AIMC Topic: Australia

Clear Filters Showing 121 to 130 of 216 articles

Forecasting influenza activity using machine-learned mobility map.

Nature communications Feb 9, 2021
Human mobility is a primary driver of infectious disease spread. However, existing data is limited in availability, coverage, granularity, and timeliness. Data-driven forecasts of disease dynamics are crucial for decision-making by health officials a...
Machine Learning Forecasting Reproducibility of Results Humans Population Dynamics Influenza, Human New York City Smartphone Models, Theoretical Australia
View on PubMed DOI

Understanding global changes in fine-mode aerosols during 2008-2017 using statistical methods and deep learning approach.

Environment international Jan 29, 2021
Despite their extremely small size, fine-mode aerosols have significant impacts on the environment, climate, and human health. However, current understandings of global changes in fine-mode aerosols are limited. In this study, we employed newly devel...
Australia India Air Pollutants Environmental Monitoring Aerosols Humans Seasons Mexico Deep Learning China
View on PubMed DOI

Computational Intelligence-Based Financial Crisis Prediction Model Using Feature Subset Selection with Optimal Deep Belief Network.

Big data Jan 19, 2021
At present times, financial decisions are mainly based on the classifier technique, which is utilized to allocate a collection of observations into fixed groups. A diverse set of data classifier approaches were presented for forecasting the financial...
Computer Simulation Artificial Intelligence Australia Algorithms
View on PubMed DOI

The effect of a social robot intervention on sleep and motor activity of people living with dementia and chronic pain: A pilot randomized controlled trial.

Maturitas Sep 24, 2020
OBJECTIVE: To investigate the effect of a social robot intervention on sleep and motor activity in nursing home residents living with dementia and chronic pain.
Robotics Sleep Nursing Homes Motor Activity Chronic Pain Pilot Projects Dementia Australia Aged, 80 and over Male Humans Female Aged
View on PubMed DOI

Prediction of sediment heavy metal at the Australian Bays using newly developed hybrid artificial intelligence models.

Environmental pollution (Barking, Essex : 1987) Sep 16, 2020
Hybrid artificial intelligence (AI) models are developed for sediment lead (Pb) prediction in two Bays (i.e., Bramble (BB) and Deception (DB)) stations, Australia. A feature selection (FS) algorithm called extreme gradient boosting (XGBoost) is propo...
Bays Artificial Intelligence Australia Metals, Heavy Neural Networks, Computer
View on PubMed DOI

A realistic fish-habitat dataset to evaluate algorithms for underwater visual analysis.

Scientific reports Sep 4, 2020
Visual analysis of complex fish habitats is an important step towards sustainable fisheries for human consumption and environmental protection. Deep Learning methods have shown great promise for scene analysis when trained on large-scale datasets. Ho...
Animals Ecosystem Behavior, Animal Fisheries Ecological Parameter Monitoring Deep Learning Australia Fishes
View on PubMed DOI

Predicting Absenteeism and Temporary Disability Using Machine Learning: a Systematic Review and Analysis.

Journal of medical systems Aug 7, 2020
The main objective of this paper is to present a systematic analysis and review of the state of the art regarding the prediction of absenteeism and temporary incapacity using machine learning techniques. Moreover, the main contribution of this resear...
Australia Brazil Bayes Theorem Absenteeism Saudi Arabia Humans India Machine Learning
View on PubMed DOI

A deep learning approach to identify smoke plumes in satellite imagery in near-real time for health risk communication.

Journal of exposure science & environmental epidemiology Jul 27, 2020
BACKGROUND: Wildland fire (wildfire; bushfire) pollution contributes to poor air quality, a risk factor for premature death. The frequency and intensity of wildfires are expected to increase; improved tools for estimating exposure to fire smoke are v...
Communication Deep Learning Australia Humans Smoke Air Pollutants Fires Satellite Imagery
View on PubMed DOI

A Physical Activity and Diet Program Delivered by Artificially Intelligent Virtual Health Coach: Proof-of-Concept Study.

JMIR mHealth and uHealth Jul 10, 2020
BACKGROUND: Poor diet and physical inactivity are leading modifiable causes of death and disease. Advances in artificial intelligence technology present tantalizing opportunities for creating virtual health coaches capable of providing personalized s...
Diet Exercise Health Promotion Australia Humans Blood Pressure Artificial Intelligence Adult Body Composition Female Proof of Concept Study Male Aged Middle Aged
View on PubMed DOI

An artificial intelligence algorithm that identifies middle turbinate pneumatisation (concha bullosa) on sinus computed tomography scans.

The Journal of laryngology and otology Apr 1, 2020
OBJECTIVE: Convolutional neural networks are a subclass of deep learning or artificial intelligence that are predominantly used for image analysis and classification. This proof-of-concept study attempts to train a convolutional neural network algori...
Nose Diseases Turbinates Tomography, X-Ray Computed Artificial Intelligence Female Algorithms Male Retrospective Studies Australia Humans Paranasal Sinuses Neural Networks, Computer Observer Variation
View on PubMed DOI
Popular Topics
Recent Journals