Showing 241 - 260 results of 839 for search '"Computer performance"', query time: 0.31s Refine Results
  1. 241

    Direct comparison reveals algorithmic similarities in fly and mouse visual motion detection by Juyue Chen, Caitlin M. Gish, James W. Fransen, Emilio Salazar-Gatzimas, Damon A. Clark, Bart G. Borghuis

    Published 2023-10-01
    “…While similarities in the computations performed by these circuits in mouse and fruit fly have been noted, direct experimental comparisons have been lacking. …”
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  2. 242

    RTOB SLAM: Real-Time Onboard Laser-Based Localization and Mapping by Leonard Bauersfeld, Guillaume Ducard

    Published 2021-11-01
    “…A low-resolution 2D laser scanner is used and a small form-factor computer perform all computations onboard. The SLAM process is based on laser scan matching with the iterative closest point technique to estimate the vehicle’s current position by aligning the new scan with the map. …”
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  3. 243

    PERFORMANCE ANALYSIS OF INVERTER-FED SINGLE-PHASE INDUCTION MOTOR by Ali M. Saleh, Amer O. Kareem

    Published 2009-03-01
    “… This study investigates the effects of the presences of harmonics in the exciting voltage when using a dc/ac inverter on the performance of a single-phase induction motor, the investigation includes theoretical and experimental parts and together with performance comparison of the motor with the nominal sinusoidal input voltage. The computed performance of the motor depend on the theoretical equivalent circuits which are modified to take into account the existence of harmonics in the inverter output to compute the performance at each harmonic order. …”
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  4. 244

    Mapping nonlinear receptive field structure in primate retina at single cone resolution by Jeremy Freeman, Greg D Field, Peter H Li, Martin Greschner, Deborah E Gunning, Keith Mathieson, Alexander Sher, Alan M Litke, Liam Paninski, Eero P Simoncelli, EJ Chichilnisky

    Published 2015-10-01
    “…The function of a neural circuit is shaped by the computations performed by its interneurons, which in many cases are not easily accessible to experimental investigation. …”
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  5. 245

    A Scalable Approach for Short-Term Predictions of Link Traffic Flow by Online Association of Clustering Profiles by Attanasi Alessandro, Pezzulla Marco, Simi Luca, Meschini Lorenzo, Gentile Guido

    Published 2020-04-01
    “…The large availability of real-time data raises not only the expectations for high accuracy of the forecast methodology, but also the requirements for fast computing performances. The proposed approach is based on a real-time association of the latest data received from a sensor to the representative daily profile of one among the clusters that are built offline based on an historical data set using Affinity Propagation algorithm. …”
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  6. 246

    Proximal methods for the latent group lasso penalty by Villa, Silvia, Rosasco, Lorenzo Andrea, Mosci, Sofia, Verri, Alessandro

    Published 2016
    “…By exploiting the geometrical properties of the penalty, we devise a new active set strategy, thanks to which the inner iteration is relatively fast, thus guaranteeing good computational performances of the overall algorithm. Our approach allows to deal with high dimensional problems without pre-processing for dimensionality reduction, leading to better computational and prediction performances with respect to the state-of-the art methods, as shown empirically both on toy and real data.…”
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  7. 247

    Real-Time Predictive Control Strategy Optimization by Gupta, Samarth, Seshadri, Ravi, Atasoy, Bilge, Prakash, A Arun, Pereira, Francisco, Tan, Gary, Ben-Akiva, Moshe

    Published 2021
    “…The results indicate significant improvements in network-wide travel time of up to 9% with real-time computational performance.…”
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  8. 248

    Experience Implementing a Performant Category-Theory Library in Coq by Chlipala, Adam, Spivak, David I., Gross, Jason S.

    Published 2015
    “…Category theory and computational performance are not usually mentioned in the same breath, but we have needed substantial engineering effort to teach Coq to cope with large categorical constructions without slowing proof script processing unacceptably. …”
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    Article
  9. 249

    The connectome of the adult Drosophila mushroom body provides insights into function by Li, F, Lindsey, JW, Marin, EC, Otto, N, Dreher, M, Dempsey, G, Stark, I, Bates, AS, Pleijzier, MW, Schlegel, P, Nern, A, Takemura, S-Y, Eckstein, N, Yang, T, Francis, A, Braun, A, Parekh, R, Costa, M, Scheffer, LK, Aso, Y, Jefferis, GS, Abbott, LF, Litwin-Kumar, A, Waddell, S, Rubin, GM

    Published 2020
    “…Making inferences about the computations performed by neuronal circuits from synapse-level connectivity maps is an emerging opportunity in neuroscience. …”
    Journal article
  10. 250

    Robustly simulating biochemical reaction kinetics using multi-level Monte Carlo approaches by Lester, C, Yates, C, Baker, R

