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  1. 2341
  2. 2342

    Real-Time Acoustic Holography for Target Pattern Acoustic Field Reconstruction With Iterative Unsupervised Learning by Minjie Ma, Xuewei Wang, Yang Li, Jia Wang

    Published 2025-01-01
    “…To reduce the dependence on labeled datasets, we propose a deep learning framework with an autoencoder structure for unsupervised training without relying on any a priori information. …”
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  3. 2343

    Influence of variation of electrical parameters values of RGB LEDs on the radiation uniformity of LED displays at minimal luminosity grade by V. P. Veleschuk, O. I. Vlasenko, Z. K. Vlasenko, V. V. Shynkarenko, Ya. Ya. Kudryk, P. O. Sai, V. V. Borshch

    Published 2017-06-01
    “…The variation of voltages (at current 10 mA) were 2.81 — 2.98 V for blue structures, and 1.9 — 2.0 V for red ones. …”
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  4. 2344

    Toward a Blood Sensor for an IoT Monitoring: A New Approach for the Design and Implementation of Blood Light Absorption Systems Based on the Finite Element Method and the Diffusion... by Mouna Dhmiri, Yassine Manai, Tahar Ezzedine

    Published 2025-03-01
    “…The results demonstrate significant wavelength-dependent variations in photon absorption by RBCs, providing insights into the optical behavior of blood in microvascular structures. …”
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  5. 2345

    Effect of halogen substitution on the electronic and optical behavior of C₁₆H₁₀X₂O₂(X = F, cl, Br and I) organic semiconductors by F. Benlakhdar, M. A. Ghebouli, M. Fatmi, B. Ghebouli, S. Alomairy, Faisal Katib Alanazi, A. Djemli, Talal M. Althagafi

    Published 2025-07-01
    “…Abstract In this study, a comprehensive analysis of the structural, electronic, and optical properties of C₁₆H₁₀X₂O₂ compounds (where X = F, Cl, Br, I) was conducted using first-principles calculations based on Density Functional Theory (DFT). …”
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  6. 2346

    Plasticity drives the trait variation of a foundation marsh species migrating into coastal forests with sea‐level rise by Ezra J. Kottler, Matthew B. Hamilton, Keryn B. Gedan

    Published 2024-08-01
    “…Mid‐Atlantic tidal marshes are structured by marsh grasses which act as foundation species, and these grasses exhibit trait variation across their distribution from established marsh interior to their inland migration front. …”
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  7. 2347

    EvSat3D: Satellite Pose Estimation and 3D Reconstruction With Event Camera by Shahid Shabeer Malik, Maryam Moshrefizadeh, Omar Tahri, Xiaoli Bai, Erik Blasch, Vasit Sagan, Hadi AliAkbarpour

    Published 2025-01-01
    “…The pipeline leverages event-to-frame (E2F) conversion algorithms to generate frames from asynchronous event data and applies Structure-from-Motion (SfM) techniques for accurate camera pose recovery and 3D scene reconstruction. …”
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  8. 2348
  9. 2349

    Multi-Disciplinary Investigations on the Best Flying Wing Configuration for Hybrid Unmanned Aerial Vehicles: A New Approach to Design by Janani Priyadharshini Veeraperumal Senthil Nathan, Martin Navamani Chellapandian, Vijayanandh Raja, Parvathy Rajendran, It Ee Lee, Naveen Kumar Kulandaiyappan, Beena Stanislaus Arputharaj, Subhav Singh, Deekshant Varshney

    Published 2025-07-01
    “…Following this, fluid structure interaction analysis has been performed for the best performing configurations, resulting in the determination of variations in the structural behavior with the imposition of advanced composite materials, namely, boron, Kevlar, glass and carbon fiber-reinforced polymers. …”
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  10. 2350

    Research on the GST gene family in Salix lindleyana reveals Trp162 and Pro202 as key amino acids controlling the release rate of GS-X by Nan Xu, Yu-Wen Wang, Chang Qu, Zhao-Qun Wu, Xiu-Xing Zhang, Shi-Yi Wang, Ye-Bo Yang, Jing Xue, Hai-Ling Yang

    Published 2025-08-01
    “…Three genes under positive selection from Clade a were chosen for 36 site-directed mutations, with Trp162 and Pro202 crucially affecting variations in GST enzyme activity. Crystal structure analysis of SliGSTU7 complexed with GSH revealed that the Trp162 residue was located at the bottom of the hydrophobic cavity. …”
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  11. 2351

    Towards Sustainable Energy Solutions: Evaluating the Impact of Floating PV Systems in Reducing Water Evaporation and Enhancing Energy Production in Northern Cyprus by Youssef Kassem, Hüseyin Gökçekuş, Rifat Gökçekuş

    Published 2024-10-01
    “…The results revealed that a floating structure (North orientation-tilt 6°) and bifacial panels produced the maximum performance for the proposed FPVSs at the selected sites. …”
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  12. 2352
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  14. 2354

    Nomenclatures industrielles en Grèce. Variations du champ du secteur secondaire et limites de comparabilité by Vincent Gouzi

    Published 2018-12-01
    “…Vincent Gouzi bend over industrial classifications in Greece, and, through their history and their structure, over the variations of the field of the secondary sector and the limits of comparability.The industrial classifications profoundly evolved in Greece as in France since the middle of the 19th century, profoundly influenced by the international institutions. …”
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  15. 2355
  16. 2356

    OXYGEN AND HYDROGEN ISOTOPE VARIATIONS IN A RECENTLY FORMED MASSIVE ICE AT THE MOUTH OF THE AKKANI RIVER, EASTERN CHUKOTKA by Yu. K. Vasil'chuk, Ju. N. Chizhova, A. A. Maslakov, N. A. Budantseva, A. C. Vasil'chuk

    Published 2018-04-01
    “…It is shown that the overlying layers of sediments are loams with a slab structure and vertical-layer medium and thin-chill cryogenic structure and ice sockets. …”
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  17. 2357

    Differentiated Impacts of Indoor and Outdoor Fitness Environments on Residents’ Activity Intensity: A Perspective on Homo Urbanicus by Wei Wei, Wenyi Xu, Mengyao Hong

    Published 2024-10-01
    “…An empirical investigation is conducted using structural equation modeling (SEM) with data from 286 valid questionnaires (<i>N</i> = 421). …”
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  18. 2358

    A semantic‐based method for analysing unknown malicious behaviours via hyper‐spherical variational auto‐encoders by Yi‐feng Wang, Yuan‐bo Guo, Chen Fang

    Published 2023-03-01
    “…To address this issue, this paper proposes a Generalised Zero‐Shot Learning (GZSL) method based on hyper‐spherical Variational Auto‐Encoders (VAEs). Compared to the VAEs, the authors’ proposed method is more robust and suitable for capturing data with richer and more nuanced structures. …”
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  19. 2359
  20. 2360

    A Unified Surrogate Framework for Data-Driven Reliability Analysis of Mechanical Systems from Low to Multi-DOF by Lun Shao, Alexandre Saidi, Abdel-Malek Zine, Mohamed Ichchou

    Published 2025-02-01
    “…The methodology integrates four main components: (i) probabilistic uncertainty modeling for mass, damping, and stiffness, (ii) Latin Hypercube Sampling (LHS) to efficiently explore parameter variations, (iii) Monte Carlo simulation (MCS) for estimating failure probabilities under stochastic excitations, and (iv) machine learning models, including Random Forest (RF), Gradient Boosting (GB), Extreme Gradient Boosting (XGBoost), and Neural Networks (NNs), to predict structural responses and failure probabilities. …”
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