Showing 561 - 580 results of 839 for search '"Computer performance"', query time: 0.29s Refine Results
  1. 561

    FilterReg: Robust and Efficient Probabilistic Point-Set Registration Using Gaussian Filter and Twist Parameterization by Gao, Wei, Tedrake, Russ

    Published 2021
    “…In this paper, we contribute a novel probabilistic registration method that achieves state-of-the-art robustness as well as substantially faster computational performance than modern ICP implementations. …”
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    Article
  2. 562

    Thalamic regulation of frontal interactions in human cognitive flexibility by Hummos, Ali, Wang, Bin A, Drammis, Sabrina, Halassa, Michael M, Pleger, Burkhard

    Published 2022
    “…Animal studies suggest a role for mediodorsal thalamus (MD) in these interactions, but the computations performed and direct relevance to human decision making are unclear. …”
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    Article
  3. 563

    A Mobile Robot Project by Brooks, Rodney A.

    Published 2008
    “…Our approach to building the robot and its controlling software differs from that used in many other projects in a number of ways. (1) We model the world as three dimensional rather than two. (2) We build no special environment for our robot and insist that it must operate in the same real world that we inhabit. (3) In order to adequately deal with uncertainty of perception and control we build relational maps rather than maps embedded in a coordinate system, and we maintain explicit models of all uncertainties. (4) We explicitly monitor the computational performance of the components of the control system, in order to refine the design of a real time control system for mobile robots based on a special purpose distributed computation engine. (5) We use vision as our primary sense and relegate acoustic sensors to local obstacle detection. (6) We use a new architecture for an intelligent system designed to provide integration of many early vision processes, and robust real-time performance even in cases of sensory overload, failure of certain early vision processes to deliver much information in particular situations, and computation module failure.…”
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    Working Paper
  4. 564

    Struct2Net: a web service to predict protein–protein interactions using a structure-based approach by Singh, Rohit, Park, Daniel Kyu, Xu, Jinbo, Hosur, Raghavendra, Berger, Bonnie

    Published 2012
    “…For proteins from other species, users have the option of getting a quick-but-approximate result (using orthology over pre-computed results) or having a full-blown computation performed. The web service is freely available at http://struct2net.csail.mit.edu.…”
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    Article
  5. 565

    Struct2Net: a web service to predict protein–protein interactions using a structure-based approach by Xu, Jinbo, Singh, Rohit, Park, Daniel Kyu, Hosur, Raghavendra, Berger, Bonnie

    Published 2012
    “…For proteins from other species, users have the option of getting a quick-but-approximate result (using orthology over pre-computed results) or having a full-blown computation performed. The web service is freely available at http://struct2net.csail.mit.edu.…”
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    Article
  6. 566

    Real-time large-scale dense RGB-D SLAM with volumetric fusion by Whelan, Thomas, Kaess, Michael, Johannsson, Hordur, Fallon, Maurice Francis, Leonard, John Joseph, McDonald, John

    Published 2015
    “…We present results on a wide variety of aspects of the system and show through evaluation on de facto standard RGB-D benchmarks that our system performs strongly in terms of trajectory estimation, map quality and computational performance in comparison to other state-of-the-art systems.…”
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    Article
  7. 567

    Mathematical programming formulations for robust airside terminal traffic flow optimisation problem by Ng, Kam K.H., Chen, Chun-Hsien, Lee, C. K. M.

