Showing 3,461 - 3,480 results of 11,478 for search 'learning function', query time: 0.15s Refine Results
  1. 3461
  2. 3462

    Bridging domain gaps in CNNs: a comprehensive approach with adaptation and randomization strategies by Chen Sun, Xingxin Chen, Yukun Lu, Dongpu Cao, Amir Khajepour

    Published 2024-07-01
    “…Adversarial methods can be considered an automatic learning approach to the metric function. Instead of relying on the quality of the metric function, we outline a generalized framework for domain randomization, which first introduces moderate perturbations as a form of randomness and then combines the advantages of metric-based domain adaptation with domain randomization. …”
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  3. 3463

    Improving the cognitive functions in the middle-aged patients with essential arterial hypertension after the treatment with amlodipine/valsartan single-pill combination by O. D. Ostroumova, E. V. Borisova, A. I. Kochetkov, T. M. Ostroumova, O. V. Bondarec

    Published 2019-03-01
    “…In all participants cognitive functions were evaluated by 5 different tests at baseline and at the end of follow-up: Montreal Cognitive Assessment (MoCA); Trail Making test (part A and part B), Stroop Color and Word Test; verbal fluency test; 10-item word list learning task. …”
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  4. 3464

    503 A novel approach to developing and validating a predictive model of functional recovery for adults with stroke in post-acute rehabilitation by Alison Cogan, Dongze Ye, Dingyi Nie, Mary Lawlor, Nicolas Schweighofer

    Published 2025-04-01
    “…Objectives/Goals: To use patient-level Center for Medicare and Medicaid Services (CMS) mandated quality metrics for inpatient rehabilitation facilities (IRFs) to develop and validate predictive models of functional recovery and interactions of baseline characteristics with therapy time. …”
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  5. 3465

    Endogenous Recovery of Hippocampal Function Following Global Cerebral Ischemia in Juvenile Female Mice Is Influenced by Neuroinflammation and Circulating Sex Hormones by Jose J. Vigil, Erika Tiemeier, James E. Orfila, Nicholas E. Chalmers, Victoria N. Chang, Danae Mitchell, Isobella Veitch, Macy Falk, Robert M. Dietz, Paco S. Herson, Nidia Quillinan

    Published 2025-01-01
    “…Cardiac arrest (CA)-induced global cerebral ischemia (GCI) in childhood often results in learning and memory deficits. We previously demonstrated in a murine CA and cardiopulmonary resuscitation (CA/CPR) mouse model that a cellular mechanism of learning and memory, long-term potentiation (LTP), is acutely impaired in the hippocampus of juvenile males, correlating with deficits in memory tasks. …”
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    From LMS to adaptive training systems by Y. B. Popova

    Published 2019-08-01
    “…By formalizing the intellectual processes that both the teacher and the student carry out, it is possible to automate a certain part of the teacher’s functions, reduce the cost of manual labor, which will make it easier to monitor the learning process and also make the learning process more efficient.…”
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  9. 3469

    METODE KLASIFIKASI JARINGAN SYARAF TIRUAN BACKPROPAGATION PADA MAHASISWA STATISTIKA UNIVERSITAS TERBUKA by Siti Hadijah Hasanah, Sri Maulidia Permatasari

    Published 2020-06-01
    “…Meanwhile, for the classification accuracy, the activation function and the learning rate are used minimum mean square of error (MST) on training data. …”
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  10. 3470

    An enhanced ensemble defense framework for boosting adversarial robustness of intrusion detection systems by Zeinab Awad, Magdy Zakaria, Rasha Hassan

    Published 2025-04-01
    “…Abstract Machine learning (ML) and deep neural networks (DNN) have emerged as powerful tools for enhancing intrusion detection systems (IDS) in cybersecurity. …”
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    Integrating metro passenger flow data to improve the classification of urban functional regions using a heterogeneous graph neural network by Pengxin Zhang, Min Yang, Yong Wang, Taiyang Yang, Huafei Yu, Xiongfeng Yan

    Published 2024-12-01
    “…Finally, an HGNN model is designed to process the graph and classify the block functional types using a semi-supervised learning method. …”
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  13. 3473

    Bushen-Tiansui Formula Improves Cognitive Functions in an Aβ1–42 Fibril-Infused Rat Model of Alzheimer’s Disease by Chenxia Sheng, Panpan Xu, Xinyi Liu, Weijun Peng, Daxiong Xiang, Shilin Luo

    Published 2020-01-01
    “…Together, these results provided a scientific support for the clinical use of BTF to improve learning and memory in patients with AD.…”
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  14. 3474

    Combined Effects of Exercise and Vitamin D on Neuroinflammation, Blood-Brain Barrier Integrity, Oxidative Stress, and Cognitive Function in Nonpathological Mice by Taewan Kim, Donghyun Kim, Yoonhwan Kim, Jeonghyeon Kim, Seamon Kang, Jinkyung Cho

    Published 2025-07-01
    “…Purpose This study investigated whether the combined application of treadmill exercise and vitamin D injections exerts neuroprotective effects in nonpathological mice by enhancing cognitive function, regulating immune responses, preserving blood-brain barrier (BBB) integrity, and improving mitochondrial efficiency. …”
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  15. 3475

    Robotic Arm Trajectory Planning in Dynamic Environments Based on Self-Optimizing Replay Mechanism by Pengyao Xu, Chong Di, Jiandong Lv, Peng Zhao, Chao Chen, Ruotong Wang

    Published 2025-07-01
    “…Trajectory planning tasks based on deep reinforcement learning (DRL) suffer from difficulties in acquiring human expert strategies, low experience utilization (leading to slow convergence), and unreasonable reward function design. …”
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  16. 3476

    The Impact of Open-Skill Exercises and E-Sports on Cognitive Function: A Narrative Review of Their Role in Preventing Cognitive Decline and Dementia by Shuzo Kumagai, Hyuntae Park, Si Chen, Takao Yamasaki

    Published 2025-06-01
    “…<b>Background/Objectives:</b> There is still no clear consensus regarding the efficacy of exercise interventions in maintaining or improving cognitive function among independent older adults, as well as individuals with mild cognitive impairment (MCI) or dementia. …”
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    Preprocessing-Free Convolutional Neural Network Model for Arrhythmia Classification Using ECG Images by Chotirose Prathom, Ryuhi Fukuda, Yuto Yokoyanagi, Yoshifumi Okada

    Published 2025-03-01
    “…First, the proposed model utilizes images of three consecutive cardiac cycles as the input to expand the learning scope. Second, we implement a focal loss (FL) function during model training to prioritize minority classes. …”
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  20. 3480

    Enhanced Brain Functional Interaction Following BCI-Guided Supernumerary Robotic Finger Training Based on Sixth-Finger Motor Imagery by Shuaifei Huang, Yuan Liu, Zhuang Wang, Wenlai Wu, Jun Guo, Weiguo Xu, Dong Ming

    Published 2025-01-01
    “…These results indicate that the integration of BCI and SRF significantly regulates the functional interaction between motor learning and cognitive imagery brain regions, enhances the integration and processing ability of brain networks for local information, and improves human-machine interaction behavioral performance.…”
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