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International Journal of Biometrics最新文献

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A liveness detection system for sclera biometric applications 用于巩膜生物识别应用的活体检测系统
Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-01-01 DOI: 10.1504/ijbm.2023.133956
Sumanta Das, Ishita De Ghosh, Abir Chattopadhyay
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引用次数: 0
An empirical analysis of deep ensemble approach on COVID-19 and tuberculosis X-ray images 新型冠状病毒肺炎与结核病x线图像的深度集合方法实证分析
Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-01-01 DOI: 10.1504/ijbm.2023.130653
Aakanksha Sharaff, Madhur Singhal, Arham Chouradiya, Pavan Gupta
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引用次数: 1
Iris Recognition System Using Deep Learning Techniques 使用深度学习技术的虹膜识别系统
IF 0.7 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-01-01 DOI: 10.1504/ijbm.2023.10051537
Ahmed Y. A. Saeed, Hadeel Al Amery, A. Sallam
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引用次数: 0
Identification based on feature fusion of multimodal biometrics and deep learning 基于多模态生物特征融合和深度学习的身份识别
IF 0.7 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2022-01-01 DOI: 10.1504/ijbm.2022.10047593
Christophe Charrier, Abdelatif Rahmoun, Freha Mezzoudj, Chahreddine Medjahed
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引用次数: 0
Performance Enhancement of Symmetric Hashed Fingerprint Template using Dynamic Threshold Matching Algorithm 利用动态阈值匹配算法增强对称哈希指纹模板的性能
IF 0.7 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2022-01-01 DOI: 10.1504/ijbm.2022.10043185
Ajish Sreedharan
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引用次数: 2
A robust and efficient fingerprint minutiae extraction in post-processing algorithm 一种鲁棒高效的指纹细节提取后处理算法
IF 0.7 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2022-01-01 DOI: 10.1504/ijbm.2022.10042837
V. Palanisamy, R. Anandha Jothi
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引用次数: 1
Applications of deep learning algorithms in biomedical signal processing - pros and cons 深度学习算法在生物医学信号处理中的应用——利弊
IF 0.7 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2022-01-01 DOI: 10.1504/ijbm.2022.10042836
M. Mohanty, G. Patra, Saumendra Kumar Mohapatra
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引用次数: 0
Research on fingerprint image recognition based on convolution neural network 基于卷积神经网络的指纹图像识别研究
IF 0.7 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2021-01-01 DOI: 10.1504/ijbm.2021.10034248
Zheng Xin, Tiancheng Lifang, Xu Huijuan
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引用次数: 4
LAHAR-CNN: human activity recognition from one image using convolutional neural network learning approach LAHAR-CNN:使用卷积神经网络学习方法从一张图像中识别人类活动
IF 0.7 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2021-01-01 DOI: 10.1504/ijbm.2021.10038946
A. Alimi, F. Sayadi, B. Ouni, Hend Basly, W. Ouarda
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引用次数: 2
Non-Financial Disclosure Assurance: Critical Insights from the Italian Financial Services Sector 非财务披露保证:来自意大利金融服务部门的重要见解
IF 0.7 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2020-12-04 DOI: 10.5539/ijbm.v16n1p8
A. Pagani, S. Moggi, A. Gaetano
Directive 2014/95/EU was released with the aim of improving the transparency, comparability and harmonization of non-financial reporting among European undertakings. However, the Directive is vague regarding both non-financial disclosure contents and the transposition of its provisions into national European laws, making it somewhat ambiguous. This issue has been underlined by scholars, who have found the comparison of non-financial disclosures challenging and have not seen a considerable improvement in the level of transparency. This is also mirrored in the assurance process, which remains underexplored. The present exploratory study analyses non-financial disclosure assurance in the Italian financial services sector. Content analysis of the level and features of assurance of non-financial disclosures published in 2020 was conducted. The results show that the ambiguity of the Directive also has consequences for assurance outcomes, which remain limited and strictly adhere to provisions provided by national practitioner associations.
2014/95/EU指令发布,旨在提高欧洲企业之间非财务报告的透明度、可比性和协调性。然而,该指令在非财务披露内容和其条款在欧洲国家法律中的转换方面都是模糊的,这使得它有些模棱两可。学者们强调了这个问题,他们发现非财务信息披露的比较具有挑战性,而且透明度水平没有显著提高。这也反映在保证过程中,这一过程仍未得到充分探索。本探索性研究分析了意大利金融服务部门的非财务披露保证。对2020年非财务信息披露的保障水平和特征进行了内容分析。结果表明,该指令的模糊性也对保证结果产生了影响,保证结果仍然有限,并严格遵守国家从业者协会提供的规定。
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引用次数: 3
期刊
International Journal of Biometrics
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