Results 51 to 60 of about 33,441 (257)

A Concept of a Digital and Traceable Manufacturing Documentation Based on Formalized Process Description Applied on Composite Aircraft Moveable

Advanced Engineering Materials, EarlyView.
The documentation of component manufacture has become an essential part of today's production processes, especially for the analysis and optimization of production or component design with regard to structural performance, economic efficiency, and sustainability.
Björn Denker, Dominik Delisle, Christian Krombholz, Martin Rädel, Frank Dressel   +4 more
wiley   +1 more source

SFSCDNet: A Deep Learning Model With Spatial Flow-Based Semantic Change Detection From Bi-Temporal Satellite Images

IEEE Access
Semantic change detection in remote sensing imagery plays a pivotal role in urban planning, environmental monitoring, and disaster assessment applications.
K. S. Basavaraju, N. Sravya, Vibha Damodara Kevala, Shilpa Suresh, Shyam Lal   +4 more
doaj   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

A Remote Sensing Image Change Detection Network With Feature Constraints From a Visual Foundation Model

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Change detection aims to identify surface changes by analyzing remote sensing imagery acquired at different time points. A wide range of deep learning methods have been developed, typically relying on carefully designed models trained on limited publicly
Zhaoming Wu, Luyang Zan, Zhengchao Chen, Mingyong Cai, Yixiang Li, Zeqing Wang, Jun Xie, Xuewei Shi   +7 more
doaj   +1 more source

TextSCD: Leveraging Text-based Semantic Guidance for Remote Sensing Image Semantic Change Detection [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Semantic change detection (SCD) in remote sensing image aims to identify semantic alterations between bi-temporal images captured at the same geographic location.
H. Huang, Q. Cheng, Q. Cheng, D. Zhu, X. Huang, Q. Zhao   +5 more
doaj   +1 more source

Building Change Detection in Remote Sensing Images Based on Dual Multi-Scale Attention

Remote Sensing, 2022
Accurate change detection continues to pose challenges due to the continuous renovation of old urban areas and the emergence of cloud cover in coastal areas.
Jian Zhang, Bin Pan, Yu Zhang, Zhangle Liu, Xin Zheng   +4 more
doaj   +1 more source

Semantic Segmentation for Change Detection in Satellite Imaging

Vilnius University Open Series
Change detection is a common and actual problem in the field of remote sensing. The classical approaches using raw pixel information are very sensitive to noise. In this study we propose the usage of additional semantic information for change detection.
Kömürcü, Kürşat, Petkevičius, Linas   +1 more
openaire   +2 more sources

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Semantic-CD: Remote Sensing Image Semantic Change Detection Towards Open-Vocabulary Setting

IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium
Remote sensing image semantic change detection is a method used to analyze remote sensing images, aiming to identify areas of change as well as categorize these changes within images of the same location taken at different times. Traditional change detection methods often face challenges in generalizing across semantic categories in practical scenarios.
Zhu, Yongshuo, Li, Lu, Chen, Keyan, Liu, Chenyang, Zhou, Fugen, Shi, Zhenwei   +5 more
openaire   +2 more sources