Research on brush face payment system based on internet artificial intelligence

Ying-fa, Yang

doi:10.3233/jifs-179376

Cited by 8 publications

(2 citation statements)

References 9 publications

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“…Computational intelligence in face recognition based on visible images has been rapidly developed and widely used in many practical scenarios, such as security [1][2][3][4][5][6][7][8][9], finance [10][11][12][13][14][15][16][17][18][19], and health care service [20][21][22][23][24][25][26][27][28][29]. However, limited by lighting conditions [30][31][32][33], facial expression [34,35], pose [36,37], occlusion [38,39], and other confounding factors [40], some valuable information are easily to be lost.…”

Section: Introductionmentioning

confidence: 99%

Broad Learning System for Tackling Emerging Challenges in Face Recognition

Zhang¹,

Wang²

2023

Computer Modeling in Engineering &Amp; Sciences

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Face recognition has been rapidly developed and widely used. However, there is still considerable uncertainty in the computational intelligence based on human-centric visual understanding. Emerging challenges for face recognition are resulted from information loss. This study aims to tackle these challenges with a broad learning system (BLS). We integrated two models, IR 3 C with BLS and IR 3 C with a triplet loss, to control the learning process. In our experiments, we used different strategies to generate more challenging datasets and analyzed the competitiveness, sensitivity, and practicability of the proposed two models. In the model of IR 3 C with BLS, the recognition rates for the four challenging strategies are all 100%. In the model of IR 3 C with a triplet loss, the recognition rates are 94.61%, 94.61%, 96.95%, 96.23%, respectively. The experiment results indicate that the proposed two models can achieve a good performance in tackling the considered information loss challenges from face recognition.

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Section: Introductionmentioning

confidence: 99%

Broad Learning System for Tackling Emerging Challenges in Face Recognition

Zhang¹,

Wang²

2023

Computer Modeling in Engineering &Amp; Sciences

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“…This wastes a lot of medical resources, but also aggravates the contradiction between doctors and patients. Therefore, hospitals need to integrate various practical problems existing at this stage and strengthen the application of advanced technologies such as big data and artificial intelligence [6][7].…”

Section: Introductionmentioning

confidence: 99%

Operation and maintenance interactive system based on artificial intelligence and big data information system

Wang¹,

Liang²

2023

International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022)

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In order to better meet the development needs of interconnection and further improve the core operation capability of hospitals, the research of operation and maintenance interactive system based on artificial intelligence and big data information system is proposed. In the process of building the hospital information operation and maintenance platform, there are still some problems such as insufficient support in technology and operation and maintenance resources. It is necessary to effectively optimize the operation and maintenance system with limited human resources to ensure the stable operation and development of the hospital information system. Under this background, this paper analyzes the problems existing in hospital information management and the current situation of operation and maintenance of information technology, and discusses the mode construction of operation and maintenance platform based on big data artificial intelligence architecture. In the construction of hospital information operation and maintenance platform, we should focus on improving the service level and meeting the needs of patients, so as to continuously enhance the security, integration and interactivity of the system platform, thus promoting the sustainable development of China's medical reform.

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Design and Analysis of Human-Machine Interaction Interface of Vending Machine Under Mobile Payment

Tang

2021

Advances in Ergonomics in Design

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Research on brush face payment system based on internet artificial intelligence

Cited by 8 publications

References 9 publications

Broad Learning System for Tackling Emerging Challenges in Face Recognition

Broad Learning System for Tackling Emerging Challenges in Face Recognition

Operation and maintenance interactive system based on artificial intelligence and big data information system

Design and Analysis of Human-Machine Interaction Interface of Vending Machine Under Mobile Payment

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