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  1. 1681

    ViT–KAN Synergistic Fusion: A Novel Framework for Parameter- Efficient Multi-Band PolSAR Land Cover Classification by Songli Han, Dawei Ren, Fan Gao, Jian Yang, Hui Ma

    Published 2025-04-01
    “…The proposed method significantly enhances the model’s generalization capability across different band combinations. The experimental results on the quad-band (P/L/C/X) Hainan PolSAR dataset, acquired by the Aerial Remote Sensing System of the Chinese Academy of Sciences, show that the proposed framework achieves an overall accuracy of 96.24%, outperforming conventional methods in both accuracy and parameter efficiency. …”
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  2. 1682
  3. 1683

    Sex-specific and sex hormonal-related differences in melanoma microenvironment by Selene Attorre, Filippo Ugolini, Daniele Lana, Maria Grazia Giovannini, Daniela Massi

    Published 2024-12-01
    “…Sex hormones play a role in determining the nature of melanoma tumor microenvironment, as estrogens and androgens have been shown to modulate immune responses, contributing to the differences observed between males and females. The generally more reactive and efficient female immune system may contribute to better antitumor responses. …”
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  4. 1684

    Optimizing Correction Factors on Color Differences for Automotive Painting Services by Emilia Corina Corbu, Anne-Marie Nitescu, Eduard Edelhauser

    Published 2024-12-01
    “…Companies working in this industry, especially in specialized painting services, must perform work of impeccable quality in the shortest possible time in order to be efficient. Color differences that appear in different areas of the car result from the use of different formulas for obtaining color. …”
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  5. 1685

    A Study of Deep Learning Models for Audio Classification of Infant Crying in a Baby Monitoring System by Denisa Maria Herlea, Bogdan Iancu, Eugen-Richard Ardelean

    Published 2025-05-01
    “…This study investigates the ability of well-known deep learning models, such as ResNet and EfficientNet, to perform audio-based infant cry detection. …”
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  6. 1686

    TLDDM: An Enhanced Tea Leaf Pest and Disease Detection Model Based on YOLOv8 by Jun Song, Youcheng Zhang, Shuo Lin, Huijie Han, Xinjian Yu

    Published 2025-03-01
    “…Finally, a novel detection head structure, termed EfficientPHead, is proposed to maintain detection performance while improving computational efficiency and reducing parameters which leads to inference speed acceleration. …”
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  7. 1687

    Petroelastic modeling of carbonate reservoirs in the view of different void types by Ya. S. Grigoryan, I. O. Bayuk

    Published 2022-06-01
    “…Each type of voids can have a different effect on rock elastic properties, which, in turn, allow the characteristics of voids to be estimated by assessing the velocity of elastic waves. …”
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  8. 1688

    Performance of concrete containing different ratios of metakaolin and magnetized water by Mostafa M. Keshta, Mohamed M. Yousry Elshikh, Ahmed M. Elkerany

    Published 2025-01-01
    “…This research investigates the effects of using magnetized water (MW), prepared in a magnetic field of 1.4 tesla, on the workability and compressive strength of concrete containing MK in different ratios. MK was incorporated at 5 %, 10 %, and 20 % as either a partial replacement or additive to cement by weight. …”
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  9. 1689

    Cellulase production and morphology of “Trichoderma reesei” in different experimental conditions by Rahela CARPA, Alin CÂNDEA, Alexei REMIZOVSCHI, Lucian BARBU-TUDORAN, Maria Cornelia MAIOR

    Published 2018-12-01
    “…We used a promising off-corn growth media that was efficient and the cellulases output due to substrate action was calculated. …”
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  10. 1690

    Comparative Analysis of Different Graphite Concentrations in Micro-PMEDM Drilling by Chiara Ravasio, Giuseppe Pellegrini, Giuseppe Rosace, Valentina Trovato

    Published 2024-12-01
    “…However, a limitation of the technology is represented by its low material removal rate compared to other material removal technologies. Therefore, different strategies are under investigation to make the process faster. …”
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  11. 1691

    Seismic Evaluation of Steel Plate Shear Walls in Different Configurations by Seyed Mohmmad Ali Abbaspoor Haghighat, Ali Alibazi, Reza Moradifard, Lotfi Guizani, Munzer Hassan