    Published 2022
    “…In addition, two decomposition methods are presented and proposed in this work. The computational performance of traditional Benders Decomposition will largely be affected by the infeasibility in the subsystem and resolution of infeasible solution in the second-stage optimisation problem resulting in a long iterative process. …”
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    Journal Article
  8. 568

    Simulation of neural networks for neuromorphic chip with crossbar array of RRAM synapses by Sreejith Kumar Ashish Jith

    Published 2019
    “…Furthermore, it acts as a simulation tool for debugging computations performed on the neuromorphic chip during inferencing. …”
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    Thesis
  9. 569

    SeroBA: rapid high-throughput serotyping of Streptococcus pneumoniae from whole genome sequence data by Epping, L, Van Tonder, A, Gladstone, R, The Global Pneumococcal Sequencing Consortium, Bentley, S, Page, A, Keane, J, Turner, P

    Published 2018
    “…We compare SeroBA against real and simulated data and present results on the concordance and computational performance against a validation dataset, the robustness and scalability when analysing a large dataset, and the impact of varying the depth of coverage on sequence-based serotyping. …”
    Journal article
  10. 570

    Stabilizing linear harmonic flow solvers for turbomachinery aeroelasicity with complex iterative algorithms by Campobasso, MS, Giles, M

    Published 2006
    “…Results show that the complex solvers not only stabilize the code, but also lead to a substantial enhancement of the computational performance with respect to their real counterparts. …”
    Journal article
  11. 571

    Task and motion informed trees (TMIT*): Almost-surely asymptotically optimal integrated task and motion planning by Thomason, W, Strub, MP, Gammell, JD

    Published 2022
    “…TMP has mainly focused on computational performance and completeness and less on solution optimality. …”
    Journal article
  12. 572

    Harris Hawk Optimization-Based Deep Neural Networks Architecture for Optimal Bidding in the Electricity Market by Kavita Jain, Muhammed Basheer Jasser, Muzaffar Hamzah, Akash Saxena, Ali Wagdy Mohamed

    Published 2022
    “…Due to the use of the MPNN, case studies show that the suggested methodology delivers a much larger profit than other state-of-the-art methods and has a better computational performance than the benchmark HHO technique.…”
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    Article
  13. 573

    Ant colony optimization algorithm for dynamic scheduling of jobs in computational grid by Ku-Mahamud, Ku Ruhana, Ramli, Razamin, Yusof, Yuhanis, Mohamed Din, Aniza, Mahmuddin, Massudi

    Published 2012
    “…In computational grid, job scheduling is one of the main factors affecting grid computing performance. Job scheduling problem is classified as an NP-hard problem.Such a problem can be solved only by using approximate algorithms such as heuristic and meta-heuristic algorithms.Among different optimization algorithms for job scheduling, ant colony system algorithm is a popular meta-heuristic algorithm which has the ability to solve different types of NP-hard problems.However, ant colony system algorithm has a deficiency in its heuristic function which affects the algorithm behavior in terms of finding the shortest connection between edges.This research focuses on a new heuristic function where information about recent ants’ discoveries has been considered.The new heuristic function has been integrated into the classical ant colony system algorithm.Furthermore, the enhanced algorithm has been implemented to solve the travelling salesman problem as well as in scheduling of jobs in computational grid.A simulator with dynamic environment feature to mimic real life application has been development to validate the proposed enhanced ant colony system algorithm. …”
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    Monograph
  14. 574
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  18. 578

    Conical spring and localised region methodologies for modelling of soft tissue deformation by Omar, Nadzeri

    Published 2017
    “…Moreover, the generated conical spring model is based on the force propagation approach. The computational performance of the model relies on the number of nodes involved in the propagation of the force. …”
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    Thesis
  19. 579

    Machine Learning for Climate Precipitation Prediction Modeling over South America by Juliana Aparecida Anochi, Vinícius Albuquerque de Almeida, Haroldo Fraga de Campos Velho

    Published 2021-06-01
    “…Another advantage is the computational performance from machine learning models, running faster with much lower computer resources than models based on differential equations currently used in operational centers. …”
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    Article
  20. 580

    Direction selectivity in the larval zebrafish tectum is mediated by asymmetric inhibition by Abhinav eGrama, Florian eEngert

    Published 2012-09-01
    “…The extraction of the direction of motion is an important computation performed by many sensory systems and in particular, the mechanism by which direction selective ganglion cells (DS-RGCs) in the retina acquire their selective properties, has been studied extensively. …”
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    Article