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International Journal of Pattern Recognition and Artificial Intelligence最新文献

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Intelligent target classification algorithm for 77G radar based on correction data set 基于修正数据集的 77G 雷达智能目标分类算法
IF 1.5 4区 计算机科学
International Journal of Pattern Recognition and Artificial Intelligence Pub Date : 2023-11-23 DOI: 10.1142/s0218001423590231
Jing Zhang, Qingzhao Jiang, Maosheng Fu, Xiancun Zhou, Chaochuan Jia, Cuicui Cai, Quan Zhou, Yu Liu, Xiuha Wu, Xiyuan Shen
{"title":"Intelligent target classification algorithm for 77G radar based on correction data set","authors":"Jing Zhang, Qingzhao Jiang, Maosheng Fu, Xiancun Zhou, Chaochuan Jia, Cuicui Cai, Quan Zhou, Yu Liu, Xiuha Wu, Xiyuan Shen","doi":"10.1142/s0218001423590231","DOIUrl":"https://doi.org/10.1142/s0218001423590231","url":null,"abstract":"","PeriodicalId":54949,"journal":{"name":"International Journal of Pattern Recognition and Artificial Intelligence","volume":"1 ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139244140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Hybrid D-OCapNet: Automated Multi-class Alzheimer's Disease Classification in Brain MRI using Hybrid Dense Optimal Capsule Network 混合 D-OCapNet：使用混合密集最优胶囊网络在脑磁共振成像中自动进行多类阿尔茨海默病分类
IF 1.5 4区 计算机科学
International Journal of Pattern Recognition and Artificial Intelligence Pub Date : 2023-11-23 DOI: 10.1142/s0218001423560256
A.V. Nisha, M. Pallikonda Rajasekaran, R. Kottaimalai, G. Vishnuvarthanan, T. Arunprasath, V. Muneeswaran
{"title":"Hybrid D-OCapNet: Automated Multi-class Alzheimer's Disease Classification in Brain MRI using Hybrid Dense Optimal Capsule Network","authors":"A.V. Nisha, M. Pallikonda Rajasekaran, R. Kottaimalai, G. Vishnuvarthanan, T. Arunprasath, V. Muneeswaran","doi":"10.1142/s0218001423560256","DOIUrl":"https://doi.org/10.1142/s0218001423560256","url":null,"abstract":"","PeriodicalId":54949,"journal":{"name":"International Journal of Pattern Recognition and Artificial Intelligence","volume":"1 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139245319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A cnn-svm study based on the fusion of spectrogram and thermal imaging heterogeneous features for pig cough recognition in field situation 基于频谱图和热成像异构特征融合的 cnn-svm 研究，用于野外猪咳嗽识别
IF 1.5 4区 计算机科学
International Journal of Pattern Recognition and Artificial Intelligence Pub Date : 2023-11-23 DOI: 10.1142/s0218001423540216
Buyu Wang, Weijun Duan, Na Liu, J. Qi
{"title":"A cnn-svm study based on the fusion of spectrogram and thermal imaging heterogeneous features for pig cough recognition in field situation","authors":"Buyu Wang, Weijun Duan, Na Liu, J. Qi","doi":"10.1142/s0218001423540216","DOIUrl":"https://doi.org/10.1142/s0218001423540216","url":null,"abstract":"","PeriodicalId":54949,"journal":{"name":"International Journal of Pattern Recognition and Artificial Intelligence","volume":"69 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139245588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
LCSTR: Scene Text Recognition with Large Convolutional Kernels LCSTR：利用大卷积核进行场景文本识别
IF 1.5 4区 计算机科学
International Journal of Pattern Recognition and Artificial Intelligence Pub Date : 2023-11-23 DOI: 10.1142/s021800142353004x
Jiale Wang, Lina Yang, Jing Wang, Haoyan Yang, Lin Bai, Patrick Shen-Pei Wang, Xichun Li, Huiwu Luo, Huafu Xu
{"title":"LCSTR: Scene Text Recognition with Large Convolutional Kernels","authors":"Jiale Wang, Lina Yang, Jing Wang, Haoyan Yang, Lin Bai, Patrick Shen-Pei Wang, Xichun Li, Huiwu Luo, Huafu Xu","doi":"10.1142/s021800142353004x","DOIUrl":"https://doi.org/10.1142/s021800142353004x","url":null,"abstract":"","PeriodicalId":54949,"journal":{"name":"International Journal of Pattern Recognition and Artificial Intelligence","volume":"212 ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139246295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Deep Multi-Layer Neural Network with Variable-Depth Output 具有可变深度输出的深度多层神经网络
IF 1.5 4区 计算机科学
International Journal of Pattern Recognition and Artificial Intelligence Pub Date : 2023-11-23 DOI: 10.1142/s021800142359022x
Shiueng-Bien Yang, Ting-Wen Liang
{"title":"Deep Multi-Layer Neural Network with Variable-Depth Output","authors":"Shiueng-Bien Yang, Ting-Wen Liang","doi":"10.1142/s021800142359022x","DOIUrl":"https://doi.org/10.1142/s021800142359022x","url":null,"abstract":"","PeriodicalId":54949,"journal":{"name":"International Journal of Pattern Recognition and Artificial Intelligence","volume":"1 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139243081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Graph Convolutional Neural Network with Multi-scale Attention Mechanism for EEG-based Motion Imagery Classification 具有多尺度注意机制的图卷积神经网络用于基于脑电图的运动图像分类
IF 1.5 4区 计算机科学
International Journal of Pattern Recognition and Artificial Intelligence Pub Date : 2023-11-23 DOI: 10.1142/s0218001423540204
Jun Zhu, Qingshan Liu, Chentao Xu
