Showing 1,401 - 1,420 results of 2,122 for search '(optimized OR optimize) loss function', query time: 0.18s Refine Results
  1. 1401

    Physics Informed Neural Networks for Modeling Large-Scale Wind Driven Ocean Circulation by Boohyun An, Mohammad Z. Shanti, Chan Yeob Yeun, Ernesto Damiani, Sungmun Lee, Tae-Yeon Kim

    Published 2025-01-01
    “…The architecture of the neural network was systematically optimized through hyperparameter tuning, including the selection of optimizers, activation functions, network configurations, and learning rate schedulers to ensure stable convergence and minimize fluctuations in training loss. …”
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  2. 1402

    Power Allocation Technology of Long Time Multi-Star Hopping Beam for LEO Satellite by Ziyi LIU, Xiaoning ZHANG, Zesong FEI

    Published 2023-12-01
    “…LEO satellites have superior development prospects due to their low cost, low latency and small path loss, and are widely used in IoT, B5G and other fields.For the LEO satellite and its coverage area will be in a moving state, a convex optimization-based long-time multi-star beam hopping power allocation algorithm was proposed to maximize the system capacity.Focused on the multi-star hopping beam scenario over a period of time, a system model was developed based on the long-time co-orbital multi-star hopping beam scenario and the long-time heterodyne multi-star hopping beam scenario respectively.The resource allocation algorithm was designed for the two long-time multi-star hopping beams with the weighted objective function as the optimization objective, considered the influence factors of inter-star interference, load balancing and inter-star resource allocation priority, a long-time skipping beam resource allocation algorithm based on convex optimization was proposed.The simulation results showed that the proposed scheme could improve the resource utilization of the system compared with the conventional schemes.…”
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  3. 1403

    Clinical outcomes of kidney transplantation from expanded-criteria donors and KDPI>85% kidneys in deceased Chinese donors by Kankan Shui, Hedong Zhang, Tengfang Li, Jianfei Hou, Gongbin Lan, Fenghua Peng, Shaojie Yu, Xubiao Xie, Helong Dai, Longkai Peng

    Published 2025-07-01
    “…T tests, chi-square tests, and Mann-Whitney U tests were used to compare complications and renal function following kidney transplantation. Additionally, the log-rank test was used to assess differences in survival rates, whereas Cox regression analysis was conducted to identify risk factors associated with graft loss. …”
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  4. 1404

    Physics-Informed Neural Network-Based Input Shaping for Vibration Suppression of Flexible Single-Link Robots by Tingfeng Li, Tengfei Xiao

    Published 2025-01-01
    “…Through a two-phase training process of a neural network based on a loss function that follows both the physical model constraints and the vibration modal conditions, we identify optimal input-shaping parameters to minimize residual vibration. …”
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  5. 1405

    Staged Surgery with Autologous Fibula Grafting for Humeral Non- union - A Case Report by Stephen Kamau Mwaura, Mordicai Atinga

    Published 2025-01-01
    “…It highlights a combination of various accessible strategies that encompass biological stimulation and mechanical stabilization toward timely bone union with minimal morbidity and return to optimal function. The use of a free fibular intramedullary strut autograft with a locking compression plate (LCP) has been infrequently described in the literature and this report adds to the data bank of this treatment strategy.…”
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  6. 1406

    Transformer-based ECG classification for early detection of cardiac arrhythmias by Sunnia Ikram, Amna Ikram, Harvinder Singh, Malik Daler Ali Awan, Sajid Naveed, Isabel De la Torre Díez, Henry Fabian Gongora, Thania Candelaria Chio Montero

    Published 2025-08-01
    “…The refined dataset is then input to a Transformer- based model trained with optimized loss functions, regularization strategies, and hyperparameter tuning. …”
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  7. 1407