    Published 2018
    “…In this work, we develop the multi-level method in two directions: (1) to increase the robustness, reliability and performance of the multi-level method, we implement an improved variance reduction method for generating the sample paths of each ensemble; and (2) to improve computational performance, we demonstrate the successful use of a different mechanism for choosing which ensembles should be included in the multi-level algorithm.…”
    Journal article
  11. 251

    Neuromorphic computing based on halide perovskites by Vasilopoulou, Maria, Mohd. Yusoff, Abd. Rashid, Chai, Yang, Kourtis, Michael Alexandros, Matsushima, Toshinori, Gasparini, Nicola, Du, Rose, Gao, Feng, Nazeeruddin, Mohammad Khaja, Anthopoulos, Thomas D., Noh, Yong Young

    Published 2023
    “…Such systems have traditionally been based on complementary metal–oxide–semiconductor circuits, but further advances in computational performance will probably require devices that can offer high-order complexity combined with area and energy efficiency. …”
    Article
  12. 252

    Analysis of features selection for p2p traffic detection using support vector machine by Jamil, Haitham A., Zarei, Roozbeh, Fadlelssied, Nadir O., Aliyu, M., Nor, Sulaiman M., Marsono, Muhammad N.

    Published 2013
    “…The experimental results indicate that P2P SVM classifier with reduced feature sets not only results in a higher computing performance (0.14 second for testing time), but also achieves high accuracy (92.6%).…”
    Conference or Workshop Item
  13. 253

    Performance of CPU_GPU parallel architecture on segmentation and geometrical features extraction of Malaysian herb leaves by Hadi, N. A., Halim, S. A., Lazim, N. S. M., Alias, N.

    Published 2022
    “…Both processes are first executed on the CPU alone before bringing it onto a CPU-GPU platform to accelerate the computational performance. The results show that the developed CPU-GPU platformhas accelerated the computation process by a factor of 4.13. …”
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  14. 254

    Application of single-step single nucleotide polymorphism best linear unbiased predictor model with unknown-parent groups for type traits in Japanese Holsteins by Takefumi Osawa, Yutaka Masuda, Junichi Saburi, Keita Hirumachi

    Published 2023-07-01
    “…ABSTRACT: The objectives of this study were to investigate the computational performance and the predictive ability and bias of a single-step SNP BLUP model (ssSNPBLUP) in genotyped young animals with unknown-parent groups (UPG) for type traits, using national genetic evaluation data from the Japanese Holstein population. …”
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  15. 255

    Software for Brain Network Simulations: A Comparative Study by Ruben A. Tikidji-Hamburyan, Vikram Narayana, Zeki Bozkus, Tarek A. El-Ghazawi

    Published 2017-07-01
    “…Overall, the case studies reinforce our general observation that simulators have a bias in the computational performance toward specific types of the brain network models.…”
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  16. 256
  17. 257

    PSO-Based Optimum Design Of PID Controller for Switching Reluctance Motor by Ekhlas M. Thejeel, Mazin M. Mahdi, Zainab N. Abbass

    Published 2013-09-01
    “…This paper presents simulation results for three phase, 6/4 poles switched reluctance motor (SRM) by using particle swarm optimization (PSO) method for formative the optimal proportional-integral-derivative (PID) controller tuning parameters.The proposed approach has superior feature, including easy implementation, stable convergence characteristics and very good computational performances efficiency. The main focus of this paper is to investigate the dynamic performance of switched reluctance (SR) motors. …”
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  18. 258

    A Quantum Blind Multi-Signature Method for the Industrial Blockchain by Zhengying Cai, Shi Liu, Zhangyi Han, Rui Wang, Yuehua Huang

    Published 2021-11-01
    “…Third, the security and complexity of the proposed framework are analyzed and compared with related methods in references, and our proposed method is verified to be able to offer good computational performance and blockchain scalability for multi-party transaction. …”
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  19. 259

    Modeling and Simulating Wind Energy Generation Systems by Means of Co-Simulation Techniques by Loan Tullio F. W. da Silva, Marcelo Aroca Tomim, Pedro Gomes Barbosa, Pedro Machado de Almeida, Robson Francisco da Silva Dias

    Published 2023-10-01
    “…To achieve the decoupling of the subsystems, the Bergeron ideal transmission line model will be used, with travel time equal to the simulation time-step. The computational performance and effectiveness of the proposed co-simulation technique was evaluated with a wind power plant with 50 wind turbines. …”
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  20. 260

    Methionine oxidation selectively enhances T cell reactivity against a melanoma antigen by Gabriela N. Chiriţoiu, Cristian V.A. Munteanu, Teodor A. Şulea, Laurenţiu Spiridon, Andrei-Jose Petrescu, Camilla Jandus, Pedro Romero, Ştefana M. Petrescu

    Published 2023-07-01
    “…This is consistent with free energy computations performed on HLA-A∗02:01/YMD/TCR complex showing that this is lowered upon oxidation, paired with a steep increase in order at atomic level. …”
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