AIMC Topic: Environment

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Environmental impact assessment of ocean energy converters using quantum machine learning.

Journal of environmental management
The depletion of fossil energy reserves and the environmental pollution caused by these sources highlight the need to harness renewable energy sources from the oceans, such as waves and tides, due to their high potential. On the other hand, the large...

A comprehensive analysis of key factors' impact on environmental performance: Evidence from Globe by novel super learner algorithm.

Journal of environmental management
This study aims to analyze comprehensively the impact of different economic and demographic factors, which affect economic development, on environmental performance. In this context, the study considers the Environmental Performance Index as the resp...

Environmental impact of hybrid (reusable/single-use) ports versus single-use equivalents in robotic surgery.

Journal of robotic surgery
Given the rise in robotic surgery, and parallel movement towards net zero carbon, sustainable healthcare systems, it is important that the environmental impact of robotic approaches is minimised. The majority of greenhouse gas emissions associated wi...

Optimization strategy of community planning for environmental health and public health in smart city under multi-objectives.

Frontiers in public health
As population density increases, environmental hygiene and public health become increasingly severe. As the space where residents stay for the longest time and have the most profound impact on their physical and mental health, the quality of the envi...

A machine learning approach for the classification of sports based on a coaches' perspective of environmental, individual and task requirements: A sports profile analysis.

Journal of sports sciences
Well-designed talent programmes in sports with a focus on talent identification, orientation, development, and transfer support the engagement of young individuals and the pursuit of elite performance. To facilitate these processes, an analysis of ta...

Animal robots in the African wilderness: Lessons learned and outlook for field robotics.

Science robotics
In early 2016, we had the opportunity to test a pair of sprawling posture robots, one designed to mimic a crocodile and another designed to mimic a monitor lizard, along the banks of the Nile River in Uganda, Africa. These robots were developed uniqu...

Detection of Missing Bolts for Engineering Structures in Natural Environment Using Machine Vision and Deep Learning.

Sensors (Basel, Switzerland)
The development of an accurate and efficient method for detecting missing bolts in engineering structures is crucial. To this end, a missing bolt detection method that leveraged machine vision and deep learning was developed. First, a comprehensive d...

Phenotyping urban built and natural environments with high-resolution satellite images and unsupervised deep learning.

The Science of the total environment
Cities in the developing world are expanding rapidly, and undergoing changes to their roads, buildings, vegetation, and other land use characteristics. Timely data are needed to ensure that urban change enhances health, wellbeing and sustainability. ...

An enhanced grey wolf optimizer boosted machine learning prediction model for patient-flow prediction.

Computers in biology and medicine
Large and medium-sized general hospitals have adopted artificial intelligence big data systems to optimize the management of medical resources to improve the quality of hospital outpatient services and decrease patient wait times in recent years as a...

A Support Vector Machine-Based Approach for Bolt Loosening Monitoring in Industrial Customized Vehicles.

Sensors (Basel, Switzerland)
Machine learning techniques have progressively emerged as important and reliable tools that, when combined with machine condition monitoring, can diagnose faults with even superior performance than other condition-based monitoring approaches. Further...