AIMC Topic: Artificial Intelligence

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Big Data/AI in Neurocritical Care: Maybe/Summary.

Neurocritical care
Big data (BD) and artificial intelligence (AI) have increasingly been used in neurocritical care. "BD" can be operationally defined as extremely large datasets that are so large and complex that they cannot be analyzed by using traditional statistica...

Social Asymmetry, Artificial Intelligence and the Medical Imaging Landscape.

Seminars in nuclear medicine
Social and health care equity and justice should be prioritized by the mantra of medicine, first do no harm. Despite highly motivated national and global health strategies, there remains significant health care inequity. Intrinsic and extrinsic facto...

Tungsten oxide polymorphs and their multifunctional applications.

Advances in colloid and interface science
Owing to the natural abundance, easy availability, high stability, non-stoichiometry, and chemical diversity, considerable interest has been devoted to tungsten oxide (WO) nanomaterials, and many advances have been achieved ranging from traditional c...

Sensor-Based Predictive Maintenance with Reduction of False Alarms-A Case Study in Heavy Industry.

Sensors (Basel, Switzerland)
In this paper, the problem of the identification of undesirable events is discussed. Such events can be poorly represented in the historical data, and it is predominantly impossible to learn from past examples. The discussed issue is considered in th...

Evaluation of Machine Learning Methods for Monitoring the Health of Guyed Towers.

Sensors (Basel, Switzerland)
This paper presents the development of a methodology to detect and evaluate faults in cable-stayed towers, which are part of the infrastructure of Brazil's interconnected electrical system. The proposed method increases system reliability and minimiz...

Scoping review of artificial intelligence and immersive digital tools in dental education.

Journal of dental education
PURPOSE: The aim of this scoping review is to examine artificial intelligence (AI) and virtual teaching models within the context of dental education, establish methods to address the resources being investigated, and ultimately augment this approach...

Understanding the potential of emerging digital technologies for improving road safety.

Accident; analysis and prevention
Each year, 1.35 million people are killed on the world's roads and another 20-50 million are seriously injured. Morbidity or serious injury from road traffic collisions is estimated to increase to 265 million people between 2015 and 2030. Current roa...

Integrated In-Sensor Computing Optoelectronic Device for Environment-Adaptable Artificial Retina Perception Application.

Nano letters
With the development and application of artificial intelligence, there is an appeal to the exploitation of various sensors and memories. As the most important perception of human beings, vision occupies more than 80% of all the received information. ...

Entropy-Based Variational Scheme with Component Splitting for the Efficient Learning of Gamma Mixtures.

Sensors (Basel, Switzerland)
Finite Gamma mixture models have proved to be flexible and can take prior information into account to improve generalization capability, which make them interesting for several machine learning and data mining applications. In this study, an efficien...

Deep Learning Approach at the Edge to Detect Iron Ore Type.

Sensors (Basel, Switzerland)
There is a constant risk of iron ore collapsing during its transfer between processing stages in beneficiation plants. Existing instrumentation is not only expensive but also complex and challenging to maintain. In this research, we propose using edg...