Results 191 to 200 of about 45,590 (288)

Data augmentation English-Indonesia-Madurese parallel corpus dataset using neural machine translation. [PDF]

Data Brief
Maulana FI, Heryadi Y, Kusuma GP, Budiharto W.   +3 more
europepmc   +1 more source

Neural Machine Translation-Based Automated Current Procedural Terminology Classification System Using Procedure Text: Development and Validation Study. [PDF]

JMIR Form Res, 2021
Joo H, Burns M, Kalidaikurichi Lakshmanan SS, Hu Y, Vydiswaran VGV.   +4 more
europepmc   +1 more source

A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics

Advanced Robotics Research, EarlyView.
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett, Maxwell Hammond, Niloufar Seyfi, Amirreza Fahim Golestaneh, Venanzio Cichella, Caterina Lamuta   +5 more
wiley   +1 more source

Improvement of English-Chinese bilingual learning by integrating semantic analysis and neural machine translation. [PDF]

Sci Rep
Zhao Y, Wang Q.
europepmc   +1 more source

Detecting Symptom Errors in Neural Machine Translation of Patient Health Information on Depressive Disorders: Developing Interpretable Bayesian Machine Learning Classifiers. [PDF]

Front Psychiatry, 2021
Xie W, Ji M, Zhao M, Zhou T, Yang F, Qian X, Chow CY, Lam KY, Hao T.   +8 more
europepmc   +1 more source

Morphology-Inspired Word Segmentation for Neural Machine Translation

, 2019
Zuters J amacr nis, Strazds Gus, Lcedil eonova Viktorija   +2 more
openalex   +1 more source

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

Advanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source

Bi-Directional Neural Machine Translation with Synthetic Parallel Data [PDF]

, 2018
Xing Niu, Michael Denkowski, Marine Carpuat   +2 more
openalex   +1 more source

Degradable Magnetic Composites from Recycled NdFeB Magnets for Soft Actuation and Sensing

Advanced Robotics Research, EarlyView.
This work presents a degradable soft magnetic composite made from recycled NdFeB particles embedded in a gelatin‐based organogel. The material is processed into magnetic sensors and soft robotic components, which can later be dissolved in a green solvent to recover NdFeB magnetic particles.
Muhammad Bilal Khan, Lin Guo, Kilian Schäfer, Eduardo Sergio Oliveros‐Mata, Xiaotao Wang, Florian Hofmann, Matthias Lutzi, Mark Suppelt, Proloy Taran Das, Jan Schmidtpeter, Imants Dirba, Stephan Rinderknecht, Mario Kupnik, Denys Makarov, Oliver Gutfleisch   +14 more
wiley   +1 more source

Using Self-Training to Improve Back-Translation in Low Resource Neural Machine Translation

, 2020
Idris Abdulmumin, Bashir Shehu Galadanci, Abubakar Isa   +2 more
openalex   +1 more source