Results 241 to 250 of about 9,795,875 (280)

Machine Learning for Green Solvents: Assessment, Selection and Substitution

Advanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta, Janhavi Nistane, Abhishek Sose, Harikrishna Sahu, Rampi Ramprasad   +4 more
wiley   +1 more source

Dataset of sentiment tagged language resources for Macedonian language. [PDF]

Data Brief
Kochovska S, Vičič J, Kavšek B.
europepmc   +1 more source

Primary Language Spoken at Home and Speech Outcomes Among Children With Cleft Palate. [PDF]

Laryngoscope
Du AE, Lopes O, Mastacouris N, Hanna CW, Scott AR.   +4 more
europepmc   +1 more source

Artificial intelligence and hearing health: a global evidence review of biases and equity implications for Africa. [PDF]

Glob Health Action
Khoza-Shangase K.
europepmc   +1 more source

Immigrant perspectives on navigating the US healthcare system in the Post-COVID-19 landscape: a photo-elicitation project. [PDF]

J Migr Health
Laurence C, Drainoni ML, Kimball SL, Paasche-Orlow MK, Asupoto O, Barnes S, Nansubuga A, Linas BP, Schulson LB.   +8 more
europepmc   +1 more source

KanuriSenti: A novel dataset for sentiment analysis in the under-resourced Kanuri language. [PDF]

Data Brief
Saleh BM, Bilgaiyan S, Sagnika S.
europepmc   +1 more source

Understanding disparities in autism diagnosis and care: A socioecological perspective. [PDF]

PLOS Ment Health
Bala A, Deban C, Hoskinson H, Mukhtar M, Shah A, Syeda A, Hashmi A.   +6 more
europepmc   +1 more source

Automatic speech recognition for under-resourced languages: A survey

Speech Communication, 2014
Speech processing for under-resourced languages is an active field of research, which has experienced significant progress during the past decade. We propose, in this paper, a survey that focuses on automatic speech recognition (ASR) for these languages. The definition of under-resourced languages and the challenges associated to them are first defined.
Laurent Besacier, Tanja Schultz, Etienne Barnard   +2 more
exaly   +7 more sources

Natural language processing for under-resourced languages: Developing a Welsh natural language toolkit [PDF]

Computer Speech and Language, 2022
Abstract Language technology is becoming increasingly important across a variety of application domains which have become common place in large, well-resourced languages. However, there is a danger that small, under-resourced languages are being increasingly pushed to the technological margins. Under-resourced languages face significant challenges in
Douglas Tudhope, Daniel Cunliffe, Andreas Vlachidis   +2 more
exaly   +6 more sources

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Grammar Induction for Under-Resourced Languages: The Case of Ch’ol

Lecture Notes in Computer Science, 2023
Veronica Dahl, Gemma Bel-Enguix
exaly   +2 more sources