Showing 341 - 360 results of 936 for search 'point loss function', query time: 0.12s Refine Results
  1. 341

    Foxp1 and lhx1 coordinate motor neuron migration with axon trajectory choice by gating Reelin signalling. by Elena Palmesino, David L Rousso, Tzu-Jen Kao, Avihu Klar, Ed Laufer, Osamu Uemura, Hitoshi Okamoto, Bennett G Novitch, Artur Kania

    Published 2010-08-01
    “…We show that the localisation of LMC neuron cell bodies can be dissociated from axon trajectory choice by either the loss or gain of function of the Reelin signalling pathway. …”
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  2. 342

    ADWNet: An improved detector based on YOLOv8 for application in adverse weather for autonomous driving by Xinyun Feng, Tao Peng, Ningguo Qiao, Haitao Li, Qiang Chen, Rui Zhang, Tingting Duan, JinFeng Gong

    Published 2024-10-01
    “…Simultaneously, to expedite the model's convergence, the bounding box's loss function has been optimized to SIoU loss. To elucidate the advantages of ADWNet in the context of adverse weather conditions, ablation studies and comparative experiments were conducted. …”
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  3. 343

    SFDA-MEF: An Unsupervised Spacecraft Feature Deformable Alignment Network for Multi-Exposure Image Fusion by Qianwen Xiong, Xiaoyuan Ren, Huanyu Yin, Libing Jiang, Canyu Wang, Zhuang Wang

    Published 2025-01-01
    “…We also design a feature point extraction loss function to render our output more conducive to subsequent IOS tasks. …”
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  4. 344

    Dual role for Headcase in hemocyte progenitor fate determination in Drosophila melanogaster. by Bayan Kharrat, Erika Gábor, Nikolett Virág, Rita Sinka, Ferenc Jankovics, Ildikó Kristó, Péter Vilmos, Gábor Csordás, Viktor Honti

    Published 2024-10-01
    “…Although overactivation of insulin/mTOR signaling normally leads to an increase in the size of the hematopoietic niche, this effect is concealed by cell death caused by hdc loss-of-function. Moreover, we describe here that hdc silencing in progenitors causes cell-autonomous ROS elevation and JNK pathway activation, resulting in decreased MZ size and differentiation of lamellocytes. …”
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  5. 345

    A Global-Speed-Region Voltage Angle Control Method Considering Dead-Time Effect Compensation for Permanent Magnet Synchronous Motor Drives by Xiongwei Jiang, Cheng Lin, Jilei Xing, Yao Xu, Yu Tian

    Published 2024-12-01
    “…Meanwhile, the deviation between the actual current operating point and the optimal one is caused by the dead-time effect in the traditional VAC method, causing more energy loss. …”
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  6. 346

    KPMapNet: Keypoint Representation Learning for Online Vectorized High-Definition Map Construction by Bicheng Jin, Wenyu Hao, Wenzhao Qiu, Shanmin Pang

    Published 2025-03-01
    “…Moreover, a novel point-line matching loss function is introduced to further refine the training process. …”
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  7. 347

    Evaluation of Thyroid Volume Normalisation in Female Patients with Hashimoto Thyroiditis: A 12-Month Comparative Study of Combined Supplements and Photobiomodulation Versus Supplem... by Venera Berisha-Muharremi, Bernard Tahirbegolli, Ruth Phypers, Reem Hanna

    Published 2025-06-01
    “…The PBM parameters were as follows: 820 nm wavelength, 200 mW power, continuous mode, 20 s per point at 8 points (32 J/cm<sup>2</sup> per point), twice weekly for three weeks. …”
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  8. 348

    Multi-distribution noise quantisation: an extreme compression scheme for transformer according to parameter distribution by Zaiyang Yu, Shuang Li, Linjun Sun, Liang Liu, Wang Haining

    Published 2022-12-01
    “…Model quantisation is a technique that turns floating-point computing into low-specific-point computing, which can effectively reduce model computation strength, parameter size, and memory consumption but often bring a considerable loss of accuracy. …”
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  9. 349

    Optimized Marine Target Detection in Remote Sensing Images with Attention Mechanism and Multi-Scale Feature Fusion by Xiantao Jiang, Tianyi Liu, Tian Song, Qi Cen

    Published 2025-04-01
    “…The proposed YOLOv5-ASC integrates three core components: an Attention-based Receptive Field Enhancement Module (ARFEM), an optimized SIoU loss function, and a Deformable Convolution Module (C3DCN). …”
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  10. 350

    E-Bayesian Prediction for the Burr XII Model Based on Type-II Censored Data with Two Samples by Hassan M. Okasha, Chuanmei Wang, Jianhua Wang

    Published 2020-01-01
    “…The results show that Bayesian and E-Bayesian predictions with the two kinds of loss functions have little difference for the point prediction, and E-Bayesian confidence interval (CI) with the two kinds of loss functions are almost similar and they are more accurate for the interval prediction.…”
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  11. 351

    SEM-2/SoxC regulates multiple aspects of C. elegans postembryonic mesoderm development. by Marissa Baccas, Vanathi Ganesan, Amy Leung, Lucas R Pineiro, Alexandra N McKillop, Jun Liu

    Published 2025-01-01
    “…Detailed analyses of mutant animals harboring this point mutation uncovered new functions of SEM-2 in the M lineage. …”
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  12. 352

