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  1. 1781

    Primitive-Level vs. Implementation-Level DPA Security: a Certified Case Study by Charles Momin, François-Xavier Standaert, Corentin Verhamme

    Published 2025-06-01
    “…It allows us to put forward the different evaluation challenges that they raise, and the similar to slightly better cost vs. security tradeoff that the leakage-resilient PRF offers in our experiments. …”
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    Article
  2. 1782

    Assessing Crash Reduction at Stop-Controlled Intersections: A Before-After Study of LED-Backlit Signs Using Crash and Conflict Data by Maziyar Layegh, Ciprian Alecsandru, Matin Giahi Foomani

    Published 2025-04-01
    “…Microscopic models based on observed turning movement counters (TMCs) were calibrated for conflict estimation using a genetic algorithm (GA). Generalized linear models (GLMs) estimated accident and conflict frequencies under different treatment scenarios. …”
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  3. 1783

    Collaborative Optimization Planning Method for Distribution Network Considering “Hydropower, Photovoltaic, Storage, and Charging” by Jinlin Liao, Jia Lin, Guilian Wu, Sudan Lai

    Published 2024-01-01
    “…The optimal ideal solution is used for screening to obtain the optimal planning scheme under different scenarios. Then, a comprehensive evaluation is carried out on the optimal planning schemes of different scenarios. …”
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    Article
  4. 1784

    PISCFF-LNet: A Method for Autonomous Flight of UAVs Based on Lightweight Road Extraction by Yuanxu Zhu, Tianze Zhang, Aiying Wu, Gang Shi

    Published 2025-03-01
    “…Finally, we applied the algorithm to a UAV, using a PID-based flight-control algorithm. …”
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    Article
  5. 1785

    Blind source separation and unmanned aerial vehicle classification using CNN with hybrid cross-channel and spatial attention module by Jiangong Ni, Zhigang Zhou

    Published 2025-07-01
    “…The experimental results indicate that the mean absolute error (MAE) of the original algorithm was 14.58%, while the MAE of the improved FastICA decreased by 10.31%, dropping to 4.27%. …”
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    Article
  6. 1786

    Research on the Injection Mold Design and Molding Process Parameter Optimization of a Car Door Inner Panel by Kefan Yang, Youmin Wang, Guoqing Wang

    Published 2022-01-01
    “…We established the objective function model with gate position as the independent variable, and used a multi-population genetic algorithm to solve the optimal position of the function model to get the best gate position. …”
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    Article
  7. 1787

    Clustering-Based Thermography for Detecting Multiple Substances Under Large-Scale Floating Covers by Yue Ma, Benjamin Steven Vien, Thomas Kuen, Wing Kong Chiu

    Published 2024-12-01
    “…Cooling constants are used to reconstruct thermal images, and clustering algorithms are explored to segment and identify different material states beneath the covers. …”
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    Article
  8. 1788

    An Intelligent Track Segment Association Method Based on Characteristic-Aware Attention LSTM Network by Jiadi Qi, Xiaoke Lu, Jinping Sun

    Published 2025-05-01
    “…The algorithm can segment and temporally align track segments containing multi-dimensional characteristics. …”
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    Article
  9. 1789

    Dementia Scale Score Classification Based on Daily Activities Using Multiple Sensors by Akira Minamisawa, Shogo Okada, Ken Inoue, Mami Noguchi

    Published 2022-01-01
    “…We then developed a feature extraction method related to daily activity patterns based on a clustering algorithm and analyzed its effectiveness. In the experimental evaluation, we trained binary classification models to classify dementia scale scores based on the Mini-Mental State Examination (MMSE) from these datasets. …”
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    Article
  10. 1790

    Research on RF Intensity Temperature Sensing based on 1D-CNN by DING Meiqi, GUI Lin, WANG Ziyi, SHANG Disen, QIAN Min, LI Qiankun

    Published 2025-04-01
    “…Finally, the Root Mean Square Error (RMSE) is used as the evaluation index, and the performance of 1D-CNN is compared with the traditional algorithms (maximum-value method, centroid method and Gaussian fitting method) to analyze its performance under different temperature conditions.…”
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  11. 1791

