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Showing 81 - 100 results of 286 for search 'adaptive (compositional OR computational) modification', query time: 0.12s Refine Results
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    Accelerated Bayesian optimization for CNN+LSTM learning rate tuning via precomputed Gaussian process subspaces in soil analysis by Xiaolong Chen, Hongfeng Zhang, Cora Un In Wong, Zhengchun Song

    Published 2025-08-01
    “…The proposed system integrates seamlessly with existing CNN+LSTM pipelines, where the offline phase constructs the GP subspace using historical or synthetic data, while the online phase iteratively updates the subspace with rank-1 modifications. Moreover, the method’s adaptability to non-stationary response surfaces, facilitated by a Matérn-5/2 kernel with automatic relevance determination, makes it particularly suitable for soil data exhibiting multi-scale features.ResultsEmpirical validation on soil spectral datasets demonstrates a 3–5× speedup in convergence compared to standard Bayesian optimization, with no loss in model accuracy. …”
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  4. 84

    Atmosphere regulation: unraveling effective strategies for creating high-performance iron ore/biochar composite nanomaterials in ball milling processes by Hui Zhang, Zi Cheng, Kai Hu, Boxiong Shen, Honghong Lyu, Jingchun Tang

    Published 2025-06-01
    “…Abstract Ball milling technology has become an important method for material modification due to its high efficiency, environmental protection and economy. …”
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    Alzheimer's disease drug development pipeline: 2019 by Jeffrey Cummings, Garam Lee, Aaron Ritter, Marwan Sabbagh, Kate Zhong

    Published 2019-01-01
    “…Amyloid is the most common specific target in phase 3 and phase 2 disease modification trials. Novel biomarkers (e.g., neurofilament light), new outcomes (e.g., AD Composite Score [ADCOMS]), enrollment of earlier populations, and innovative trial designs (e.g., Bayesian adaptive designs) are new features in recent clinical trials. …”
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  7. 87

    Effect of three different preparation designs on the marginal adaptation of indirect overlay restoration fabricated from lithium disilicate ceramic material: An in-vitro comparativ... by Sajad Athab Hasan, Zainab Mohammed-Hussain Abdul-Ameer

    Published 2023-05-01
    “…Conclusion: This study demonstrated that modification of tooth preparation plays a significant role in the marginal adaptation of the lithium disilicate overlays. …”
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    Unsupervised Class Generation to Expand Semantic Segmentation Datasets by Javier Montalvo, Álvaro García-Martín, Pablo Carballeira, Juan C. SanMiguel

    Published 2025-05-01
    “…Our approach aims to improve the performance of unsupervised domain adaptation methods by introducing novel samples into the training data without modifications to the underlying algorithms. …”
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  11. 91

    Improved method for a pedestrian detection model based on YOLO by Yanfei LI, Chengyi DONG

    Published 2025-06-01
    “…The proposed method ultimately provides a computationally efficient and robust intelligent monitoring solution for agricultural mechanization, facilitating the transition from conventional agricultural practices toward sustainable, low-carbon production paradigms through algorithmic optimization.…”
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  12. 92

    Low Complexity Optimized AOR Method for Massive MIMO Signal Detection by Muhammad Nauman Irshad, Muhamamd Muzamil Aslam, Rardchawadee Silapunt

    Published 2025-01-01
    “…These significant modifications amplify the efficiency of the OAOR method. …”
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    Automatic delineation of cervical cancer target volumes in small samples based on multi-decoder and semi-supervised learning and clinical application by Haibo Peng, Tao Liu, Pengcheng Li, Fang Yang, Xing Luo, Xiaoqing Sun, Dong Gao, Fengyu Lin, Lecheng Jia, Ningyue Xu, Huigang Tan, Xi Wang, Tao Ren

    Published 2024-11-01
    “…In a prospective clinical study of online ART, the target volume modification time (MTime) was 3–5 min for dRT and 2–4 min for pRT, and the main duration of CTV1 modification was approximately 2 min. …”
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    Improved YOLOv8-Based Algorithm for Citrus Leaf Disease Detection by Zhengbing Zheng, Yibang Zhang, Luchao Sun

    Published 2025-01-01
    “…This modification increases the model’s parameter count without adding to the computational cost in terms of floating-point operations. …”
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  17. 97

    Enhancing action recognition in educational settings through exercise-induced neuroplasticity by Xu Yuan, Han Li, ShuangYi Feng, MingYang Sun

    Published 2025-07-01
    “…Existing models primarily rely on behavioral metrics, neglecting the underlying neural mechanisms that drive skill acquisition.MethodsOur method introduces a Neuroplastic Learning Dynamics Model (NLDM), a computational framework designed to simulate the synaptic modifications, cortical reorganization, and learning-induced connectivity changes that occur during educational engagement. …”
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  18. 98

    Multi-objective optimization to enhance surface integrity in WEDM for Al-matrix composite: A comparative assessment of self-weight adjusting MCDMs and objective weight integrated h... by Gaurav Anand, Santanu Sardar, Satesh Sah, Ashim Guha, Debdulal Das

    Published 2025-01-01
    “…These techniques were assessed for the optimization of modification in surface chemistry (MSC), surface roughness (SR), and cutting velocity (CV) in WEDM of an in-situ stir-cast Al–Mg/20 Al3Fe composite employing the experimental results conducted based on RSM-CCD layout considering input variables of pulse-on time, servo voltage, peak current, and wire-feed rate. …”
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  19. 99

    Advanced imaging-enabled understanding of cell wall remodeling mechanisms mediating plant drought stress tolerance by Nannan Zhao, Zhiguo Zhou, Shunli Cui, Xinye Zhang, Shu Zhu, Ying Wang, Tinashe Zenda, Li Wenjing

    Published 2025-08-01
    “…Appropriate cell wall changes in mechanical properties and biochemical composition under stress conditions constitute an indispensable stress adaptation strategy. …”
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    University proceedings. Volga region. Technical sciences by Yu.V. Dubenko, E.E. Dyshkant, V.A. Demidov

    Published 2025-05-01
    “…As a result, a method for synthesizing and automatically adapting the architecture of a hierarchical MAS was developed, characterized by automatic modification of a set of agent connections during the operation of the MAS (as well as basic rules that determine the conditions for the emergence of connections), the ability to determine the optimal parameters of the MAS for a specific environment using a genetic algorithm, as well as the ability to model several types of MAS architectures. …”
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