles is of interest in numerous applications, such as studying the effect of pregnancy-related factors on low and high birth weight. We propose a Bayesian nonparametric method to simultaneously estimat...

Event-triggered control optimal tuning through bio-inspired optimization in robotic manipulators.

ISA transactions
This paper proposes the tuning approach of the event-triggered controller (ETCTA) for the robotic system stabilization task where the reduction of the stabilization error and the data broadcasting of the control update are simultaneously considered. ...

LF-ACO: an effective formation path planning for multi-mobile robot.

Mathematical biosciences and engineering : MBE
Multi-robot path planning is a hot problem in the field of robotics. Compared with single-robot path planning, complex problems such as obstacle avoidance and mutual collaboration need to be considered. This paper proposes an efficient leader followe...

DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine.

Scientific reports
Recent global developments underscore the prominent role big data have in modern medical science. But privacy issues constitute a prevalent problem for collecting and sharing data between researchers. However, synthetic data generated to represent re...

Recognition study of denatured biological tissues based on multi-scale rescaled range permutation entropy.

Mathematical biosciences and engineering : MBE
The recognition of denatured biological tissue is an indispensable part in the process of high intensity focused ultrasound treatment. As a nonlinear method, multi-scale permutation entropy (MPE) is widely used in the recognition of denatured biologi...

A Bidirectional Interpolation Method for Post-Processing in Sampling-Based Robot Path Planning.

Sensors (Basel, Switzerland)
This paper proposes a post-processing method called bidirectional interpolation method for sampling-based path planning algorithms, such as rapidly-exploring random tree (RRT). The proposed algorithm applies interpolation to the path generated by the...

Estimating severe fever with thrombocytopenia syndrome transmission using machine learning methods in South Korea.

Scientific reports
Severe fever with thrombocytopenia syndrome (SFTS) is an emerging tick-borne infectious disease in China, Japan, and Korea. This study aimed to estimate the monthly SFTS occurrence and the monthly number of SFTS cases in the geographical area in Kore...

Breast Cancer Diagnosis by Convolutional Neural Network and Advanced Thermal Exchange Optimization Algorithm.

Computational and mathematical methods in medicine
A common gynecological disease in the world is breast cancer that early diagnosis of this disease can be very effective in its treatment. The use of image processing methods and pattern recognition techniques in automatic breast detection from mammog...