Results 71 to 80 of about 160,342 (235)
Diseases Detection in Blueberry Leaves using Computer Vision and Machine Learning Techniques
International Journal of Machine Learning and Computing, 2019 —This paper explains how image processing techniques and Machine Learning algorithms were used, such as Support Vector Machine (SVM), Artificial Neural Networks (ANN) and Random Forest; and Deep Learning´s technique Convolutional Neural Network (CNN) was
Cecilia Sullca +3 more
semanticscholar +1 more source
Fabric Defect Detection Using Computer Vision Techniques: A Comprehensive Review
, 2020 There are different applications of computer vision and digital image processing in various applied domains and automated production process. In textile industry, fabric defect detection is considered as a challenging task as the quality and the price of
A. Rasheed +8 more
semanticscholar +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 +2 more
wiley +1 more source
Dense connection decoding network for crisp contour detection
IET Image Processing, 2021 In the past few years, contour detection algorithm has made obvious progress with the help of convolutional neural networks. The aim of this paper is to present a novel network connecting low‐ and high‐resolution features to make the network achieving ...
Guili Xu, Chuan Lin, Yuehua Cheng
doaj +1 more source
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 +4 more
wiley +1 more source
Segment attention‐guided part‐aligned network for person re‐identification
Electronics Letters, 2021 Part misalignment of the human body caused by complex variations in viewpoint and pose poses a fundamental challenge to person re‐identification. This letter examines Res2Net as the backbone network to extract multi‐scale appearance features. At the same
Wen Wang, Yongwen Liu, Gaoyun An
doaj +1 more source
Advanced Functional Materials, EarlyView.Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana +2 more
wiley +1 more source
A pixel pair–based encoding pattern for stereo matching via an adaptively weighted cost
IET Image Processing, 2021 Stereo matching, which is a key problem in computer vision, faces the challenge of radiometric distortions. Most of the existing stereo matching methods are based on simple matching cost algorithms and appear the problem of mismatch under radiometric ...
Yuli Fu +3 more
doaj +1 more source
Advanced Functional Materials, EarlyView.Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz +3 more
wiley +1 more source
Bilateral attention network for semantic segmentation
IET Image Processing, 2021 Enhancing network feature representation capabilities and reducing the loss of image details have become the focus of semantic segmentation task. This work proposes the bilateral attention network for semantic segmentation.
Dongli Wang +3 more
doaj +1 more source