Results 131 to 140 of about 1,221,513 (328)

Knowledge Distillation‐Based Zero‐Shot Learning for Process Fault Diagnosis

Advanced Intelligent Systems, EarlyView.
Process and image data are equivalent with the teacher model pretrained on image data. Knowledge distillation transfers normal condition data to the student model. When an unknown fault occurs, differences between the teacher and student models are quantified via gradients to isolate the fault. Data‐driven deep learning is effective in diagnosing known
Yi Liu, Jiajun Huang, Mingwei Jia
wiley   +1 more source

Applied Artificial Intelligence in Materials Science and Material Design

Advanced Intelligent Systems, EarlyView.
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel, Martin Børstad Eriksen, Alejandro Castro‐Alvarez, Jose H. Garcia, Marc Botifoll, Oscar Avalos‐Ovando, Jordi Arbiol, Aitor Mugarza   +7 more
wiley   +1 more source

Geometry‐Guided Transformer for Monocular 3D Object Detection

Advanced Intelligent Systems, EarlyView.
This work proposes a geometry‐guided transformer‐based framework for monocular 3D object detection. By incorporating spatial features and geometry guidance through the advanced transformer structure, the method addresses the limitations of existing methods and improves detection accuracy and convergence speed, achieving SOTA detection performance with ...
Man Zhang, Yongqiang Zhang, Jinwei Sun, Kai‐Leung Yung, Lidong Yang   +4 more
wiley   +1 more source

Cooperative Semantic Segmentation and Image Restoration in Adverse Environmental Conditions [PDF]

arXiv, 2019
Most state-of-the-art semantic segmentation approaches only achieve high accuracy in good conditions. In practically-common but less-discussed adverse environmental conditions, their performance can decrease enormously. Existing studies usually cast the handling of segmentation in adverse conditions as a separate post-processing step after signal ...
arxiv  

Empowering Biomedical Research with Foundation Models in Computational Microscopy: A Systematic Review

Advanced Intelligent Systems, EarlyView.
The integration of foundation models into computational microscopy revolutionizes biomedical research by enhancing imaging resolution, accelerating data analysis, and enabling real‐time biological interpretation. This systematic review critically examines recent advancements, highlights translational challenges, and discusses the transformative ...
Di Ding, Tianliang Yao, Genyi Feng, Xueqing Gao, Xusen Sun, Rong Luo   +5 more
wiley   +1 more source

Semantic segmentation of substation tools using an improved ICNet network

Electronic Research Archive
In the field of substation operation and maintenance, real-time detection and precise segmentation of tools play an important role in maintaining the safe operation of the power grid and guiding operators to work safely.
Guozhong Liu, Qiongping Tang, Changnian Lin, An Xu, Chonglong Lin, Hao Meng, Mengyu Ruan, Wei Jin   +7 more
doaj   +1 more source

A self-attention based global feature enhancing network for semantic segmentation of large-scale urban street-level point clouds

International Journal of Applied Earth Observations and Geoinformation, 2022
Point clouds of large-scale urban street scenes contain large quantities of object categories and rich semantic information. The semantic segmentation is the basis and key to subsequent essential applications, such as digital twin engineering and city ...
Qi Chen, Zhenxin Zhang, Siyun Chen, Siyuan Wen, Hao Ma, Zhihua Xu   +5 more
doaj  

JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds [PDF]

arXiv, 2019
In this paper, we propose a novel joint instance and semantic segmentation approach, which is called JSNet, in order to address the instance and semantic segmentation of 3D point clouds simultaneously. Firstly, we build an effective backbone network to extract robust features from the raw point clouds.
arxiv  

Flexible Strain Sensor Enabled by Back Propagation Neural Network for Gesture Recognition

Advanced Intelligent Systems, EarlyView.
By combining 3D printing with microfluidics, a flexible strain sensor has been developed in a convenient, safe, and effective way. Consisting of a conductive microfiber with a polyurethane shell and a liquid metal core, the sensor exhibits excellent conductivity and stretchability.
Yikai Wu, Jinpeng Wang, Can Wang, Linlin Xia, Jie Wang   +4 more
wiley   +1 more source

A Spatial and Semantic Alignment Fusion Network for SeaLand Port Segmentation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
To address the issues of complex backgrounds and poor segmentation performance for small ship objects in sea–land port areas, we propose a sea–land port segmentation algorithm based on spatial and semantic alignment fusion.
Bo Zhang, Yaxiong Chen, Weichong Dang, Shengwu Xiong, Xiaoqiang Lu   +4 more
doaj   +1 more source