Showing 16,101 - 16,120 results of 16,436 for search 'Model performance features', query time: 0.25s Refine Results
  1. 16101

    L-ENet: An Ultralightweight SAR Image Detection Network by Yutong Wang, Min Miao, Shiliang Zhu

    Published 2024-01-01
    “…Hence, L-ENet offers an efficient and viable solution for maritime target detection, showcasing commendable detection performance in comparison with advanced models.…”
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  2. 16102

    Innovations in Wave Energy: A Case Study of TALOS-WEC’s Multi-Axis Technology by Fatemeh Nasr Esfahani, Wanan Sheng, Xiandong Ma, Carrie M. Hall, George Aggidis

    Published 2025-01-01
    “…Computational methodologies leverage hybrid frequency-time domain models and advanced panel codes (WAMIT, HAMS, and NEMOH) to address non-linearities in the PTO system, ensuring precise simulations and optimal performance. …”
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  3. 16103

    Simulation of lead free heterojunction n-FASnI3/p-FrGeCl3 based Perovskite solar cell with ZnMgO as Electron transport layer and GO as Hole transport layer using SCAPS-1D by Dhivya Bharathi C, P. Sriramalakshmi

    Published 2025-09-01
    “…In this work, a hybrid organic-inorganic perovskite solar cells (PSCs) are studied through SCAPS-1D modeling. The modeling work focuses on heterojunction solar cell featuring dual absorber (n-FASnI3/p-FrGeCl3) layers to enhance the power conversion efficiency (PCE) of charge carrier separation and charge transport. …”
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  4. 16104

    Numerical Solutions and Stability Analysis of White Dwarfs with a Generalized Anisotropic Factor by Ayazhan Orazymbet, Aray Muratkhan, Daniya Utepova, Nurzada Beissen, Gulzada Baimbetova, Saken Toktarbay

    Published 2025-06-01
    “…Additionally, we calculated the gravitational redshift at the stellar surface and found that it varies with anisotropy, ranging from <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>z</mi><mi>s</mi></msub><mo>∼</mo><mn>3.15</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>3</mn></mrow></msup></mrow></semantics></math></inline-formula> in isotropic cases to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>z</mi><mi>s</mi></msub><mo>∼</mo><mn>0.2</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>3</mn></mrow></msup></mrow></semantics></math></inline-formula> in highly anisotropic models. These results link anisotropy to potentially observable features. …”
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  5. 16105

    SOX‐5 Transcription Factor: a Novel Psoriatic Autoantigen Preferentially Found in Women by Ana‐Maria Orbai, David Fiorentino, Jamie Perin, Erika Darrah, Qingyuan Yang, Laura Gutierrez‐Alamillo, Clifton O. Bingham, Michelle Petri, Antony Rosen, Livia Casciola‐Rosen

    Published 2024-12-01
    “…Longitudinal data were analyzed using linear mixed‐effects models with patient‐specific intercept to ascertain associations. …”
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  6. 16106

    Transcriptomic analysis identifies enrichment of cAMP/PKA/CREB signaling in invasive lobular breast cancer by Susrutha Puthanmadhom Narayanan, Abdalla M. Wedn, Osama Shiraz Shah, Jian Chen, Daniel D. Brown, Priscilla F. McAuliffe, Steffi Oesterreich, Adrian V. Lee

    Published 2024-10-01
    “…This in silico finding was validated in cell line and organoid models. Loss of CDH1 was not sufficient to mediate this phenotype. …”
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  7. 16107

    Prostate-specific antigen and prostate-specific antigen kinetics in predicting 18F-sodium fluoride positron emission tomography-computed tomography positivity forfirst bone metasta... by James Yoon, Leslie Ballas, Bhushan Desai, Hossein Jadvar

    Published 2017-07-01
    “…ROC analysis with combined models gave AUC values of 0.723 for a combination of PSA and PSADT, 0.689 for a combination of PSA and PSAV, and 0.718 for grouping of PSA, PSADT, and PSAV. …”
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  8. 16108

    Measuring the Impact of Limb Asymmetry on Movement Irregularity and Complexity Changes During an Incremental Step Test in Para-Swimmers Using Inertial Measurement Units by Matthew Slopecki, Julien Clément, Mathieu Charbonneau, Julie N. Côté

    Published 2025-05-01
    “…They were instrumented with a sacrum-worn inertial measurement unit and performed an in-water, fatiguing, freestyle aerobic test at incrementally faster paces. …”
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  9. 16109

    Integrating expert knowledge with machine learning for AI-based stroke identifications and treatment systems by Taddesse kassu Yimenu, Abebe Belay Adege, Sofonias Yitagesu Techan

    Published 2025-04-01
    “…Additionally, we applied to Shapley Additive Explanations to demonstrate the feasibility of feature selection in AI model development. Machine learning models, including Decision Tree, Random Forest, and Support Vector Machine, were evaluated, and Random Forest classifier achieved the highest accuracy of 99.4% using k-fold cross-validation technique. …”
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  10. 16110

    A Continuous Authentication Approach for Mobile Crowdsourcing Based on Federated Learning by Mohamad Wazzeh, Hakima Ould-Slimane, Chamseddine Talhi, Azzam Mourad, Mohsen Guizani

