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Potential for Machine Learning in Burn Care
Journal of Burn Care & Research, 2021Abstract Burn-related injuries are a leading cause of morbidity across the globe. Accurate assessment and treatment have been demonstrated to reduce the morbidity and mortality. This essay explores the forms of artificial intelligence to be implemented the field of burns management to optimize the care we deliver in the National Health ...
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Machine Learning Potentials for Graphene
Volume 3: Advanced Materials: Design, Processing, Characterization and Applications; Advances in Aerospace Technology, 2022Abstract Graphene has been one of the most researched material in the world for the past two decades due to its unique combination of mechanical, thermal and electrical properties. Graphene exists in a stable two dimensional (2D) structure with hexagonal carbon rings.
Akash Singh, Yumeng Li
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Learning Machines Applied to Potential Forest Distribution
Environmental Management, 2005The clearing of forests to obtain land for pasture and agriculture and the replacement of autochthonous species by other faster-growing varieties of trees for timber have both led to the loss of vast areas of forest worldwide. At present, many developed countries are attempting to reverse these effects, establishing policies for the restoration of ...
Celestino, Ordóñez +4 more
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The potential of machine learning techniques for expert systems
Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 1989Expert systems employing current methodologies suffer from two major problems: they are brittle and their development is time-consuming and tedious.Learning, the key to intelligent human behavior and expertise, has the potential of alleviating these difficulties.
Yoram Reich, Steven J. Fenves
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Potential Distribution Modelling Using Machine Learning
2008Potential distribution modelling has been widely used to predict and to understand the geographical distribution of species. These models are generally produced by retrieving the environmental conditions where the species is known to be present or absent and feeding this data into a modelling algorithm.
Ana Carolina Lorena +4 more
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The potential promise of machine learning in myelodysplastic syndrome
Seminars in HematologyThe introduction of artificial intelligence (AI), and in particular machine learning (ML), has revolutionized biomedical research at the clinical level, a trend that also includes hematologic malignancies and myeloid neoplasia (MN). ML encompasses a wide range of applications such as enhanced diagnostics, outcome predictions, decision trees and ...
Valeria Visconte +2 more
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Towards Machine Learning to Machine Wisdom: A Potential Quest
2021P. Nagabhushan +3 more
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Machine learning for microbiologists
Nature Reviews Microbiology, 2023Francesco Asnicar +2 more
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Machine learning sheds light on microbial dark proteins
Nature Reviews Microbiology, 2023A T Hammack +2 more
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