Laplace Graph Embedding Class Specific Dictionary Learning for Face Recognition by Li Wang, Yan-Jiang Wang, Bao-Di Liu

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Feature extraction using sparse component decomposition for face classification by Hamid Reza Shahdoosti

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A Survey on Deepfake Video Detection by Peipeng Yu, Zhihua Xia, Jianwei Fei, Yujiang Lu

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Optimization of nano-finned enclosure-shaped latent heat thermal energy storage units using CFD, RSM, and enhanced hill climbing algorithm by Tao Hai, Ihab Omar, As’ad Alizadeh, Neeraj Varshney, Saurav Dixit, Abbas J. Sultan, Ali E. Anqi, Sanjay Bhatnagar, Husam Rajab, Narinderjit Singh Sawaran Singh

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Federated Transfer Learning for IIoT Devices With Low Computing Power Based on Blockchain and Edge Computing by Peiying Zhang, Hao Sun, Jingyi Situ, Chunxiao Jiang, Dongliang Xie

“…However, many devices in the IIoT currently have a problem of low computing power, so these devices cannot perform well facing the tasks of training and updating models in federated learning. …”
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Research on Unmanned Aerial Vehicle Emergency Support System and Optimization Method Based on Gaussian Global Seagull Algorithm by Songyue Han, Mingyu Wang, Junhong Duan, Jialong Zhang, Dongdong Li

“…Overall, our work alleviates the pain points faced in rescue scenarios to some extent.…”
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On Self-Scaling Variable-Metric Algorithms by Abbas Al-Bayati, Mardin Taher

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A competitive-collaborative nonnegative representation method and its application for face recognition in smart campus by Tingting Guo, Ziqi Li, Jun Sun, Yonghong Zhang, Qingfeng Xia, Ke Ren

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A Customizable Face Generation Method Based on Stable Diffusion Model by Wenlong Xiang, Shuzhen Xu, Cuicui Lv, Shuo Wang

“…Facial generation technology uses computer algorithms and artificial intelligence techniques to generate realistic facial images. …”
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On the generalisation capabilities of Fisher vector‐based face presentation attack detection by Lázaro J. González‐Soler, Marta Gomez‐Barrero, Christoph Busch

“…In contrast, for more realistic scenarios, existing algorithms face difficulties in detecting unknown PAI species which are only included in the test set. …”
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EXPERIENCE OF USING DIGITAL SYSTEMS FOR DIAGNOSTICS OF HYPERTROPHIC SKIN SCARS OF FACE by D.S. Avetikov, O.P. Bukhanchenko, I.O. Ivanytsky, N.A. Sokolova, I.V. Boyko

“…Currently, conventional algorithms for selecting methods of treating patients with scars are available. …”
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IoT-MFaceNet: Internet-of-Things-Based Face Recognition Using MobileNetV2 and FaceNet Deep-Learning Implementations on a Raspberry Pi-400 by Ahmad Saeed Mohammad, Thoalfeqar G. Jarullah, Musab T. S. Al-Kaltakchi, Jabir Alshehabi Al-Ani, Somdip Dey

“…The investigation proposes a framework called IoT-MFaceNet (Internet-of-Things-based face recognition using MobileNetV2 and FaceNet deep-learning) utilizing pre-existing deep-learning methods, employing the MobileNetV2 and FaceNet algorithms on both ImageNet and FaceNet databases. …”
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Super-Resolution Reconstruction Method of Face Image Based on Attention Mechanism by Chenglin Yu, Hailong Pei

“…In order to be able to generate face images with rich texture details, the algorithm proposed in this paper captures implicit weight information in channel and space domains through dual attention modules, so as to allocate computing resources more effectively and speed up the network convergence. …”
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Face Spoofing Detection with Stacking Ensembles in Work Time Registration System by Rafał Klinowski, Mirosław Kordos

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Computer-Aided Facial Soft Tissue Reconstruction with Computer Vision: A Modern Approach to Identifying Unknown Individuals by Svenja Preuß, Sven Becker, Jasmin Rosenfelder, Dirk Labudde

“…The models did not indicate significant similarity, highlighting a gap between human perception and algorithmic assessment. These findings suggest that current face recognition algorithms may not yet be fully suited to evaluating reconstructions, which tend to deviate in subtle but critical facial features. …”
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Application of computer vision in intelligent security by Zhihong CHEN, Mingxiao WANG

“…The development of computer vision and deep learning technology in the field of artificial intelligence were summarized, the relationship between them was expounded, and its future development trend was proposed combining with 5G technology.The actual case of face capture in a community was analyzed, and the application of computer vision technology in the intelligent security industry of urban governance was focused on, including process design, business logic and algorithm principle, hoping to provide reasonable suggestions and new ideas for experts and scholars in related fields.…”
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Real Time Face-mask Detection with Arduino to Prevent COVID-19 Spreading by Saman M. Almufti, Ridwan B. Marqas, Zakiya A. Nayef, Tamara S. Mohamed

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Securing face images in UAV networks using chaos and DNA cryptography approach by Saba Inam, Shamsa Kanwal, Eaman Amin, Omar Cheikhrouhou, Monia Hamdi

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A Self-Supervised Adversarial Deblurring Face Recognition Network for Edge Devices by Hanwen Zhang, Myun Kim, Baitong Li, Yanping Lu

“…Experimental results show that the proposed model achieves high accuracy and recall rates across multiple facial recognition datasets, with an average recall rate of 87.40% and accuracy rates of 81.06% and 79.77% on the YTF, IMDB-WIKI, and WiderFace datasets, respectively. These findings confirm that the model effectively addresses the challenges of recognizing faces in dynamic and blurry conditions in human activity recognition, demonstrating significant application potential.…”
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Student Performance Prediction Using Machine Learning Algorithms by Esmael Ahmed

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