    Exercise and tissue fibrosis: recent advances in therapeutic potential and molecular mechanisms by Zheng Zhao, Yongjia Zhu, Dongfeng Wan

    Published 2025-03-01
    “…It is characterized by an excessive accumulation of extracellular matrix (ECM), resulting in tissue hardening, structural remodeling, and loss of function. This pathological phenomenon is a common feature in the end stage of numerous chronic diseases. …”
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  13. 353

    An Improved Crop Disease Identification Method Based on Lightweight Convolutional Neural Network by Tingzhong Wang, Honghao Xu, Yudong Hai, Yutian Cui, Ziyuan Chen

    Published 2022-01-01
    “…In order to improve the training learning rate, Adam optimizer combining momentum algorithm and RMSprop algorithm is used to dynamically adjust the learning rate; the combination of the two algorithms makes the loss function converge to the lowest point faster. …”
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  14. 354

    3D Global Weak-Form Mesh-Free Method for Acoustic Attenuation Analysis of Expansion Chambers by Chun-Hui Fang, Cheng-Yang Liu, Zhi Fang

    Published 2020-01-01
    “…For the expansion chamber silencers, the 3D acoustic modes are extracted and the transmission loss results are computed by using the 3D global weak-form (MFM), which is based on the radial basis function point interpolation method (RPIM) for calculating the shape functions and Galerkin method for discretizing the system equation. …”
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  15. 355

    Fatty acid oxidation is essential for egg production by the parasitic flatworm Schistosoma mansoni. by Stanley Ching-Cheng Huang, Tori C Freitas, Eyal Amiel, Bart Everts, Erika L Pearce, James B Lok, Edward J Pearce

    Published 2012-01-01
    “…We show that oxygen consumption rates (OCR) and egg production are significantly diminished by pharmacologic inhibition of carnitine palmitoyl transferase 1 (CPT1), which catalyzes a rate limiting step in fatty acid β-oxidation (FAO) and by genetic loss of function of acyl CoA synthetase, which complexes with CPT1 and activates long chain FA for use in FAO, and of acyl CoA dehydrogenase, which catalyzes the first step in FAO within mitochondria. …”
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  16. 356

    Received signal strength–based target localization under spatially correlated shadowing via convex optimization relaxation by Shengming Chang, Youming Li, Hui Wang, Gang Wang

    Published 2018-06-01
    “…Received signal strength–based target localization methods normally employ radio propagation path loss model, in which the log-normal shadowing noise is generally assumed to follow a zero-mean Gaussian distribution and is uncorrelated. …”
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  17. 357

    Les quatre éléments dans « Karain » de Joseph Conrad : du mythe au manque by Catherine Delmas

    Published 2010-06-01
    “…The four elements first highlight the motif of human illusions and contribute to the symbolic function of the East ; they also serve a literary topos by enhancing the tragic muthos which is then immediately deconstucted ; the orientalist mode of representation is also called into question by impressionism, conveyed by fragmentation and the relativity of the point of view. …”
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  18. 358

    Proximal small bowel obstruction in a patient with cystic fibrosis: a case report by Zana Alattar, Caitlin Thornley, Milad Behbahaninia, Amy Sisley

    Published 2019-09-01
    “…Case presentation We describe a 42-year-old male with CF who presented with 2 days of worsening upper abdominal pain, emesis, and loss of bowel function. The patient had no history of any prior abdominal surgeries; however, imaging was concerning for high-grade mechanical small bowel obstruction possibly related to internal hernia. …”
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  19. 359

    KATNAL1 regulation of sertoli cell microtubule dynamics is essential for spermiogenesis and male fertility. by Lee B Smith, Laura Milne, Nancy Nelson, Sharon Eddie, Pamela Brown, Nina Atanassova, Moira K O'Bryan, Liza O'Donnell, Danielle Rhodes, Sara Wells, Diane Napper, Patrick Nolan, Zuzanna Lalanne, Michael Cheeseman, Josephine Peters

    Published 2012-01-01
    “…We demonstrate that Katnal1 is expressed in testicular Sertoli cells (SC) from 15.5 days post-coitum (dpc) and that, consistent with chemical disruption models, loss of function of KATNAL1 leads to male-specific infertility through disruption of SC microtubule dynamics and premature exfoliation of spermatids from the seminiferous epithelium. …”
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  20. 360

    Ground Based Cloud Recognition with an Anchor Free Method by LI Yichao, GUO Rui, ZHANG Shaodi, SHOU Zefeng, CHEN Jing, LIU Yifei

    Published 2023-04-01
    “…In order to solve the problems of cloud type recognition of the ground-based cloud such as complex target candidate box selection and slow detection speed, a recognition method of cloud types in ground-based cloud map based on anchor free is proposed.First, the paper takes Center Net as the basic architecture of cloud type recognition.Based on thermodynamic diagrams prediction, key point prediction, center point prediction and candidate box prediction, a anchor free ground-based cloud type detection process is constructed.And then, the main network, loss function and candidate box prediction method of cloud type recognition model are designed.Finally, take CenterNet Resdcn101 as the model, compared the algorithm recognition accuracy, candidate boxes predict confidence and identify speed with mainstream target recognition methods and cloud type recognition method The results showed that the cloud type recognition method of the paper has higher recognition accuracy and faster recognition speed.…”
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