    Published 2024-01-01
    “…We also discuss the non-Independently and Identically Distributed issue in Federated Learning and employ transfer learning techniques based on feature extraction to enhance the performance of the authentication models. …”
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  11. 16111

    Neural Implicit Monocular Visual SLAM for 3D Reconstruction in Planetary Environments by C. Liu, R. Huang, R. Huang, H. Xie, H. Xie, T. Tao, Y. Feng, Y. Feng, X. Tong, X. Tong

    Published 2025-07-01
    “…Existing visual SLAM methods often exhibit low accuracy in pose estimation and reconstruction due to poor feature extraction and mismatched correspondences. …”
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  12. 16112

    Thermal Methanol Synthesis from CO2 Using Cu/ZnO Catalysts: Insights from First‐Principles Calculations by Cong Xi, Yixin Nie, Hongjuan Wang, Cunku Dong, Jiuhui Han, Xi‐Wen Du

    Published 2025-01-01
    “…Recent advances have highlighted the critical role of defects, such as ZnCu steps and stacking faults on Cu surfaces, in enhancing catalyst performance. Here this concept is explored through first‐principles surface simulations of six models, featuring diverse Cu–Zn combinations and specific coordination environments under realistic conditions. …”
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  13. 16113

    A Transfer Learning Approach for Diverse Motion Augmentation Under Data Scarcity by Junwon Yoon, Jeon-Seong Kang, Ha-Yoon Song, Beom-Joon Park, Kwang-Woo Jeon, Hyun-Joon Chung, Jang-Sik Park

    Published 2025-08-01
    “…To our knowledge, no prior study has investigated few-shot generative models for motion-capture data that address both quality and diversity. …”
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  14. 16114

    A General Framework for CFAR Detection in PolSAR Imagery Based on Quadratic Statistics by Ziyuan Yang, Liguo Liu, Xiaoyang Hou, Yinghui Quan, Xian Zhang, Tao Liu

    Published 2025-01-01
    “…However, in the context of CFAR detection in PolSAR imagery, traditional intensity-based statistical modeling approaches, such as gamma distribution, generalized gamma distribution, and log-normal distribution, become inadequate when handling feature maps generated by nonpositive definite transformation matrices. …”
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  15. 16115

    Enhancing student understanding of genetic cloning through a 3D-printed active learning activity and flipped classroom curriculum by Katriana A. Popichak, Kathryn Krupinsky, Delaney Worthington, Samuel Fredricks, Leila Takahashi-Ruiz, Mary Howerton, Marcela Henao-Tamayo, Erica L. Suchman, Jennifer L. McLean

    Published 2025-04-01
    “…Here, we incorporate a hands-on activity featuring 3D-printed models of DNA plasmids and gene inserts within a scaffolded cloning curriculum, designed to enhance student learning and engagement. …”
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  16. 16116

    Long-term social memory of mate copying in Drosophila melanogaster is localized in mushroom bodies by Sabine Nöbel, Etienne Danchin, Guillaume Isabel

    Published 2025-02-01
    “…We previously used the Drosophila animal model, which is known to perform mate copying through observational learning of the mate choice of conspecifics to show that the expression of the rutabaga gene, a calcium/calmodulin-dependent adenylyl cyclase (AC-Rut+) that acts as a coincidence detector enabling associative learning, is necessary and sufficient in the γ-Kenyon cells (KCs) of the mushroom bodies (MBs). …”
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  17. 16117

    Results of Experimental Simulation of the Development of Gas Condensate Deposits of the Coastal Field by E. I. Inyakina, R. K. Dobrolyubova, K. O. Tomskiy, V. V. Inyakin, M. I. Eliseeva

    Published 2022-08-01
    “…Experimental development modeling is performed to predict condensate losses in the reservoir under initial reservoir conditions and during field operation. …”
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  18. 16118

    Toward Personal Identification Using Multi-Angle-Captured Ear Images: A Feasibility Study by Ryuhi Fukuda, Yuto Yokoyanagi, Chotirose Prathom, Yoshifumi Okada

    Published 2025-03-01
    “…We obtained high identification accuracies, exceeding 0.980 for all the evaluation metrics, confirming the feasibility of personal identification using multi-angle-captured ear images. Further, we performed Gradient-weighted Class Activation Mapping to visualize the feature points that contribute to the identification process, identifying the helix region of the ear as a key feature point. …”
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  19. 16119

    Association between serum lactate and mortality in critically ill ischemic stroke patients based on MIMIC-IV data by Zongren Zhao, Yu Liu, Huanhuan Ji

    Published 2025-07-01
    “…For assessing the link between serum lactate concentrations and the risk of death, survival studies were performed utilizing Kaplan–Meier curves and Cox proportional-hazards regression models. …”
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    Article
  20. 16120

    Explainable AI for Spectral Analysis of Electromagnetic Fields by Dimitris Kalatzis, Agapi Ploussi, Ellas Spyratou, Theodor Panagiotakopoulos, Efstathios P. Efstathopoulos, Yiannis Kiouvrekis

    Published 2025-01-01
    “…The results show that ensemble tree-based methods, particularly Random Forests and LightGBM, consistently outperformed simpler models in accuracy and interpretability. The integration of SHAP enabled transparent feature attribution, revealing distinctive exposure patterns linked to urban topology, population density, and built environment metrics. …”
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