[PDF][PDF] 基于卷积神经网络的热轧钢条表面实时缺陷检测
刘艳菊, 王秋霁, 赵开峰, 刘彦忠 - 仪器仪表学报, 2021 - jemi.cnjournals.com
热轧钢条的表面质量对成品至关重要, 因此必须要严格控制热轧钢条的表面出现的缺陷.
针对当前YOLOv4 算法检测精度不高, 对小范围信息表现较差等问题, 提出一种改进YOLOv4 …
针对当前YOLOv4 算法检测精度不高, 对小范围信息表现较差等问题, 提出一种改进YOLOv4 …
QDL-CMFD: A Quality-independent and deep Learning-based Copy-Move image forgery detection method
One of the prevalent methods of image forgery is copy-move, where one or more regions of
an image are duplicated and moved elsewhere in the image. It is usually difficult to detect …
an image are duplicated and moved elsewhere in the image. It is usually difficult to detect …
Multi-scale deep neural network approach with attention mechanism for remaining useful life estimation
A Kara - Computers & Industrial Engineering, 2022 - Elsevier
Abstract Prognostics and Health Management (PHM) is the core task in modern industries to
provide the reliability and availability of mechanical systems. In recent years, the …
provide the reliability and availability of mechanical systems. In recent years, the …
White blood cell type identification using multi-layer convolutional features with an extreme-learning machine
White blood cells (WBCs) are the main component of the immune system that have a major
role in protecting the body against different types of infections arising due to viruses …
role in protecting the body against different types of infections arising due to viruses …
A multichannel location-aware interaction network for visual classification
Fine-grained visual classification aims to identify images that belong to multiple
subcategories within the same category. This is a challenging task as there are only subtle …
subcategories within the same category. This is a challenging task as there are only subtle …
[HTML][HTML] CsAGP: Detecting Alzheimer's disease from multimodal images via dual-transformer with cross-attention and graph pooling
Alzheimer's disease (AD) is a terrible and degenerative disease commonly occurring in the
elderly. Early detection can prevent patients from further damage, which is crucial in treating …
elderly. Early detection can prevent patients from further damage, which is crucial in treating …
CervixFuzzyFusion for cervical cancer cell image classification
K Hemalatha, V Vetriselvi, M Dhandapani - … Signal Processing and …, 2023 - Elsevier
Cervical cancer is a common type of tumor that occurs in the cervix. The cervical cells in the
cervix contain millions of cells with various orientations and overlaps. It is an extensive …
cervix contain millions of cells with various orientations and overlaps. It is an extensive …
NIR/RGB image fusion for scene classification using deep neural networks
Near-infrared (NIR) imaging can add very useful data to many visible range image
processing applications. In this paper, new fusion techniques are proposed to benefit from …
processing applications. In this paper, new fusion techniques are proposed to benefit from …
Deep learning with multiresolution handcrafted features for brain MRI segmentation
The segmentation of magnetic resonance (MR) images is a crucial task for creating pseudo
computed tomography (CT) images which are used to achieve positron emission …
computed tomography (CT) images which are used to achieve positron emission …
Multi-scale graph-based feature fusion for few-shot remote sensing image scene classification
N Jiang, H Shi, J Geng - Remote Sensing, 2022 - mdpi.com
Remote sensing image scene classification has drawn extensive attention for its wide
application in various scenarios. Scene classification in many practical cases faces the …
application in various scenarios. Scene classification in many practical cases faces the …