{"title":"Graph Convolutional Neural Network with Multi-scale Attention Mechanism for EEG-based Motion Imagery Classification","authors":"Jun Zhu, Qingshan Liu, Chentao Xu","doi":"10.1142/s0218001423540204","DOIUrl":"https://doi.org/10.1142/s0218001423540204","url":null,"abstract":"","PeriodicalId":54949,"journal":{"name":"International Journal of Pattern Recognition and Artificial Intelligence","volume":"122 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139243179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Convolutional Neural Network Based on Soft Attention Mechanism and Multi-scale Fusion for Skin Cancer Classification 基于软关注机制和多尺度融合的卷积神经网络用于皮肤癌分类
IF 1.5 4区 计算机科学
International Journal of Pattern Recognition and Artificial Intelligence Pub Date : 2023-11-23 DOI: 10.1142/s0218001423560244
Qiwei Bao, Hua Han, Li Huang, A. A. M. Muzahid
{"title":"A Convolutional Neural Network Based on Soft Attention Mechanism and Multi-scale Fusion for Skin Cancer Classification","authors":"Qiwei Bao, Hua Han, Li Huang, A. A. M. Muzahid","doi":"10.1142/s0218001423560244","DOIUrl":"https://doi.org/10.1142/s0218001423560244","url":null,"abstract":"","PeriodicalId":54949,"journal":{"name":"International Journal of Pattern Recognition and Artificial Intelligence","volume":"124 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139243286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
BIM-based building performance simulation analysis: A multi-parameter driven approach to building energy efficiency and carbon reduction 基于 BIM 的建筑性能模拟分析：多参数驱动的建筑节能减碳方法
IF 1.5 4区 计算机科学
International Journal of Pattern Recognition and Artificial Intelligence Pub Date : 2023-11-23 DOI: 10.1142/s0218001423540198
Wu Sun, Liang Zhao
{"title":"BIM-based building performance simulation analysis: A multi-parameter driven approach to building energy efficiency and carbon reduction","authors":"Wu Sun, Liang Zhao","doi":"10.1142/s0218001423540198","DOIUrl":"https://doi.org/10.1142/s0218001423540198","url":null,"abstract":"","PeriodicalId":54949,"journal":{"name":"International Journal of Pattern Recognition and Artificial Intelligence","volume":"118 ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139243899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Evolutionary Gravitational Neocognitron Neural Network based Blood Flow Velocity Prediction using Multi-Exposure Laser Speckle Contrast Imaging 利用多曝光激光斑点对比成像进行基于进化引力新认知神经网络的血流速度预测
IF 1.5 4区 计算机科学
International Journal of Pattern Recognition and Artificial Intelligence Pub Date : 2023-11-23 DOI: 10.1142/s0218001423560232
Pankaj Jain, Saurabh Gupta
{"title":"Evolutionary Gravitational Neocognitron Neural Network based Blood Flow Velocity Prediction using Multi-Exposure Laser Speckle Contrast Imaging","authors":"Pankaj Jain, Saurabh Gupta","doi":"10.1142/s0218001423560232","DOIUrl":"https://doi.org/10.1142/s0218001423560232","url":null,"abstract":"","PeriodicalId":54949,"journal":{"name":"International Journal of Pattern Recognition and Artificial Intelligence","volume":"16 2","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139244110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Muti-scale feature refined network for human pose estimation 人体姿态估计的多尺度特征细化网络
4区 计算机科学
International Journal of Pattern Recognition and Artificial Intelligence Pub Date : 2023-11-09 DOI: 10.1142/s0218001423560220
Qiaoning Yang, Xiaodong Ji, Xiuhui Yang
{"title":"Muti-scale feature refined network for human pose estimation","authors":"Qiaoning Yang, Xiaodong Ji, Xiuhui Yang","doi":"10.1142/s0218001423560220","DOIUrl":"https://doi.org/10.1142/s0218001423560220","url":null,"abstract":"Occlusive keypoints has been a challenge for human pose estimation, especially the mutual occlusion of human bodies. One possible solution to this problem is to utilize multi-scale features, where small scale features are capable of identifying keypoints, while large-scale features can capture the relationship between keypoints. Feature fusion among multi-scale features allows for the exchange of information between keypoints, facilitating the inference of occluded keypoints based on the identified keypoints. However, it’s found that there are invalid features in feature fusion which will interfere valid feature. In this paper, we propose multi-scale feature refined network (MSFRNet) based on HRNet and a new attention module namely multi-resolution attention module (MRAM). The proposed MRAM is designed to strengthen the effective information while suppressing redundant information. It has multiple inputs and outputs and can learn the relationships between keypoints while retaining detailed information. The proposed MSFRNet outperforms HRNet, achieving a 1.4[Formula: see text]AP improvement on the COCO dataset with only a marginal computational increase of 0.35 GFLOPs. Additionally, it demonstrates superior performance with a 0.9[Formula: see text]AP, 0.7[Formula: see text]AP, and 1.8[Formula: see text]AP improvement on the MPII, CrowdPose and OCHuman datasets, respectively. Furthermore, compared with the latest attention mechanism PSA, the MSFRNet exhibits lower computational cost while maintaining the same pose-estimation accuracy.","PeriodicalId":54949,"journal":{"name":"International Journal of Pattern Recognition and Artificial Intelligence","volume":" 28","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135191970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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