Showing 1,121 - 1,140 results of 2,116 for search 'minimum computing', query time: 0.09s Refine Results
  1. 1121

    Failure Assessment of Steel-Concrete Composite Column Under Blast Loading by Marcin P. BUDZIAK, Tomasz GARBOWSKI

    Published 2014-04-01
    “…Results are presented in terms of minimum TNT mass equivalent required for a column member failure.…”
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    Article
  2. 1122

    Closing in on Hydrologic Predictive Accuracy: Combining the Strengths of High‐Fidelity and Physics‐Agnostic Models by Vinh Ngoc Tran, Valeriy Y. Ivanov, Donghui Xu, Jongho Kim

    Published 2023-09-01
    “…A surrogate model permits high computational efficiency of a PBM solution at a minimum loss of its accuracy. …”
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    Article
  3. 1123

    Comparison of Innovative Strategies for the Coverage Problem: Path Planning, Search Optimization, and Applications in Underwater Robotics by Ahmed Ibrahim, Francisco F. C. Rego, Éric Busvelle

    Published 2025-07-01
    “…We evaluate three path-planning approaches: the Traveling Salesman Problem (TSP), Minimum Spanning Tree (MST), and the Optimal Control Problem (OCP). …”
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  4. 1124
  5. 1125

    Evolutionary Dendritic Neural Model for Classification Problems by Xiaoxiao Qian, Cheng Tang, Yuki Todo, Qiuzhen Lin, Junkai Ji

    Published 2020-01-01
    “…CS algorithm enables EDNM to avoid several disadvantages, such as slow convergence, trapping into local minimum, and being sensitive to initial values. To evaluate the performance of EDNM, we compare it with a multilayer perceptron (MLP) and CDNM on two benchmark classification problems. …”
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  6. 1126

    Ridge Regressive Data Preprocessed Quantum Deep Belief Neural Network for Effective Trajectory Planning in Autonomous Vehicles by S. Nirmala Devi, Rajesh Natarajan, Gururaj H. L., Francesco Flammini, Badria Sulaiman Alfurhood, Sujatha Krishna

    Published 2024-01-01
    “…Experimental results are computed in terms of clustering accuracy, clustering time, error rate, precision, and recall. …”
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  7. 1127

    Ultrasonic welding of lap joints of PEI plates with PEI/CF-fabric prepregs by V.O. Alexenko, S.V. Panin, S.A. Bochkareva, Tian Defang, I.L. Panov

    Published 2024-04-01
    “…Computer simulation of the influence of the PEI/CF-fabric ratios in the prepregs on the deformation response of the USW joints showed that the prepreg thicknesses and, accordingly, the PEI/CF ratios did not exert a noticeable effect on the strain�stress (tensile) diagrams, while the determining factor was the adhesion level…”
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  8. 1128

    Calculation of energy consumption for soil cutting horizontal blade by the analysis process by Nikolayev V.A.

    Published 2019-06-01
    “…In analyzing the withdrawn according to compute the minimum speed of the unit, equipped with a horizontal knife, knife settings. …”
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  9. 1129

    Low-complexity signal detection algorithm for the power splitting receiver scheme by WANG Yanyan, LI Qidi, TANG Xiaohu

    Published 2024-04-01
    “…Theoretical analysis demonstrates that the proposed signal detection algorithm has lower computational complexity compared to the traditional signal detection schemes based on three-dimensional received signals. …”
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    Article
  10. 1130

    Analysis of Vertical Ground Reaction Force Data in Predicting Parkinson’s Disease by Varun Jain

    Published 2025-02-01
    “…A Fourier Analysis and several support vector machine learning models were computed in MATLAB to classify whether an individual had Parkinson’s disease. …”
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  11. 1131

    Evaluation of Some Tree Species to Absorb Air Pollutants in Three Industrial Locations of South Bengaluru, India by Abida Begum, S. Harikrishna

    Published 2010-01-01
    “…Further studies on air pollution tolerance index with respect to three industrial areas of south Bengaluru indicated that the air pollution was maximum in Jigani industrial area and minimum in Electronic city.…”
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  12. 1132

    DENSITOMETRY-BASED FEM SIMULATIONS OF NOVEL POROUS IMPLANTS AND CORRESPONDING STRESS DISTRIBUTION AT THE PERI-IMPLANT AREA by Luboš Řehounek, Aleš Jíra

    Published 2020-03-01
    “…Bone density was used as the defining parameter in determining the values of Young’s moduli of individual finite elements by the computational program (Mechanical Finder). The implant was introduced as a user-created STL file, which was imported to the computational software and situated inside the geometry of the human mandible. …”
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    Article
  13. 1133

    Approximation Algorithms for Maximum Link Scheduling under SINR-Based Interference Model by Zi-Ao Zhou, Chang-Geng Li

    Published 2015-07-01
    “…In addition, based on our centralized method, we present a polynomial time, randomized, distributed algorithm, which only requires estimates of the number of links, and maximum and minimum link lengths. We prove its correctness and show that it can compute a MLS with time complexity of O ( lo g 2 n ) , where n is an estimate of the number of links.…”
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  14. 1134

