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  1. 19841

    Ship Hull Steel Plate Deformation Modeling Based on Gaussian Process Regression by Zhiliang Zhang, Ryojun Ikeura, Soichiro Hayakawa, Zheng Wang

    Published 2024-12-01
    “…In this study, a steel plate model is established by the Gaussian regression method, which can predict the steel plate deformation according to the selected steel plate material, size and thickness, heating temperature, and heating position. …”
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    Article
  2. 19842

    Accelerating Wound Healing Through Deep Reinforcement Learning: A Data-Driven Approach to Optimal Treatment by Fan Lu, Ksenia Zlobina, Prabhat Baniya, Houpu Li, Nicholas Rondoni, Narges Asefifeyzabadi, Wan Shen Hee, Maryam Tebyani, Kaelan Schorger, Celeste Franco, Michelle Bagood, Mircea Teodorescu, Marco Rolandi, Rivkah Isseroff, Marcella Gomez

    Published 2025-07-01
    “…However, due to the complexities of human–drug interactions and a lack of predictive models, it is challenging to determine how one should adjust drug dosage to achieve the desired biological response. …”
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    Article
  3. 19843

    B-value Based Damage Source Localization and Classification Using Acoustic Emission (AE) Data for Concrete Cylinders Wrapped with Hybrid FRCM Composites by Nikhil Holsamudrkar, Sauvik Banerjee

    Published 2025-07-01
    “…Whereas, spatial b-value-based damage localization, implemented using a wrapped cylinder algorithm, accurately predicts severe damage locations. …”
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    Article
  4. 19844

    MSaD-Net: A Mix Self-Attention Networks for 3D Point Cloud Denoising by Xusheng Zhu, Shuai Ma, Daixin Chen, Li Zhou, Haibo Tang

    Published 2023-01-01
    “…The loss of information makes the algorithm ineffective when dealing with some complex cases. …”
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    Article
  5. 19845

    Hazard analysis of future surface displacements on active faults based on the recurrence interval of strong earthquakes by Zhou Qingyun, Liu Jingnan, Tian Peng, Luo Weidong, Bai Xianfu, Yang Yue, Zou Zhenyu

    Published 2025-02-01
    “…The results indicate that the predicted future surface displacements using our method are greater than the true displacements of seismic events. …”
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    Article
  6. 19846

    Machine learning based multi-parameter droplet optimisation model study by Ting Li, Likun Lu, Qingtao Zeng, Kexin Liao

    Published 2025-07-01
    “…Moreover, the Pareto solution of the 10 sets of predicted parameters output using the BO-GP method tends to be stable with fluctuations around 0.1, and it takes only 1 h to derive the control conditions for achieving high roundness, high yield and uniform size droplets.…”
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    Article
  7. 19847

    On Detection of Sybil Attack in Large-Scale VANETs Using Spider-Monkey Technique by Celestine Iwendi, Mueen Uddin, James A. Ansere, P. Nkurunziza, J. H. Anajemba, Ali Kashif Bashir

    Published 2018-01-01
    “…An artificial spider-monkey technique is used to examine the Sybil attacking strategies on VANETs to predict the number of vehicular collisions in a densely deployed challenge zone. …”
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    Article
  8. 19848

    Experimental Demonstration of 73 Gb/s QPSK and 150 Gb/s QAM-32 Wireless Data Links in the Sub-THz Band Through Frequency Selective Surface Filters by Walter Fuscaldo, Daniele Pirrone, Dimitrios C. Zografopoulos, Antonio Ferraro, Pascal Szriftgiser, Guillaume Ducournau, Romeo Beccherelli

    Published 2025-01-01
    “…Measurement results for the EVM are predicted through an innovative use of the k-means algorithm which is here suitably modified to deal with FSS-based communications. …”
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    Article
  9. 19849

    Introducing Iterative Model Calibration (IMC) v1.0: a generalizable framework for numerical model calibration with a CAESAR-Lisflood case study by C. Banerjee, K. Nguyen, C. Fookes, G. Hancock, T. Coulthard

    Published 2025-02-01
    “…The IMC process substantially improves the agreement between CL predictions and observed data (in the context of gully catchment landscape evolution), surpassing both uncalibrated and manual approaches.…”
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    Article
  10. 19850

    Rheological changes in melts and magmas induced by crystallization and strain rate by Vetere, Francesco, Iezzi, Gianluca, Perugini, Diego, Holtz, Francois

