AIMC Topic: Environment

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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...

Sine-Cosine-Adopted African Vultures Optimization with Ensemble Autoencoder-Based Intrusion Detection for Cybersecurity in CPS Environment.

Sensors (Basel, Switzerland)
A Cyber-Physical System (CPS) is a network of cyber and physical elements that interact with each other. In recent years, there has been a drastic increase in the utilization of CPSs, which makes their security a challenging problem to address. Intru...

Deep learning models challenge the prevailing assumption that face-like effects for objects of expertise support domain-general mechanisms.

Proceedings. Biological sciences
The question of whether task performance is best achieved by domain-specific, or domain-general processing mechanisms is fundemental for both artificial and biological systems. This question has generated a fierce debate in the study of expert object...

Restorative perception of urban streets: Interpretation using deep learning and MGWR models.

Frontiers in public health
Restorative environments help people recover from mental fatigue and negative emotional and physical reactions to stress. Excellent restorative environments in urban streets help people focus and improve their daily behavioral performance, allowing t...

A Deep-Learning Based Pipeline for Estimating the Abundance and Size of Aquatic Organisms in an Unconstrained Underwater Environment from Continuously Captured Stereo Video.

Sensors (Basel, Switzerland)
The utilization of stationary underwater cameras is a modern and well-adapted approach to provide a continuous and cost-effective long-term solution to monitor underwater habitats of particular interest. A common goal of such monitoring systems is to...

Adapting small jumping robots to compliant environments.

Journal of the Royal Society, Interface
Jumping animals launch themselves from surfaces that vary widely in compliance from grasses and shrubs to tree branches. However, studies of robotic jumpers have been largely limited to those jumping from rigid substrates. In this paper, we leverage ...

Air pollution, water pollution, and robots: Is technology the panacea.

Journal of environmental management
The degradation of the ecological environment caused by industrialization presents a major challenge for policymakers as they aim to develop sustainability. Is there a way to balance industrial growth and environmental sustainability? To answer this ...

Brain-Controlled 2D Navigation Robot Based on a Spatial Gradient Controller and Predictive Environmental Coordinator.

IEEE journal of biomedical and health informatics
OBJECTIVE: Brain-computer interfaces (BCIs) have been used in two-dimensional (2D) navigation robotic devices, such as brain-controlled wheelchairs and brain-controlled vehicles. However, contemporary BCI systems are driven by binary selective contro...