Showing 2,441 - 2,460 results of 2,900 for search '(feature OR features) parameters computational', query time: 0.23s Refine Results
  1. 2441

    Classical Benchmarks for Variational Quantum Eigensolver Simulations of the Hubbard Model by Antonios M. Alvertis, Abid Khan, Thomas Iadecola, Peter P. Orth, Norm Tubman

    Published 2025-05-01
    “…Concurrently, spatially inhomogeneous parameters and the presence of off-site Coulomb interactions only have a small effect on the accuracy of the computed ground state energies. …”
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    Microvascular heterogeneity exploration in core and invasive zones of orthotopic rat glioblastoma via ultrasound localization microscopy by Xing Hu, Gaobo Zhang, Yong Wang, Xiandi Zhang, Rong Xie, Xin Liu, Hong Ding

    Published 2025-03-01
    “…Capillary pattern, capillary hemodynamics, and functional quantitative parameters were compared among tumor core, invasive zone, and normal brain tissue with ex vivo micro-computed tomography (micro-CT) and scanning electron microscopy. …”
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    WHY WE CANNOT PREDICT STRONG EARTHQUAKES IN THE EARTH’S CRUST by Iosif L. Gufeld, Margarita I. Matveeva, Oleg N. Novoselov

    Published 2015-09-01
    “…Incontrovertible achievements of the Earth sciences are reviewed, considering specific features of seismic events and variations of various parameters of the lithosphere, the block structure of the lithosphere and processes in the lithosphere. …”
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  8. 2448

    Exploring Dynamic Hierarchical Fusion for Multi-View Clustering by Zhenshan Chen, Xuran Tian, Lizhen Gao, Gengbin Liao, Yang Shen, Kainan Zheng, Jianglin Fang

    Published 2025-01-01
    “…Additionally, we introduce a multi-view gated fusion module, which utilizes a set of learnable normalized parameters to dynamically compute the contribution of each view’s representation and its multi-scale features. …”
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    APPSO‐NN: An adaptive‐probability particle swarm optimization neural network for sensorineural hearing loss detection by Jingyuan Yang, Yu‐Dong Zhang

    Published 2023-07-01
    “…The system first employs a wavelet entropy layer to extract features of MRI images. Then, a neural network layer is proposed as the classifier consisting of a feedforward neural network (FNN) and an adaptive‐probability PSO (APPSO) algorithm. …”
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  14. 2454

    Radiographic evaluation of temporomandibular joint in patients with posterior direct restorations by I. N. Bagdasarova, A. A. Gevorkyan, O. V. Pilshchikova, N. N. Fedotova, A. S. Karnaeva, L. A. Kozhevnikova, V. M. Slonova

    Published 2020-03-01
    “…The process of tooth wear and direct restorations can progress and cause dysfunction of the temporomandibular joint (TMJ), the assessment of which is quite effective using cone beam computed tomography (CBCT).The aim is to study of the morphological parameters of the condyles and their relationship with the articular fossa of the TMJ using CBCT in patients with direct restorations in the masticatory region of the upper and lower jaws.Materials and methods. …”
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    Formation of unmanned aircraft trajectory when flying around prohibited areas by A. A. Lobaty, A. Y. Bumai, A. M. Avsievich

    Published 2022-01-01
    “…A law for measuring the control acceleration of the UAV’s center of mass is obtained on the basis of specifying the minimized quality functional and the corresponding constraints, which is a feature of the considered method of solving the problem. …”
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  17. 2457

    A critical phantom study of the energy window used for 99mTc quantitative explorations with a ring CZT SPECT system by Alain Seret, Claire Bernard

    Published 2025-08-01
    “…Conclusions Narrow symmetric or asymmetric energy windows were found an interesting alternative to the standard dual energy window method to reject 99mTc scattered photons. As a key feature, they allowed to avoid the erasing of small hot objects in a null background that was observed with the standard dual energy window scatter correction.…”
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  18. 2458

    SFMattingNet: A Trimap-Free Deep Image Matting Approach for Smoke and Fire Scenes by Shihui Ma, Zhaoyang Xu, Hongping Yan

    Published 2025-07-01
    “…Taking into account the unique characteristics of smoke and fire, the network incorporates a non-rigid object feature extraction module and a spatial awareness module, achieving improved performance. …”
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