Results 91 to 100 of about 55,371 (314)

Finer details of language modeling: text segmentation, working within resource limits, and watermarking

, 2023
Evan Lucas
openalex   +1 more source

Manufacturing Continuous Fiber‐Reinforced Printing Filaments: Development of a Post‐Consolidation Unit

Advanced Engineering Materials, EarlyView.
A novel, temperature‐controlled post‐consolidation unit is developed to test its potential to improve the melt impregnation process used to manufacture continuous fiber‐reinforced filaments for additive manufacturing of high‐performance thermoplastics.
Daniel Beermann, Patrick Schiebel, David May   +2 more
wiley   +1 more source

Unidirectional Tape‐Based Composites from Hemp and Pineapple Leaf Fiber: Mechanical Performance in Conventional and Bio‐Based Matrices

Advanced Engineering Materials, EarlyView.
The study investigates novel semi‐finished products made of unidirectionally arranged hemp or pineapple leaf fiber‐reinforced composites produced from different matrices. The materials are analyzed in terms of their mechanical and interfacial properties and void content.
Nina Graupner, Raja Bade, Valentin Ackermann, Roja M. Baumann, Corvin Bischoff, Jona F. Ebeling, Oskar Glenz, Marlo Groh, Jonathan Groth, Finja Hiller, Tom Hirschmüller, Felix Menke, Syntcha Ngantchou Lecdou, Mika Ohler, Daniel Rafii Vardiny, Darius Richter, Dario Röper, Henrik Schumacher, Theresa Stein, Benjamin Vorbeck, Elisabeth Wermter, Kay Kölzig, Jörg Müssig   +22 more
wiley   +1 more source

Self-Training Based Image–Text Multimodal Unsupervised Domain Adaptation Segmentation Model for Remote Sensing Images

Remote Sensing
Deep self-training-based unsupervised domain adaptation (UDA) semantic segmentation methods learn from labeled source domain images and unlabeled target domain images, performing more stably than those based on adversarial training.
Qianqian Liu, Xili Wang
doaj   +1 more source

Using Text Segmentation Algorithms for the Automatic Generation of E-Learning Courses [PDF]

, 2014
Can Özmen, Alexander Streicher, Andrea Zielinski   +2 more
openalex   +1 more source

A Simple and Fast Technique for Takri Touching Text Segmentation Using Local and Non-Local Features

, 2022
Shikha Magotra, Baijnath Kaushik, Ajay Kaul   +2 more
openalex   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

Convolutional recurrent neural networks with hidden Markov model bootstrap for scene text recognition

IET Computer Vision, 2017
Text recognition in natural scene remains a challenging problem due to the highly variable appearance in unconstrained condition. The authors develop a system that directly transcribes scene text images to text without character segmentation.
Fenglei Wang, Qiang Guo, Jun Lei, Jun Zhang   +3 more
doaj   +1 more source

Interaction between Molten Al‐Killed Mn–B Steel and Carbon‐Bonded MgO Refractories Based on Recyclates

Advanced Engineering Materials, EarlyView.
High‐temperature interactions between low‐sulfur Al‐killed Mn–B steel and MgO–C refractories (0 and 50 wt% recyclates) are studied via finger immersion tests (1600 °C). Surface‐active elements influence infiltration. MgO/CaS layer forms, along with spinel and calcium silicate.
Matheus Roberto Bellé, Lukas Neubert, Anton Yehorov, Till M. J. Stadtmüller, Christos G. Aneziris, Olena Volkova   +5 more
wiley   +1 more source

The impact of differences in text segmentation on the automated quantitative evaluation of song-lyrics. [PDF]

PLoS One, 2020
Tegge F, Parry K.
europepmc   +1 more source