AIMC Topic: Awareness
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Responsible use of AI in military systems: prospects and challenges.
Ergonomics
Jan 2, 2024
Artificial Intelligence (AI) holds great potential for the military domain but is also seen as prone to data bias and lacking transparency and explainability. In order to advance the trustworthiness of AI-enabled systems, a dynamic approach to the de...
Understanding Naturalistic Facial Expressions with Deep Learning and Multimodal Large Language Models.
Sensors (Basel, Switzerland)
Dec 26, 2023
This paper provides a comprehensive overview of affective computing systems for facial expression recognition (FER) research in naturalistic contexts. The first section presents an updated account of user-friendly FER toolboxes incorporating state-of...
Algorithmic bias and research integrity; the role of nonhuman authors in shaping scientific knowledge with respect to artificial intelligence: a perspective.
International journal of surgery (London, England)
Oct 1, 2023
Artificial intelligence technologies were developed to assist authors in bettering the organization and caliber of their published papers, which are both growing in quantity and sophistication. Even though the usage of artificial intelligence tools i...
Exploring Regularization Methods for Domain Generalization in Accelerometer-Based Human Activity Recognition.
Sensors (Basel, Switzerland)
Jul 19, 2023
The study of Domain Generalization (DG) has gained considerable momentum in the Machine Learning (ML) field. Human Activity Recognition (HAR) inherently encompasses diverse domains (e.g., users, devices, or datasets), rendering it an ideal testbed fo...
Intelligent Energy-Aware Thermal Exchange Optimization with Deep Learning Model for IoT-Enabled Smart Healthcare.
Journal of healthcare engineering
Jul 14, 2023
In recent years, Internet of Things (IoT) and advanced sensor technologies have gained considerable interest in linking different medical devices, patients, and healthcare professionals to improve the quality of medical services in a cost-effective m...
DDD TinyML: A TinyML-Based Driver Drowsiness Detection Model Using Deep Learning.
Sensors (Basel, Switzerland)
Jun 18, 2023
Driver drowsiness is one of the main causes of traffic accidents today. In recent years, driver drowsiness detection has suffered from issues integrating deep learning (DL) with Internet-of-things (IoT) devices due to the limited resources of IoT dev...
Load Balancing Using Artificial Intelligence for Cloud-Enabled Internet of Everything in Healthcare Domain.
Sensors (Basel, Switzerland)
Jun 5, 2023
The emergence of the Internet of Things (IoT) and its subsequent evolution into the Internet of Everything (IoE) is a result of the rapid growth of information and communication technologies (ICT). However, implementing these technologies comes with ...
From SLAM to Situational Awareness: Challenges and Survey.
Sensors (Basel, Switzerland)
May 17, 2023
The capability of a mobile robot to efficiently and safely perform complex missions is limited by its knowledge of the environment, namely the . Advanced reasoning, decision-making, and execution skills enable an intelligent agent to act autonomously...
Toward explainable AI-empowered cognitive health assessment.
Frontiers in public health
Mar 9, 2023
Explainable artificial intelligence (XAI) is of paramount importance to various domains, including healthcare, fitness, skill assessment, and personal assistants, to understand and explain the decision-making process of the artificial intelligence (A...
Collaborative 3D Scene Reconstruction in Large Outdoor Environments Using a Fleet of Mobile Ground Robots.
Sensors (Basel, Switzerland)
Dec 29, 2022
Teams of mobile robots can be employed in many outdoor applications, such as precision agriculture, search and rescue, and industrial inspection, allowing an efficient and robust exploration of large areas and enhancing the operators' situational awa...
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