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  1. 81
  2. 82

    Generation and verification method of trusted signature seal incorporating handwriting features by Li LI, Shang GAO, Peiliang ZUO, Jiazheng XUAN, Han SONG

    Published 2024-02-01
    “…With the rapid development of electronic communication and internet technology, the digitization of document circulation and processing has become increasingly prevalent.The trend towards greater convenience, flexibility, and diversity in electronic document signing is evident through practices such as online signature collection, remote signature confirmation, and electronic signature authentication.However, the signing and verification processes face challenges related to authenticity, integrity, and more.Instances of unlawful entities intercepting, copying, and forging signature images using low-cost methods to sign documents with false identities, as well as tampering with and forging signature files, are common.The application of electronic signature systems also encounters obstacles such as high costs, limited deployment, lack of universality, and complexities in real-time and consistent verification.To address these risks and challenges and ensure reliable verification in personal document signing processes, a credible method for generating and verifying signature seals that integrate handwriting features was proposed.This method primarily utilized the facial recognition and identity information matching functions of a trusted identity authentication platform.It integrated signature handwriting features and uniquely bound them to the signer's identity for reliable authentication.Accordingly, a signature seal with integrated handwriting features, a verification link for the signed document, and a digital signature QR code were generated.Analysis indicates that the signature seal produced by the proposed method not only serves the purpose of identity verification but also enables the discernment of the authenticity of the signed document.The verification link embedded in the QR code can directly validate the signer's identity, handwriting, and the authenticity and consistency of the signed document through online channels, providing a convenient means for the verification of both electronic and paper documents.The proposed method holds broad application prospects in the fields of electronic document circulation and the verification of the authenticity of electronic and paper documents.…”
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  3. 83
  4. 84

    Experimental generation of SNP haplotype signatures in patients with sickle cell anaemia. by Stephan Menzel, Jian Qin, Nisha Vasavda, Swee Lay Thein, Ramesh Ramakrishnan

    Published 2010-09-01
    “…Working with a genetically admixed patient population, we have encountered the necessity to generate haplotype signatures of genetic markers to label genomic fragments with distinct genealogical origin at this locus. …”
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  5. 85
  6. 86

    New generation of monofocal intraocular lens for cataract surgery in comorbid conditions by A. V. Tereshchenko, I. G. Trifanenkova, Yu. E. Prokofiev, A. M. Ivanov, M. V. Okuneva

    Published 2024-12-01
    “…All patients with the IOL Monofocal+ expressed their satisfaction with the vision they received, which was reflected in the results of the VF test-14 QOL questionnaire.Conclusion. New generation monofocal IOLs showed good functional results in patients with cataracts and the considered comorbid pathology of the eye: primary open-angle glaucoma II a, intermediate stage of the dry form of age-related macular degeneration, non-proliferative diabetic retinopathy. …”
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  7. 87

    Measuring and Improving the Efficiency of Python Code Generated by LLMs Using CoT Prompting and Fine-Tuning by Ramya Jonnala, Jeong Yang, Young Lee, Gongbo Liang, Zechun Cao

    Published 2025-01-01
    “…These models are increasingly employed to automate the generation of functionally correct code, address complex computational problems, and facilitate the debugging of existing software systems. …”
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  8. 88

    Impact of Generation Rate of Speech Imagery on Neural Activity and BCI Decoding Performance: A fNIRS Study by Zengzhi Guo, Lisheng Xu, Wenjun Tan, Fei Chen

    Published 2025-01-01
    “…Additionally, the differences in neural activities between the “yes” and “no” speech imagery tasks became more pronounced as the generation rate increased, leading to an improvement in classification performance from 62.81% to 65.78%, and ultimately to 67.50%. …”
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  9. 89
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  11. 91

    The impact of user-generated content in the fashion industry: A case study of SHEIN and PrettyLittleThing by Chloe Carr

    Published 2022-12-01
    “…The rise of online shopping has encouraged online retailers to discover new ways to ensure consumers have a positive experience when searching for information within the competitive landscape. User-generated content (UGC) can be conveyed in a variety of formats and contexts, such as reviews, photos, forum posts, testimonials, and much more (Fader & Winer, 2012). …”
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  12. 92

    A generative adversarial network with multiscale and attention mechanisms for underwater image enhancement by Liquan Zhao, Yuda Li, Tie Zhong

    Published 2025-01-01
    “…In the generative network, we first design a residual convolution module to extract more texture and edge information from underwater images. …”
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  13. 93

    Neuron Network Modeling of Intensification of Isogumulone Extraction in a Rotary Pulse Generator by Anton V. Shafrai, Elena A. Safonova, Dmitry M. Borodulin, Yana S. Golovacheva, Sergey A. Ratnikov, Wasfie Barsoom Wasef Kerlos

    Published 2021-09-01
    “…The resulting model had the following parameters: two hidden layers, 30 neurons each; neuron activation function – GELU; loss function – MSELoss; learning step – 0.001; optimizer – Adam; L2 regularization at 0.00001; training set of four batches, 16 records each; 9,801 epochs. …”
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  14. 94

    Style-VT: Style Conditioned Chord Generation by Variational Transformer With Chord Substitution by Kyowon Song, Dongyoung Seo, Junsu Na, Heecheol Yang

    Published 2025-01-01
    “…We also introduce a newly defined chord substitution into the objective function, allowing for greater flexibility in generated chord progressions. …”
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  15. 95
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    Virtual Synchronous Generator Based on Hybrid Multi-Vector Model Predictive Control by Yinyu Yan, Zhiyuan Fan, Yichao Sun, Wei Wang, Dongmei Yang, Zheng Wei

    Published 2025-02-01
    “…This paper proposes a hybrid multi-vector model predictive control (MPC) to reduce the harmonic content in the output current of a two-level virtual synchronous generator (VSG). Compared to traditional two-vector MPC, the proposed hybrid multi-vector MPC has twelve sets of voltage vectors, meaning that the number of iterative calculations required in each cycle is identical for both control methods. …”
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  17. 97
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    BCDDM: Branch Correction Denoising Diffusion Model for Black Hole Image Generation by Ao Liu, Zelin Zhang, Songbai Chen, Cuihong Wen, Jieci Wang

    Published 2025-01-01
    “…BCDDM offers a novel approach to reducing the computational costs of black hole image generation, providing a faster and more efficient pathway for data set augmentation, parameter estimation, and model fitting.…”
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  19. 99

    Sensorless control of the high-speed switched reluctance generator of the micro power plant by P. G. Kolpakhchyan, D. V. Olkhovatov

    Published 2019-12-01
    “…In the distributed and autonomous generation systems using renewable energy sources, low-power generating units (not more than 100-200 kW) based on microturbines function. …”
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  20. 100

    On Channel Transforms to Enhance Reciprocity and Quantization in Physical-Layer Secret Key Generation by Ghalib Hussain, Syed Junaid Nawaz, Shurjeel Wyne, Mohammad N. Patwary

    Published 2025-01-01
    “…Within the physical layer security (PLS) paradigm, the secret key generation (SKG) technique exploits the wireless channel’s randomness to generate symmetric secret keys for message encryption/decryption by legitimate communication nodes. …”
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