    Published 2022-05-01
    “…This highlights the fact that a general experimental protocol is needed in order to compare and model viscosity data to predict the dynamic rheological evolution for volcanic rocks.…”
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    Article
  11. 19851
  12. 19852

    Low-altitude Secure Communication Driven by Deep Reinforcement Learning: An Integrated Sensing and Communication Design by Zhiqiang WEI, Jiashuo ZHANG, Fan LIU, Zai YANG, Zesong FEI

    Published 2025-08-01
    “…Using the Deep Deterministic Policy Gradient (DDPG) algorithm, the optimal framework is learned over time, dynamically optimizing the communication UAV’s trajectory and resource allocation to maximize long-term sensing and secure communication performance. …”
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    Article
  13. 19853

    Non-contact lensless holographic reconstruction of diffractive intraocular lenses profiles by Rosa Vila-Andrés, Anabel Martínez-Espert, Walter D. Furlan, José J. Esteve-Taboada, Vicente Micó

    Published 2025-01-01
    “…Besides, a study evaluating the convergence and robustness of the proposed iterative phase-retrieval routine based on a modified classical Gerchberg-Saxton algorithm is performed. These results provide experimental validation of the proposed technique for accurately measuring the optical profiles of MIOLs.…”
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    Article
  14. 19854

    Cognitive heterogeneity in major depressive disorder: classification by IQ trajectory and multimodal neuroimaging profiles by Xiao Yang, Qimeng Liao, Min Wang, Yushun Yan, Huanhuan Fan, Jinxue Wei, Xiaohong Ma, Xiao-hong Ma

    Published 2025-08-01
    “…Premorbid IQ was estimated using a validated Wechsler Adult Intelligence Scale-based algorithm and compared to current IQ to classify patients. …”
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    Article
  15. 19855

    Local Entropy Optimization–Adaptive Demodulation Reassignment Transform for Advanced Analysis of Non-Stationary Mechanical Signals by Yuli Niu, Zhongchao Liang, Hengshan Wu, Jianxin Tan, Tianyang Wang, Fulei Chu

    Published 2025-06-01
    “…This method provides strong support for mechanical fault diagnosis, condition monitoring, and predictive maintenance, making it particularly suitable for real-time analysis of multi-component and cross-frequency signals.…”
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    Article
  16. 19856

    A Novel Underwater Wireless Optical Communication Optical Receiver Decision Unit Strategy Based on a Convolutional Neural Network by Intesar F. El Ramley, Nada M. Bedaiwi, Yas Al-Hadeethi, Abeer Z. Barasheed, Saleha Al-Zhrani, Mingguang Chen

    Published 2024-09-01
    “…The results demonstrate that our CNN-based BER estimation strategy accurately predicts the corresponding signal-to-noise ratio (SNR) and enables reliable BER estimation.…”
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    Article
  17. 19857

    A smart energy management system for surface unmanned vehicles for border surveillance missions by João F. P. Fernandes, Mário Assunção, Daniel Serrano, Pedro Afonso, Pedro Pinheiro, Hugo Marques, José Neves, Pedro Teodoro, Ricardo Póvoa, Rosa Marat-Mendes, P. J. Costa Branco

    Published 2025-07-01
    “…The developed SEMS is capable of planning a mission profile based on the predicted environmental conditions. To achieve this, one presents a new A-star algorithm with probabilistic behaviour to avoid local minimums and find alternative paths that would reduce the energy consumption in later hours of the mission. …”
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    Article
  18. 19858

    On differential privacy for federated learning in wireless systems with multiple base stations by Nima Tavangaran, Mingzhe Chen, Zhaohui Yang, José Mairton B. Da Silva Jr., H. Vincent Poor

    Published 2024-12-01
    “…To find the locally optimal solutions of this problem, we first propose an algorithm that schedules the resource blocks and users. …”
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    Article
  19. 19859

    A zenith wet delay improved model in China based on GPT3 and random forest by Shaoni Chen, Chunhua Jiang, Xiang Gao, Huizhong Zhu, Shuaimin Wang, Guangsheng Liu

    Published 2025-07-01
    “…To more accurately capture and predict complicated variations in ZWD, this paper developed the CRZWD model by a combination of the GPT3 model and random forests (RF) algorithm using 5-year atmospheric profiles from 70 radiosonde (RS) stations across China. …”
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    Article
  20. 19860