    Published 2025-11-01
    “…Steel plate shear walls (SPSWs) are a cost-efficient system to resist seismic lateral loads. Post-buckling strength, tension field action, and high energy absorption capacity are among the advantages of SPSWs. …”
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  12. 1692

    Lightweight and Low-Parametric Network for Hardware Inference of Obstructive Sleep Apnea by Tanmoy Paul, Omiya Hassan, Christina S. McCrae, Syed Kamrul Islam, Abu Saleh Mohammad Mosa

    Published 2024-11-01
    “…Using each type of convolution, three different models were developed using ECG, SpO<sub>2</sub>, and model fusion. …”
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  13. 1693

    Automated and Enhanced Classification of Persea Americana Using Optimized Deep Convolutional Neural Networks With Improved Training Strategies for Agro-Industrial Settings by Oscar Vera, Jose Cruz, Severo Huaquipaco, Wilson Mamani, Victor Yana-Mamani, Saul Huaquipaco

    Published 2024-01-01
    “…The agro-industrial sector faces significant challenges in product classification, which directly affect product quality, production efficiency and food safety. This paper proposes a machine learning model that correctly identifies the different attributes of Persea americana. …”
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  14. 1694

    Energy-Efficient on-Board Radio Resource Management for Satellite Communications via Neuromorphic Computing by Flor Ortiz, Nicolas Skatchkovsky, Eva Lagunas, Wallace A. Martins, Geoffrey Eappen, Saed Daoud, Osvaldo Simeone, Bipin Rajendran, Symeon Chatzinotas

    Published 2024-01-01
    “…To benchmark the performance of the proposed model, we implement conventional Convolutional Neural Networks (CNN) on a Xilinx Versal VCK5000, and provide a detailed comparison of accuracy, precision, recall, and energy efficiency for different traffic demands. Most notably, for relevant workloads, Spiking Neural Networks (SNNs) implemented on Loihi 2 yield higher accuracy, while reducing power consumption by more than <inline-formula> <tex-math notation="LaTeX">$100\times $ </tex-math></inline-formula> as compared to the CNN-based reference platform. …”
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  15. 1695

    Impacts of different organic amendments on soil degradation and phytotoxicity of metribuzin by Mohammad Mehdizadeh, Ebrahim Izadi-Darbandi, Mohammad Taghi Naseri Pour Yazdi, Mehdi Rastgoo, Bizhan Malaekeh-Nikouei, Hooriyeh Nassirli

    Published 2024-01-01
    “…In bioassay study, the phytotoxic effects of different concentrations of metribuzin (0, 0.01, 0.05, 0.1, 0.2, 0.4, 0.8 and 1 mg kgâ1 soil) on oilseed rape (Brassica napus L.) were evaluated. …”
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  16. 1696

    Pollen vigor of Schima superba under different storage conditions by Jingxin YE, Huagong NING, Zizheng ZHONG, Fangyou ZHANG, Qian HE, Tianyi LIU

    Published 2025-07-01
    “…MethodIn this study, 9-year-old S. superba individual plants were used as the research object, and pollen collection was carried out at different flowering stages. The changes of pollen vigor under different collection time, pollen vigor detection methods and different storage conditions were analyzed. …”
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  17. 1697

    Assessment of using transfer learning with different classifiers in hypodontia diagnosis by Tansel Uyar, Didem Sakaryalı Uyar

    Published 2025-01-01
    “…Pretrained convolutional neural network models (AlexNet, DarkNet-19, DarkNet-53, DenseNet-201, EfficientNet, GoogLeNet, InceptionV3, IncResV2, MobileNetV2, NasNet-Mobile, Places365, ResNet-18, ResNet-50, ResNet-101, ShuffleNet, SqueezeNet, VGG-16, VGG-19, and Xception) were used for training with the fine-tuning method and different machine learning classifiers (decision trees, discriminant analysis, logistic regression, naive Bayes, support vector machines, nearest neighbor, ensemble method, and artificial neural network). …”
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  18. 1698

    The Effect of Selenium on Rice Quality Under Different Nitrogen Levels by Yuqi Liu, Bingchun Yan, Ya Liu, Yuzhuo Liu, Liqiang Chen, Hongfang Jiang, Yingying Feng, Jiping Gao, Wenzhong Zhang

    Published 2025-06-01
    “…The results indicated that the effects of Se on rice processing quality differ under different N levels. Selenium adversely affected the processing quality under the CN level, whereas it demonstrated some improvement at the LN level. …”
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