Recycling of Thermoplastics with Machine Learning: A Review
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque +5 more
wiley +1 more source
Implementing system-wide digital medical interpretation: a framework for healthcare organizations. [PDF]
Kothari U +5 more
europepmc +1 more source
Impact of the Use of Interactive Screens on Language Development in Children up to 6 Years of Age: A Systematic Review. [PDF]
da Silva Junior DC +4 more
europepmc +1 more source
Standard language proficiency as social capital: Impacts on subjective socioeconomic status in China. [PDF]
Wei Y, Cai X.
europepmc +1 more source
Emotion, proficiency, and arousal: exploring speech and physiological responses in Chinese ESL learners. [PDF]
Wu M, Roche JM.
europepmc +1 more source
Reconstructing impaired language using generative AI for people with aphasia. [PDF]
Adikari A +5 more
europepmc +1 more source
Bayesian parametric estimation shows the effects of social prestige and bilingualism on reshaping language competition. [PDF]
Yang S +5 more
europepmc +1 more source
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Large language models in medicine
Nature Medicine, 2023Arun James Thirunavukarasu
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
North American Chapter of the Association for Computational Linguistics, 2019We introduce a new language representation model called BERT, which stands for Bidirectional Encoder Representations from Transformers. Unlike recent language representation models (Peters et al., 2018a; Radford et al., 2018), BERT is designed to pre ...
Jacob Devlin +3 more
semanticscholar +1 more source

