Results 311 to 320 of about 521,807 (336)

AI‐Driven Defecation Analysis by Smart Healthcare Toilet: Exploring Biometric Patterns and Eu‐Tenesmus

open access: yesAdvanced Science, EarlyView.
A healthcare toilet system is introduced to passively measure defecation behavior. Real‐time data on stool dropping duration, thickness, and a newly defined “eu‐tenesmus” interval show correlations with stool form and gender differences. Results from 45 defecation events reveal a promising method for comprehensive defecation analysis.
Zhiquan Song   +16 more
wiley   +1 more source

Scoping Review of Machine Learning Techniques in Marker-Based Clinical Gait Analysis. [PDF]

open access: yesBioengineering (Basel)
Dibbern KN   +5 more
europepmc   +1 more source

Prediction of biological evolution following blood product transfusion during liver transplantation: the contribution of machine learning to decision-making. [PDF]

open access: yesBMJ Health Care Inform
Duranteau O   +11 more
europepmc   +1 more source

Statistical Machine Translation

NLP of Semitic Languages, 2014
We introduce a brief introduction to statistical machine translation for semitic languages along with an overview of machine translation approaches. We discuss the special consideration that should be taken into account when developing SMT systems for Semitic languages.
Hany Hassan, Kareem Darwish
semanticscholar   +3 more sources

Incorporating Statistical Machine Translation Word Knowledge Into Neural Machine Translation

IEEE/ACM Transactions on Audio Speech and Language Processing, 2018
Neural machine translation (NMT) has gained more and more attention in recent years, mainly due to its simplicity yet state-of-the-art performance. However, previous research has shown that NMT suffers from several limitations: source coverage guidance ...
Xing Wang, Zhaopeng Tu, Min Zhang
semanticscholar   +1 more source

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