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  1. 11501

    Review on the Millimeter-Wave Generation Techniques Based on Photon Assisted for the RoF Network System by Jiangnan Xiao, Chuang Zhao, Xingxing Feng, Xu Dong, Jiangli Zuo, Jun Ming, Ye Zhou

    Published 2020-01-01
    “…Furthermore, we list several approaches to realize the large capacity data transmission techniques and describe the digital signal processing (DSP) algorithm flow in the receiver. In the end, we summarize the RoF network system and look forward to the future.…”
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  2. 11502

    SAFIRE STRENGTH OPTIMIZATION: EFFECT ON TISSUE CONTRAST AND PATHOLOGICAL ASSESSMENT OF BRAIN MSCT WITH NON-HEMORRHAGE STROKE (SNH) by I Putu Eka Juliantara, Angel Lingkan Martoyo, Made Sayang Pratista

    Published 2024-03-01
    “…Background: Sinogram Affirmed Iterative Reconstruction (SAFIRE) is an Iterative Reconstruction algorithm that combines IR techniques that utilize raw data and image data iterations as parameters that underlie noise regularization in images in the reconstruction process to improve image quality. …”
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  3. 11503

    Shine on: Review of Laser- and Light-Based Therapies for the Treatment of Burn Scars by C. Scott Hultman, Renee E. Edkins, Clara N. Lee, Catherine T. Calvert, Bruce A. Cairns

    Published 2012-01-01
    “…Three different platforms are now poised to alter our reconstructive algorithm: (1) vascular-specific pulsed dye laser (PDL) to reduce hyperemia, (2) ablative fractional CO2 laser to improve texture and pliability of the burn scar, and (3) intense pulsed light (IPL) to correct burn scar dyschromia and alleviate chronic folliculitis. …”
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    Article
  4. 11504
  5. 11505

    Nonlinear vibration analysis of a 3DOF double pendulum system near resonance by Asmaa Amer, W. Zhang, T.S. Amer, H. Li

    Published 2025-02-01
    “…These solutions are ascertained by contrasting them with numerical solutions (NS) that are derived utilizing the fourth-order Runge-Kutta algorithm (RKA-4). The modulation equations are constructed, and the principal external resonance cases are scrutinized concurrently based on the solvability constraints. …”
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    Article
  6. 11506

    Assessing Accessibility of Dockless Sharing-Bike Networks by the Social Network Analysis Method by Pei Liu, Junlan Chen, Heyang Sun, Xiucheng Guo, Yan Wang, Zhenjun Zhu

    Published 2021-01-01
    “…Considering bicycle travel characteristics, a hierarchical clustering algorithm was applied to construct the dockless sharing-bike network. …”
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  7. 11507

    The nature of self-medication in Uganda: a systematic review and meta-analysis by Danladi Makeri, Priscilla Peter Dilli, Theophilus Pius, Naheem Adekilekun Tijani, Abdullateef Afolabi Opeyemi, Kadai Alhaji Lawan, Shango Patience Emmanuel Jakheng, Reagan Muhwezi, Ambrose Shabohurira, Ibe Michael Usman, Ezera Agwu

    Published 2025-01-01
    “…Methods We searched Scopus, PubMed, and Embase databases, WHO AFRO, UNIPH registries, and Google Scholar search engine from inception to November 2024 using the algorithm “Self-Medication” AND “Uganda”. Twenty-two eligible studies were included while adhering to the preferred reporting items for systematic reviews and meta-analysis (PRISMA). …”
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  8. 11508

    Analisis Sentimen E-Learning X Terhadap Antarmuka Pengguna Menggunakan Kombinasi Multinomial Naive Bayes Dan Pendekatan Design Thinking by Baenil Huda, Irwan Sembiring, Iwan Setiawan, Danny Manongga, Hindriyanto Dwi Purnomo, Hendry Hendry, Ahmad Fauzi, April Lia Hananto, Tukino Tukino

    Published 2024-08-01
    “…Sentiment data from user reviews is classified using the Multinomial Naive Bayes algorithm, while Design Thinking is used to design more user-friendly interface solutions. …”
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  9. 11509

    A renewable integrated multi-area system for LFC incorporating electrical vehicle with SoC estimation by F. Lalhmangaihzuala, Subir Datta, Samuel Lalngaihawma, Taha Selim Ustun, Akhtar Kalam

    Published 2025-01-01
    “…The controller parameters undergo optimization by applying an innovative optimization method called the Mine Blasting algorithm, which utilizes an integral square error (ISE)-based fitness function. …”
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  10. 11510

    Task-Driven Computing Offloading and Resource Allocation Scheme for Maritime Autonomous Surface Ships Under Cloud–Shore–Ship Collaboration Framework by Supu Xiu, Ying Zhang, Hualong Chen, Yuanqiao Wen, Changshi Xiao

    Published 2024-12-01
    “…Compared with other analogy methods, the proposed algorithm can reduce the task processing delay by at least 15.7% and the task processing energy consumption by 15.4%.…”
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  11. 11511

    Multilayer Shielding Design for Intermediate Radioactive Waste Storage Drums: A Comparative Study between FLUKA and QAD-CGA by Wenqian Li, Xuegang Liu, Ming Li, Yilin Huang, Sheng Fang

    Published 2019-01-01
    “…In QAD-CGA calculation, it was found that different buildup factors can lead to the considerably different results. A weighted algorithm was proposed to correct QAD-CGA for multilayer shielding cases. …”
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  12. 11512