    Long-Term Irrigation Deficits Impair Microbial Diversity and Soil Quality in Arid Maize Fields by Dongdong Zhong, Renhua Sun, Zhen Huo, Jian Chen, Shengtianzi Dong, Hegan Dong

    Published 2025-05-01
    “…Water scarcity in arid regions poses a severe threat to agricultural sustainability, necessitating optimized irrigation strategies. This study investigates the cumulative impacts of long-term irrigation deficits on soil quality, microbial diversity, and maize yield in the arid maize fields of Xinjiang, China, where consistent irrigation patterns have been maintained over multiple years. …”
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  8. 1408

    The role of the cast index in predicting clinical outcomes in elderly patients with distal radius fractures by Cumhur Deni̇z Davulcu, Muhammed Yusuf Afacan

    Published 2025-03-01
    “…These findings support incorporating the cast index into routine assessment to optimize fracture management in this vulnerable population. …”
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  9. 1409

    Ultra-wideband digital channel modeling based on generative adversarial network by ZHUGE Bin, WANG Zhengxian, WANG Ying, CAI Xiaodan, DONG Ligang, ZHANG Zitian, JIANG Xian, LI Hua, XU Yueqian

    Published 2024-11-01
    “…In ultra-wideband communication technology, high-quality channel impulse response data is crucial for system design and performance optimization. A least squares generative adversarial network (LSGAN) and an improved loss function were introduced, which significantly enhanced the ability to capture and reproduce channel data. …”
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  10. 1410

    Osseointegrated Implants and Osseoperception - A Review by Kumari Deepika, Atul Bhatnagar, Rekha Gupta

    Published 2022-07-01
    “… There are many studies suggest that a peripheral feedback pathway can be restored with osseointegrated implants even after tooth loss. This implant mediated sensory-motor control, known as osseoperception may have important clinical implications in improving masticatory function with implant supported prosthesis. …”
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  11. 1411

    Chronic kidney disease for the primary care clinician by M. R. Davids, M. Y. Chothia

    Published 2019-10-01
    “…In patients with established CKD, renoprotective measures are indicated to arrest or slow down the loss of renal function. These patients are at high risk of cardiovascular disease and close attention should be paid to optimally managing their risk factors.…”
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  12. 1412

    GLP-1 and Its Role in Glycogen Production: A Narrative Review by Joseph Lotosky, Xavier Jean, Anungoo Altankhuyag, Saqib Khan, Ashley Bernotas, Alireza Sharafshah, Kenneth Blum, Alan Posner, Panayotis K. Thanos

    Published 2025-06-01
    “…Skeletal muscle benefits from GLP-1 through increased glucose uptake, AMPK activation, and mitochondrial function, facilitating glycogen storage. In adipose tissue, GLP-1 stimulates brown adipose tissue (BAT) thermogenesis and energy expenditure, contributing to weight loss. …”
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  13. 1413

    Classical solution for compressible Navier-Stokes-Korteweg equations with zero sound speed by Liu Mengqian, Wu Zhigang

    Published 2025-04-01
    “…In particular, when the base sound speed P′(ρ¯)=0\sqrt{P^{\prime} \left(\bar{\rho })}=0, we first give the global existence and optimal L2{L}^{2}-decay rate of the smooth solution, where the optimality means that the decay rate of the solution is the same as that for the corresponding linearized system, and there is no decay loss for the highest-order spatial derivatives of the solution. …”
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  14. 1414

    THz-Enabled UAV Communications Under Pointing Errors: Tractable Statistical Channel Modeling and Security Analysis by Mohammad Javad Saber, Mazen Hasna, Osamah S. Badarneh

    Published 2025-01-01
    “…The small-scale fading is modeled using the <inline-formula><tex-math notation="LaTeX">$\alpha$</tex-math></inline-formula>&#x2013;<inline-formula><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula> distribution, which accurately represents various fading environments. Using the Meijer G-function, we derive closed-form expressions for key statistical functions, including the probability density function (PDF) and cumulative distribution function (CDF) of the channel gain. …”
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  15. 1415

