AIMC Topic: Algorithms

Clear Filters Showing 12731 to 12740 of 28713 articles

Accuracy and efficiency of automatic tooth segmentation in digital dental models using deep learning.

Scientific reports
This study evaluates the accuracy and efficiency of automatic tooth segmentation in digital dental models using deep learning. We developed a dynamic graph convolutional neural network (DGCNN)-based algorithm for automatic tooth segmentation and clas...

An equilibrium optimizer slime mould algorithm for inverse kinematics of the 7-DOF robotic manipulator.

Scientific reports
In order to solve the inverse kinematics (IK) of complex manipulators efficiently, a hybrid equilibrium optimizer slime mould algorithm (EOSMA) is proposed. Firstly, the concentration update operator of the equilibrium optimizer is used to guide the ...

Neuro-inspired electronic skin for robots.

Science robotics
Touch is a complex sensing modality owing to large number of receptors (mechano, thermal, pain) nonuniformly embedded in the soft skin all over the body. These receptors can gather and encode the large tactile data, allowing us to feel and perceive t...

Film and Video Quality Optimization Using Attention Mechanism-Embedded Lightweight Neural Network Model.

Computational intelligence and neuroscience
In filming, the collected video may be blurred due to camera shake and object movement, causing the target edge to be unclear or deforming the targets. In order to solve these problems and deeply optimize the quality of movie videos, this work propos...

Analysis of Human Exercise Health Monitoring Data of Smart Bracelet Based on Machine Learning.

Computational intelligence and neuroscience
The smart bracelet has become a hot-selling commodity, according to a daily consumption survey. Based on people's interest and concern for their health, the smart bracelet, as a design and application for achieving healthy weight loss monitoring, is ...

Noninvasive Human-Computer Interface Methods and Applications for Robotic Control: Past, Current, and Future.

Computational intelligence and neuroscience
The purpose of this study is to explore the noninvasive human-computer interaction methods that have been widely used in various fields, especially in the field of robot control. To have a deep understanding of the development of the methods, this pa...

Prediction for Distant Metastasis of Breast Cancer Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging Images under Deep Learning.

Computational intelligence and neuroscience
This research aimed to explore the effect of using magnetic resonance imaging (MRI) radiomic features to establish a model for predicting distant metastasis under dynamic contrast-enhanced MRI imaging with deep learning algorithms. The deep learning ...

Design of Machine Learning Algorithm for Tourism Demand Prediction.

Computational and mathematical methods in medicine
Unused hotel rooms, unused event tickets, and unsold items are all examples of wasted expenses and earnings. Governments require accurate tourism demand forecasting in order to make informed decisions on topics such as infrastructure development and ...

Application of Neural Network Algorithm in Medical Artificial Intelligence Product Development.

Computational and mathematical methods in medicine
With the continuous deepening of artificial intelligence (AI) in the medical field, the social risks brought by the development and application of medical AI products have become increasingly prominent, bringing hidden worries to the protection of ci...

DOPE++: 6D pose estimation algorithm for weakly textured objects based on deep neural networks.

PloS one
This paper focuses on 6D pose estimation for weakly textured targets from RGB-D images. A 6D pose estimation algorithm (DOPE++) based on a deep neural network for weakly textured objects is proposed to solve the poor real-time pose estimation and low...