    An effective electrocardiogram segments denoising method combined with ensemble empirical mode decomposition, empirical mode decomposition, and wavelet packet by Yaru Yue, Chengdong Chen, Xiaoyuan Wu, Xiaoguang Zhou

    Published 2023-06-01
    “…Furthermore, the signal‐to‐noise ratio (SNR), mean square error (MSE), root mean square error (RMSE), and normalised cross correlation coefficient (R) are used to evaluate the noise reduction algorithm. The mean SNR, MSE, RMSE, and R are 5.7427, 0.0071, 0.0551, and 0.9050 in the China Physiological Signal Challenge 2018 dataset. …”
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  13. 11513

    Yield of TB screening in prisons in Tajikistan by S. Moe, M. Asozoda, A. Aung, Z. Dusmatova, F. Akintore, E. Nshimiyimana, A. Zavqibekov, N. Sitali, W.K. Mulanda, T. Cullip, A. Sinha

    Published 2024-08-01
    “…METHODS: A systematic TB screening was conducted between July 2022 and September 2023, following a locally adapted algorithm based on WHO recommendations. The screening yield was calculated as the proportion of confirmed TB cases, with categorical variables compared using a χ 2 test. …”
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  14. 11514

    Effects of on-Board Unit on Driving Behavior in Connected Vehicle Traffic Flow by Xin Chang, Haijian Li, Jian Rong, Zhufei Huang, Xiaoxuan Chen, Yunlong Zhang

    Published 2019-01-01
    “…Considering the car-following related indicators, the k-Means algorithm was used to categorize different car-following modes. …”
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  15. 11515

    Sparse Codebook Model of Local Structures for Retrieval of Focal Liver Lesions Using Multiphase Medical Images by Jian Wang, Xian-Hua Han, Yingying Xu, Lanfen Lin, Hongjie Hu, Chongwu Jin, Yen-Wei Chen

    Published 2017-01-01
    “…This study investigates an improved codebook model for the fined-grained medical image representation with the following three advantages: (1) instead of SIFT, we exploit the local patch (structure) as the local descriptor, which can retain all detailed information and is more suitable for the fine-grained medical image applications; (2) in order to more accurately approximate any local descriptor in coding procedure, the sparse coding method, instead of K-means algorithm, is employed for codebook learning and coded vector calculation; (3) we evaluate retrieval performance of focal liver lesions (FLL) using multiphase computed tomography (CT) scans, in which the proposed codebook model is separately learned for each phase. …”
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  16. 11516

    Development of a fixed-order $$H_{\infty }$$ controller for a robust P&O-MPPT strategy to control poly-crystalline solar PV energy systems by Moussa Sedraoui, Mohcene Bechouat, Ramazan Ayaz, Yahya Z. Alharthi, Abdelhalim Borni, Layachi Zaghba, Salah K. ElSayed, Yayehyirad Ayalew Awoke, Sherif S. M. Ghoneim

    Published 2025-01-01
    “…The proposed robust control strategy involves two stages: first, modifying the standard Perturb and Observe (P&O) algorithm to generate an optimal reference voltage using real-time measurements of temperature, solar irradiance, and wind speed. …”
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  17. 11517

    ARES: A Parallel Discrete Ordinates Transport Code for Radiation Shielding Applications and Reactor Physics Analysis by Yixue Chen, Bin Zhang, Liang Zhang, Junxiao Zheng, Ying Zheng, Cong Liu

    Published 2017-01-01
    “…ARES uses the Koch-Baker-Alcouffe parallel sweep algorithm to obtain high parallel efficiency. Verification and validation for the ARES transport code system have been done by lots of benchmarks. …”
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  18. 11518

    Olive Oil Total Phenolic Contents and Sensory Sensations Trends during Oven and Microwave Heating Processes and Their Discrimination Using an Electronic Tongue by Rafaela Prata, José A. Pereira, Nuno Rodrigues, Luís G. Dias, Ana C. A. Veloso, Susana Casal, António M. Peres

    Published 2018-01-01
    “…Finally, the potentiometric electronic tongue together with linear discriminant analysis-simulated annealing algorithm allowed satisfactory discrimination (sensitivities of 94±4%, for repeated K-fold cross-validation) of olive oils subjected to intense microwave heating (5–10 min, 160–205°C) from those processed under usual cooking conditions (oven heating during 15–60 min or microwave heating during 1.5–3 min, 72–165°C). …”
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  19. 11519

    Modeling and Identification of Electromagnetic Actuator for the Control of Rotating Machinery by T.S. Morais, J. Der Hagopian, V. Steffen Jr., J. Mahfoud

    Published 2013-01-01
    “…The identification is carried out by using a pseudo-random search algorithm. The model of the system is then assessed for different configurations. …”
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  20. 11520

    Hybrid GNSS time-series prediction method based on ensemble empirical mode decomposition with long short-term memory by Yu Zhou, Xiaoxing He, Shengdao Wang, Shunqiang Hu, Xiwen Sun, Jiahui Huang

    Published 2025-01-01
    “…To address the shortcomings of traditional GNSS time series prediction methods including insufficient feature selection, limited stability, and low predictive accuracy, this paper proposes a prediction model that combines the Ensemble Empirical Mode Decomposition (EEMD) with Long Short-Term Memory (LSTM) algorithm. The model utilizes the EEMD method to obtain reconstructed signals, which are then input as features into the LSTM model to predict the original time series. …”
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