Results 21 to 30 of about 844 (118)

Detection method of defective coffee beans based on YOLOv5 [PDF]

open access: yes, 2023
Objective: To realize the defect detection of coffee beans. Methods: An improved YOLOv5s network was proposed to embed different attention mechanism modules and activation functions with YOLOv5s as the baseline network.
ZHANG Cheng-yao   +3 more
core   +1 more source

Image recognition method of coal gangue in complex working conditions based on CES-YOLO algorithm [PDF]

open access: yes
Aiming at the complex working conditions environmental factors such as high noise, low illumination, motion blur and mass gangue mixing in coal mines, which lead to the problems of misdetection, omission and low detection accuracy in gangue recognition ...
Deyong LI   +4 more
core   +1 more source

YOLOv3-A: a traffic sign detection network based on attention mechanism [PDF]

open access: yes, 2021
To solve the problem that the existing YOLOv3 algorithm had more false detections and missed detections for traffic sign detection task with small target problems and complex background, based on the YOLOv3, a channel attention method for target ...
Fan GUO   +3 more
core   +1 more source

Semi-supervised Classification for Short Text Based on Multi-grained Graphs and Attention Mechanism [PDF]

open access: yes
Sparse and fuzzy semantics, insufficient information, and irregular expressions in short texts pose great challenges to short text classification tasks.
YOU Ben, LI Xiaohong, YAO Jin, FENG Shaojie
core   +1 more source

From Microstructure to Macroscopic Performance: A Comprehensive Study on Low‐K Oxide‐Doped BNT–LST–NN Ceramics for Energy Storage

open access: yesRare Metals, EarlyView.
ABSTRACT Dielectric ceramics are popular for energy storage materials because of their rapid charge–discharge characteristics, whereas their low energy density and efficiency hinder their miniaturization and integration. In this work, the energy storage performance is significantly enhanced through introducing Al2O3 and TiO2 into the 0.425(Bi0.5Na0.5 ...
Qiansi Zhang   +9 more
wiley   +1 more source

融入注意力的YOLOv3绝缘子串识别方法

open access: yesGaoya dianqi, 2022
绝缘子串是输电线路系统中至关重要的器件之一,基于图像处理的绝缘子串识别,能够更快更准确地识别到绝缘子串。针对输电线路中绝缘子串与绝缘子串、绝缘子串与背景之间相互干扰导致目标识别时存在误差较大的问题,提出一种融入注意力机制的YOLOv3绝缘子串识别方法。该方法在YOLOv3模型的基础上,首先在特征提取网络Darknet-53中加入无参注意力SimAM,聚焦网络和增强有效特征,抑制干扰特征,提高网络对绝缘子串的注意能力;其次根据绝缘子串的形状特征,调整模型预设Anchor box的值;最后以焦点损失 ...
李季   +4 more
doaj  

Research on Insulator Detection Algorithm for High-Speed Rail Contact Network [PDF]

open access: yes
To satisfy the requirements of intelligent inspection at a greater level, a rotated insulator target detection algorithm based on the improved YOLOv5 is proposed to solve the inadequacy of conventional detection algorithms used for contact networks in ...
LIU Shibing, ZHOU Shihan
core   +1 more source

Hybrid Recommender System Based on Attention Mechanisms and Gating Network [PDF]

open access: yes, 2022
Combining user reviews with user ratings to improve the performance of recommender system is the current mainstream research direction of recommender system.However,when user review data is sparse,the performance of most existing recommender systems will
GUO Liang, YANG Xing-yao, YU Jiong, HAN Chen, HUANG Zhong-hao
core   +1 more source

Coalescence‐Ripening Mechanism of γ′−Ni3(Al, Ti) During Long‐Term/High‐Temperature Operation of Ni‐Based Superalloy Discs

open access: yesRare Metals, EarlyView.
ABSTRACT The evolution of the γ′−Ni3(Al, Ti) phase in superalloys is governed by a coupled coalescence‐ripening mechanism driven by elemental diffusion. In this study, thermal exposure experiments were performed at 750°C and 800°C for durations ranging from 100 to 20,000 h.
Zhaotian Wang   +5 more
wiley   +1 more source

Text Classification Method Based on Contrastive Learning and Attention Mechanism [PDF]

open access: yes
Text classification is a basic task in the field of natural language processing and plays an important role in information retrieval, machine translation, sentiment analysis, and other applications.
Lai QIAN, Weiwei ZHAO
core   +1 more source

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