AIMC Topic: Algorithms

Clear Filters Showing 11841 to 11850 of 28713 articles

Length of Stay Prediction Model of Indoor Patients Based on Light Gradient Boosting Machine.

Computational intelligence and neuroscience
The influx of hospital patients has become common in recent years. Hospital management departments need to redeploy healthcare resources to meet the massive medical needs of patients. In this process, the hospital length of stay (LOS) of different pa...

Distributed Intelligent Learning and Decision Model Based on Logic Predictive Control.

Computational intelligence and neuroscience
By the method of documentation and logical analysis, based on the data, based on logic and based on the knowledge of three kinds of artificial intelligence in the sports education, the intelligent learning system feedback delay are studied, combined ...

Light Weight Deep Learning Algorithm for Voice Call Quality of Services (Qos) in Cellular Communication.

Computational intelligence and neuroscience
In this paper, a deep learning algorithm was proposed to ensure the voice call quality of the cellular communication networks. This proposed model was consecutively monitoring the voice data packets and ensuring the proper message between the transmi...

IOT-Based Medical Informatics Farming System with Predictive Data Analytics Using Supervised Machine Learning Algorithms.

Computational and mathematical methods in medicine
In the farming industry, the Internet of Things (IoT) is crucial for boosting utility. Innovative agriculture practices and medical informatics have the potential to increase crop yield while using the same amount of input. Individuals can benefit fr...

Synthesising 2D Video from 3D Motion Data for Machine Learning Applications.

Sensors (Basel, Switzerland)
To increase the utility of legacy, gold-standard, three-dimensional (3D) motion capture datasets for computer vision-based machine learning applications, this study proposed and validated a method to synthesise two-dimensional (2D) video image frames...

Comparison of Graph Fitting and Sparse Deep Learning Model for Robot Pose Estimation.

Sensors (Basel, Switzerland)
The paper presents a simple, yet robust computer vision system for robot arm tracking with the use of RGB-D cameras. Tracking means to measure in real time the robot state given by three angles and with known restrictions about the robot geometry. Th...

Automated Detection of Myocardial Infarction and Heart Conduction Disorders Based on Feature Selection and a Deep Learning Model.

Sensors (Basel, Switzerland)
An electrocardiogram (ECG) is an essential piece of medical equipment that helps diagnose various heart-related conditions in patients. An automated diagnostic tool is required to detect significant episodes in long-term ECG records. It is a very cha...

Semi-supervised classifier guided by discriminator.

Scientific reports
Some machine learning applications do not allow for data augmentation or are applied to modalities where the augmentation is difficult to define. Our study aimed to develop a new method in semi-supervised learning (SSL) applicable to various modaliti...

Sparse Bayesian Model and Artificial Intelligence in Enterprise Goodwill Evaluation and Dynamic Management.

Computational intelligence and neuroscience
With the rapid development of mobile Internet information technology, automated search text has occupied a leading position in many industries. This article not only makes a detailed case study on the basic working principles of text feature extracti...

Research on the Analysis of Correlation Factors of English Translation Ability Improvement Based on Deep Neural Network.

Computational intelligence and neuroscience
This paper adopts the algorithm of the deep neural network to conduct in-depth research and analysis on the factors associated with the improvement of English translation ability. This study focuses on text complexity, adding discourse complexity fea...