Results 161 to 170 of about 1,221,513 (328)

The Research on Chinese Word Segmentation System with Semantic Annotations Information [PDF]

, 2014
Xianyi Cheng, Wei Kang, Jie Zhang, Quan Shi   +3 more
openalex   +1 more source

‘Let's talk about the weather’: The activist curriculum and global climate change education

British Educational Research Journal, EarlyView.
Abstract Activist movements have garnered significant global attention on a range of sustainability issues, often involving collectives of citizens coming together. Invoked is the idea of citizens informed to act, emerging not from a common‐sense understanding of everyday life, but rather from a deep political understanding of the world—one that is ...
Richard Pountney
wiley   +1 more source

Semantic Segmentation of 3D Point Clouds in Outdoor Environments Based on Local Dual-Enhancement

Applied Sciences
Semantic segmentation of 3D point clouds in drivable areas is very important for unmanned vehicles. Due to the imbalance between the size of various outdoor scene objects and the sample size, the object boundaries are not clear, and small sample features
Kai Zhang, Yi An, Yunhao Cui, Hongxiang Dong   +3 more
doaj   +1 more source

Semantic Scene Segmentation for Robotics [PDF]

Deep Learning for Robot Perception and Cognition, chapter 12, pp. 279-311, Elsevier, 2022
Comprehensive scene understanding is a critical enabler of robot autonomy. Semantic segmentation is one of the key scene understanding tasks which is pivotal for several robotics applications including autonomous driving, domestic service robotics, last mile delivery, amongst many others.
arxiv  

Understanding the challenge of developing pedagogical reasoning in initial teacher education: Theorising as practice‐focused research

British Educational Research Journal, EarlyView.
Abstract In this paper, we theorise our practice as teacher educators to understand a practice issue: the challenge our students had in developing pedagogical reasoning. The article discusses the findings of the theorising process to explore how pedagogical reasoning is developed and why it is challenging.
David Morrison‐Love, Fiona Patrick
wiley   +1 more source

Expertise‐inspired artificial intelligence pipeline for clinically applicable reconstruction of tooth‐centric radial planes: Development and multicenter validation

BMEMat, EarlyView.
The expertise‐inspired AI pipeline demonstrates significant clinical utility for rapid and precise analysis of dento‐maxillofafcial CBCT and benefits for intelligent oral health management. Abstract Owing to the tooth‐centered nature of most oral diseases, the tooth‐centric radial plane of cone‐beam computed tomography (CBCT) depicts the anatomical and
Zhuohong Gong, Gengbin Cai, Jiayang Zeng, Beichen Wen, Hengyi Liu, Jiahong Lin, Xiaofei Meng, Peisheng Zeng, Jiamin Shi, Rui Xie, Yang Yu, Yin Xiao, Mengru Shi, Ruixuan Wang, Zetao Chen   +14 more
wiley   +1 more source

An Object-Aware Network Embedding Deep Superpixel for Semantic Segmentation of Remote Sensing Images

Remote Sensing
Semantic segmentation forms the foundation for understanding very high resolution (VHR) remote sensing images, with extensive demand and practical application value.
Ziran Ye, Yue Lin, Baiyu Dong, Xiangfeng Tan, Mengdi Dai, Dedong Kong   +5 more
doaj   +1 more source

Semantic video segmentation: Exploring inference efficiency [PDF]

, 2015
Subarna Tripathi, Serge Belongie, Youngbae Hwang, Thien Truong Nguyen-Ly   +3 more
openalex   +1 more source

Do Not Stop the Loop: Driving Circular Textiles With Technology and Stakeholder Engagement

Business Strategy and the Environment, EarlyView.
ABSTRACT We investigate critical factors enabling the successful implementation of circular ecosystems in the textile industry, with a focus on the interplay between technology and stakeholder engagement. A qualitative approach, involving 35 interviews with managers across 11 Italian SMEs in both B2B and B2C textile segments, was employed.
Chiara Civera, Gabriele Santoro, Valentina Chiaudano   +2 more
wiley   +1 more source

Research on Image Semantic Segmentation Based on Hybrid Cascade Feature Fusion and Detailed Attention Mechanism

IEEE Access
In view of the low segmentation accuracy for small-scale object and insufficient segmentation of local boundary for semantic segmentation methods based on Deep Learning, this paper proposes an image semantic segmentation approach based on attention ...
Zuoqiang Du, Yuan Liang
doaj   +1 more source