    Loopback matching algorithm with support set protection by Shu-juan TIAN, Xiao-ping FAN, Ting-rui PEI, Shu YANG, Zhe-tao LI

    Published 2015-09-01
    “…There was a drawback of deleting right support elements in some greedy iterative reconstruction algorithms.To resolve this problem,loopback matching algorithm with support set protection (LM-P) was proposed.First,LM-P ini-tialized elements of non-protected support set based on minimum residual inner product.Second,it computed the projec-tions of observations on the observation sub-matrix corresponding to non-protected support set elements.Then,an ele-ment in non-protected support set with the largest projection was added to the protected support set.An alternative multi-plicative iteration method was employed to obtain the whole protected support set.As to reconstruct a sparse signal whose nonzero elements are normally distributed and the signal sparsity is less than half the number of measurements,experimental results show that the reconstruction accuracy of LM-P algorithm exceeds 86%.For sparse signals with small noise,the reconstruction accuracy of LM-P can maintain over 99 %.Compared with OMP,CoSaMP,SP and GPA algo-rithms,LM-P's observations are smaller.LM-P also has good performance for image reconstruction.greedy iteration;support set;sparse signal;LM-P…”
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    Article
  15. 1135

    CFD Simulation of Multi-phase Flow Inside the Hydro-viscous Speed Regulating Clutch by Guo Guangchao, Xing Zuohui

    Published 2018-01-01
    “…Based on the computational fluid dynamics theory,the mathematical model of the fluid domain inside the hydro-viscous speed regulating clutch is established,and the multi-phase flow field in the radial groove friction pair is solved numerically by the CFD software. …”
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  16. 1136

    COVID-19 vaccination policies under uncertain transmission characteristics using stochastic programming. by Krishna Reddy Gujjula, Jiangyue Gong, Brittany Segundo, Lewis Ntaimo

    Published 2022-01-01
    “…An optimal policy provides the minimum number of vaccinations required to drive post-vaccination reproduction number to below one at a desired reliability level. …”
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    Article
  17. 1137

    Loopback matching algorithm with support set protection by Shu-juan TIAN, Xiao-ping FAN, Ting-rui PEI, Shu YANG, Zhe-tao LI

    Published 2015-09-01
    “…There was a drawback of deleting right support elements in some greedy iterative reconstruction algorithms.To resolve this problem,loopback matching algorithm with support set protection (LM-P) was proposed.First,LM-P ini-tialized elements of non-protected support set based on minimum residual inner product.Second,it computed the projec-tions of observations on the observation sub-matrix corresponding to non-protected support set elements.Then,an ele-ment in non-protected support set with the largest projection was added to the protected support set.An alternative multi-plicative iteration method was employed to obtain the whole protected support set.As to reconstruct a sparse signal whose nonzero elements are normally distributed and the signal sparsity is less than half the number of measurements,experimental results show that the reconstruction accuracy of LM-P algorithm exceeds 86%.For sparse signals with small noise,the reconstruction accuracy of LM-P can maintain over 99 %.Compared with OMP,CoSaMP,SP and GPA algo-rithms,LM-P's observations are smaller.LM-P also has good performance for image reconstruction.greedy iteration;support set;sparse signal;LM-P…”
    Get full text
    Article
  18. 1138

    Multi-disciplinary optimization of underwater vehicles based on a dynamic proxy model by Shaojun Sun, Weilin Luo

    Published 2025-01-01
    “…To reduce the computational burden in the optimization loop, this paper proposes a dynamic proxy model that combines the trust region with the adaptive minimum confidence Lowest Credible Bound (LCB) and the Synthetic Minority Over-Sampling Technique (SMOTE) algorithm. …”
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    Article
  19. 1139

    Kajian Aerodinamika Pada Model Kendaraan dengan Penerapan Kontrol Aktif Suction by Rustan Tarakka, Nasaruddin Salam, Jalaluddin Jalaluddin, Wawan Rauf, Muhammad Ihsan

    Published 2021-04-01
    “…The results obtained indicate that the application of active suction control is able to reduce wake formation and delay flow separation compared to the uncontrolled model, and is able to increase the minimum pressure coefficient on the rear wall of the vehicle model with an increase of 41.49%, and is able to reduce the drag coefficient by 11.0260% for the approach. computation and 11.0080% for the experimental approach.…”
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  20. 1140

    Elevated-Temperature Tensile Behavior and Properties of Inconel 718 Fabricated by In-Envelope Additive–Subtractive Hybrid Manufacturing and Post-Process Precipitation Hardening by Sheida Sarafan, Priti Wanjara, Roger Pelletier, Sila Ece Atabay, Javad Gholipour, Josh Soost, Robert Amos, Prakash Patnaik

    Published 2024-12-01
    “…The present study focuses on advancing one of the most popular AM techniques, namely, laser powder bed fusion (LPBF) technology, which has the ability to produce complex geometry parts with minimum material waste but continues to face challenges in minimizing the surface roughness. …”
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