AIMC Topic: Forecasting

Clear Filters Showing 921 to 930 of 1639 articles

Analysis of Precision and Stability of Hand Tracking with Leap Motion Sensor.

Sensors (Basel, Switzerland)
In this analysis, we present results from measurements performed to determine the stability of a hand tracking system and the accuracy of the detected palm and finger's position. Measurements were performed for the evaluation of the sensor for an app...

Multi-site household waste generation forecasting using a deep learning approach.

Waste management (New York, N.Y.)
Forecasting household waste generation using traditional methods is particularly challenging due to its high variability and uncertainty. Unlike studies that forecast waste generation at municipal or country levels, household data can present rapid s...

Landslide displacement interval prediction using lower upper bound estimation method with pre-trained random vector functional link network initialization.

Neural networks : the official journal of the International Neural Network Society
Interval prediction is an efficient approach to quantifying the uncertainties associated with landslide evolution. In this paper, a novel method, termed lower upper bound estimation (LUBE), of constructing prediction intervals (PIs) based on neural n...

Time Series Analysis and Forecasting with Automated Machine Learning on a National ICD-10 Database.

International journal of environmental research and public health
The application of machine learning (ML) for use in generating insights and making predictions on new records continues to expand within the medical community. Despite this progress to date, the application of time series analysis has remained undere...

An ensemble learning based hybrid model and framework for air pollution forecasting.

Environmental science and pollution research international
As advance of economy and industry, the impact of air pollution has gradually gained attention. In order to predict air quality, there were many studies that exploited various machine learning techniques to build predictive model for pollutant concen...

Current applications of artificial intelligence for intraoperative decision support in surgery.

Frontiers of medicine
Research into medical artificial intelligence (AI) has made significant advances in recent years, including surgical applications. This scoping review investigated AI-based decision support systems targeted at the intraoperative phase of surgery and ...

GCN-BMP: Investigating graph representation learning for DDI prediction task.

Methods (San Diego, Calif.)
One drug's pharmacological activity may be changed unexpectedly, owing to the concurrent administration of another drug. It is likely to cause unexpected drug-drug interactions (DDIs). Several machine learning approaches have been proposed to predict...

Radiomics in liver diseases: Current progress and future opportunities.

Liver international : official journal of the International Association for the Study of the Liver
Liver diseases, a wide spectrum of pathologies from inflammation to neoplasm, have become an increasingly significant health problem worldwide. Noninvasive imaging plays a critical role in the clinical workflow of liver diseases, but conventional ima...

Evaluation of marker selection methods and statistical models for chronological age prediction based on DNA methylation.

Legal medicine (Tokyo, Japan)
In forensic investigation, retrieving biological information from DNA evidence is a promising field of interest. One of the applications is on the estimation of the age of the donor based on DNA methylation. A large number of studies focused on age p...

The Future of Skull Base Surgery: A View Through Tinted Glasses.

World neurosurgery
In the present report, we have broadly outlined the potential advances in the field of skull base surgery, which might occur within the next 20 years based on the many areas of current research in biology and technology. Many of these advances will a...