    MULTI-SENSORY BRANDING AS A TOOL FOR THE FORMATION OF A POSITIVE IMAGE OF THE HIGHER EDUCATION INSTITUTION by Natalya A. Spirina

    Published 2015-05-01
    “…The author also offers the algorithm of creation the educational brand, based on the five senses of consumers, consisting of six interrelated stages: audit of the sensory elements of brand, the search for ideas, the choice of scenario, creating an image, the implementation of something intended, and the results evaluation. …”
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  12. 1792

    Risk Assessment for Water Disaster of Karst Tunnel Based on the Weighting of Reliability Measurement and Improved Extension Cloud Model by Yingli Jiang, Jie Cui, Hao Liu, Yanlong Zhang

    Published 2023-01-01
    “…Secondly, according to the two different entropy algorithms of the extension cloud model, an improved extension cloud model is proposed based on the entropy algorithm fusion of game theory. …”
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  13. 1793

    Heterogeneity-Aware Personalized Federated Neural Architecture Search by An Yang, Ying Liu

    Published 2025-07-01
    “…Furthermore, we develop a model-heterogeneous FL algorithm called heteroFedAvg to facilitate collaborative model training for the discovered personalized models. …”
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  14. 1794

    Integrating deformable CNN and attention mechanism into multi-scale graph neural network for few-shot image classification by Yongmin Liu, Fengjiao Xiao, Xinying Zheng, Weihao Deng, Haizhi Ma, Xinyao Su, Lei Wu

    Published 2025-01-01
    “…In order to extract comprehensive and critical feature information, a new CA-MFE algorithm is proposed. The algorithm first utilizes different convolution kernels in CNN to extract multi-scale local feature information, and then based on the global feature extraction ability of attention mechanism, parallel processing of channel and spatial attention mechanism is used to extract multidimensional global feature information. …”
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  15. 1795

    Investigating the Stroke- and Aging-Related Changes in Intermuscular Coupling by Refined Composed Multiscale Fuzzy Entropy by Hairong Yu, Yuanyu Wu, Rong Song

    Published 2025-01-01
    “…Meanwhile, the influence of aging and stroke on the human neuromuscular system is comprehensively studied by a stable and reliable entropy algorithm, and it contributes to the rehabilitation clinical evaluation of stroke patients.…”
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  16. 1796

    Unsupervised Salient Object Detection by Aggregating Multi-Level Cues by Chenxing Xia, Hanling Zhang

    Published 2018-01-01
    “…Extensive experimental results demonstrate that the proposed algorithm performs favorably against the state-of-art saliency detection methods in terms of different evaluation metrics on several benchmark datasets.…”
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  17. 1797

    Red Wine Classification Using SVM and RBF Kernel by Kevin Silvanus Hutabarat, Rosalia Arum Kumalasanti, M.T.

    Published 2024-12-01
    “…The duration of fermentation and the materials used will give different quality products. Nowadays technology is present to provide solutions to these problems by using the SVM algorithm on Machine Learning. …”
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  18. 1798

    The impact of vehicle moving violations and freeway traffic flow on crash risk: An application of plugin development for microsimulation. by Junhua Wang, Yumeng Kong, Ting Fu, Joshua Stipancic

    Published 2017-01-01
    “…A Fuzzy C-mean Clustering algorithm was developed to identify high risk states in different road segments over time. …”
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  19. 1799

    Treatment for rheumatic polymyalgia by Azamat Makhmudovich Satybaldyev

    Published 2013-03-01
    “…The role of nonsteroidal anti-inflammatory drugs in the treatment of RP is also evaluated. An algorithm is proposed for the management of a patient with RP.…”
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  20. 1800

    Enhancing Multi-Key Fully Homomorphic Encryption with Efficient Key Switching and Batched Multi-Hop Computations by Liang Zhou, Ruwei Huang, Bingbing Wang

    Published 2025-05-01
    “…Our approach eliminates the need for an auxiliary Gentry-Sahai-Waters (GSW)-type scheme, simplifying the design and significantly reducing the public key size. We propose novel algorithms for evaluation key generation and key switching that simplify the computation while allowing each party to independently precompute and share its evaluation keys, thereby reducing both computational overhead and storage costs. …”
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