AIMC Topic: Awareness
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Deep Learning Methods for Space Situational Awareness in Mega-Constellations Satellite-Based Internet of Things Networks.
Sensors (Basel, Switzerland)
Dec 23, 2022
Artificial Intelligence of things (AIoT) is the combination of Artificial Intelligence (AI) technologies and the Internet of Things (IoT) infrastructure. AI deals with the devices' learning process to acquire knowledge from data and experience, while...
Holistic Security and Safety for Factories of the Future.
Sensors (Basel, Switzerland)
Dec 16, 2022
The accelerating transition of traditional industrial processes towards fully automated and intelligent manufacturing is being witnessed in almost all segments. This major adoption of enhanced technology and digitization processes has been originally...
A Call to Action on Assessing and Mitigating Bias in Artificial Intelligence Applications for Mental Health.
Perspectives on psychological science : a journal of the Association for Psychological Science
Dec 9, 2022
Advances in computer science and data-analytic methods are driving a new era in mental health research and application. Artificial intelligence (AI) technologies hold the potential to enhance the assessment, diagnosis, and treatment of people experie...
Optimal Tasking of Ground-Based Sensors for Space Situational Awareness Using Deep Reinforcement Learning.
Sensors (Basel, Switzerland)
Oct 16, 2022
Space situational awareness (SSA) is becoming increasingly challenging with the proliferation of resident space objects (RSOs), ranging from CubeSats to mega-constellations. Sensors within the United States Space Surveillance Network are tasked to re...
The driver's instantaneous situation awareness when the alarm rings during the take-over of vehicle control in automated driving.
Traffic injury prevention
Sep 28, 2022
OBJECTIVE: The driver's instantaneous situation awareness in the process of take-over of vehicle control in automated driving has not yet been thoroughly investigated. The proposed research can provide a better understanding of the driver's perceived...
A Survey of Deep Learning-Based Image Restoration Methods for Enhancing Situational Awareness at Disaster Sites: The Cases of Rain, Snow and Haze.
Sensors (Basel, Switzerland)
Jun 22, 2022
This survey article is concerned with the emergence of vision augmentation AI tools for enhancing the situational awareness of first responders (FRs) in rescue operations. More specifically, the article surveys three families of image restoration met...
Context-Aware Multi-Scale Aggregation Network for Congested Crowd Counting.
Sensors (Basel, Switzerland)
Apr 22, 2022
In this paper, we propose a context-aware multi-scale aggregation network named CMSNet for dense crowd counting, which effectively uses contextual information and multi-scale information to conduct crowd density estimation. To achieve this, a context...
Facilitating the Work of Unmanned Aerial Vehicle Operators Using Artificial Intelligence: An Intelligent Filter for Command-and-Control Maps to Reduce Cognitive Workload.
Human factors
Apr 7, 2022
OBJECTIVE: Evaluating the ability of a Gibsonian-inspired artificial intelligence (AI) algorithm to reduce the cognitive workloads of military Unmanned Aerial Vehicle (UAV) operators.
TypeSeg: A type-aware encoder-decoder network for multi-type ultrasound images co-segmentation.
Computer methods and programs in biomedicine
Dec 17, 2021
PURPOSE: As a portable and radiation-free imaging modality, ultrasound can be easily used to image various types of tissue structures. It is important to develop a method which supports the multi-type ultrasound images co-segmentation. However, state...
Comparing Class-Aware and Pairwise Loss Functions for Deep Metric Learning in Wildlife Re-Identification.
Sensors (Basel, Switzerland)
Sep 12, 2021
Similarity learning using deep convolutional neural networks has been applied extensively in solving computer vision problems. This attraction is supported by its success in one-shot and zero-shot classification applications. The advances in similari...
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