    Surface-Related Multiple Suppression Based on Field-Parameter-Guided Semi-Supervised Learning for Marine Data by Jiao Qi, Siyuan Cao, Zhiyong Wang, Yankai Xu, Qiqi Zhang

    Published 2025-04-01
    “…The USNM is essentially an optimization operator that refines the underlying nonlinear mapping relationship between primaries and full wavefield data using the local wavefield feature loss function, thereby obtaining more accurate prediction results with respect to primaries. …”
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  16. 1416

    YOLO-SRSA: An Improved YOLOv7 Network for the Abnormal Detection of Power Equipment by Wan Zou, Yiping Jiang, Wenlong Liao, Songhai Fan, Yueping Yang, Jin Hou, Hao Tang

    Published 2025-05-01
    “…In the network structure improvements, first, the ACmix module is introduced to reconstruct the SPPCSPC network, effectively suppressing background noise and irrelevant feature interference to enhance feature extraction capability; second, the BiFormer module is integrated into the efficient aggregation network to strengthen focus on critical features and improve the flexible recognition of multi-scale feature images; finally, the original loss function is replaced with the MPDIoU function, optimizing detection accuracy through a comprehensive bounding box evaluation strategy. …”
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  17. 1417

    RE-YOLO: An apple picking detection algorithm fusing receptive-field attention convolution and efficient multi-scale attention. by Jinxue Sui, Li Liu, Zuoxun Wang, Li Yang

    Published 2025-01-01
    “…This module makes the spatial semantic features uniformly distributed to each feature group through partial channel reconstruction and feature grouping, which emphasizes the interaction of spatial channels, improves the ability to detect subtle differences, can effectively discriminate the apple occlusion, and reduces the computational cost. Finally, the loss function of YOLOv8 is improved using the Wise Intersection over Union (WIOU) function, which not only simplifies the gradient gain assignment mechanism and improves the ability to detect targets of different sizes, but also accelerates the model optimization. …”
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  18. 1418

    The interplay between nutrigenomics and low-carbohydrate ketogenic diets in personalized healthcare by Yousef M. Almoghrabi, Yousef M. Almoghrabi, Basmah M. Eldakhakhny, Basmah M. Eldakhakhny, Abdulhadi I. Bima, Abdulhadi I. Bima, Hussein Sakr, Hussein Sakr, Ghada M. A. Ajabnoor, Ghada M. A. Ajabnoor, Hoda M. Gad, Hoda M. Gad, Hoda M. Gad, Fatma Azzahraa H. Mohammad, Salma A. Elsamanoudy, Akram Z. Awan, Ayman Z. Elsamanoudy, Ayman Z. Elsamanoudy, Ayman Z. Elsamanoudy

    Published 2025-06-01
    “…The field of nutrigenomics explores the interaction between diet and gene expression, examining how nutrients function as signaling molecules that influence cellular processes, protein synthesis, and metabolite production. …”
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  19. 1419

    Effectiveness of laparoendoscopic surgical treatment with single-site / single-incision laparoscopic surgery method in gynecological practice by Ilaha Ariz Guliyeva

    Published 2025-04-01
    “…There is a need to optimize the application and functions of this method in clinical practice.…”
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  20. 1420

    Comparison of dCas9-activator complexes for the activation of PDX1 and NGN3 pancreatic genes using the CRISPR system by Ersin Akıncı, Mehmet Fatih Cengiz, Fatma Akçakale Kaba, Adem Kaba

    Published 2025-04-01
    “…Our findings demonstrate that CRISPR/dCas9-mediated gene activation can effectively induce β-cell differentiation, offering a promising approach for type 1 diabetes therapy, where β-cell loss is a major challenge. Future studies should explore the long-term functionality and stability of these β-like cells in preclinical models to further assess their therapeutic potential. …”
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