AIMC Topic: Research Design

Clear Filters Showing 181 to 190 of 643 articles

Fast Underwater Optical Beacon Finding and High Accuracy Visual Ranging Method Based on Deep Learning.

Sensors (Basel, Switzerland)
Visual recognition and localization of underwater optical beacons is an important step in autonomous underwater vehicle (AUV) docking. The main issues that restrict the use of underwater monocular vision range are the attenuation of light in water, t...

Adaptive Neural Safe Tracking Control Design for a Class of Uncertain Nonlinear Systems With Output Constraints and Disturbances.

IEEE transactions on cybernetics
In this article, an adaptive neural safe tracking control scheme is studied for a class of uncertain nonlinear systems with output constraints and unknown external disturbances. To allow the output to stay in the desired output constraints, a boundar...

Improving Lateral Resolution in 3-D Imaging With Micro-beamforming Through Adaptive Beamforming by Deep Learning.

Ultrasound in medicine & biology
There is an increased desire for miniature ultrasound probes with small apertures to provide volumetric images at high frame rates for in-body applications. Satisfying these increased requirements makes simultaneous achievement of a good lateral reso...

A Particleboard Surface Defect Detection Method Research Based on the Deep Learning Algorithm.

Sensors (Basel, Switzerland)
Particleboard surface defects have a significant impact on product quality. A surface defect detection method is essential to enhancing the quality of particleboard because the conventional defect detection method has low accuracy and efficiency. Thi...

Graph-Based Bayesian Optimization for Large-Scale Objective-Based Experimental Design.

IEEE transactions on neural networks and learning systems
Design is an inseparable part of most scientific and engineering tasks, including real and simulation-based experimental design processes and parameter/hyperparameter tuning/optimization. Several model-based experimental design techniques have been d...

Research on Application of Ecological Sports Innovation in Efficient Development Based on DCN Deep Learning.

Computational intelligence and neuroscience
With the continuous improvement of social and economic level, the relationship between human and nature is deteriorating. The ecological concept has been attached importance, so the concept of ecological sports has been born. For physical education, ...

Rolling Bearing Fault Detection System and Experiment Based on Deep Learning.

Computational intelligence and neuroscience
The current situation of frequent small-scale accidents shows that the existing methods have not completely solved the problem of bearing failures, and new research methods need to be used to complete the study of bearing failures. To prevent the fai...

From real-world electronic health record data to real-world results using artificial intelligence.

Annals of the rheumatic diseases
With the worldwide digitalisation of medical records, electronic health records (EHRs) have become an increasingly important source of real-world data (RWD). RWD can complement traditional study designs because it captures almost the complete variety...

Self-supervised graph neural network with pre-training generative learning for recommendation systems.

Scientific reports
The case assignment system is an essential system of case management and assignment within the procuratorate and is an important aspect of judicial fairness and efficiency. However, existing methods mostly use manual or random case assignment, which ...

Artificial intelligence (AI) for home support interventions in dementia: a scoping review protocol.

BMJ open
INTRODUCTION: Dementia has become one of the significant causes of disability and dependency among older people globally. The proportion of people with dementia who are cared for at home has soared. The rapid growth of technology and data has stimula...