يعرض 1 - 20 نتائج من 97 نتيجة بحث عن '(( ((algorithm both) OR (algorithm goa)) function ) OR ( algorithms protein function ))', وقت الاستعلام: 0.12s تنقيح النتائج
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    Computational evluation of protein energy functions حسب Mansour, Nashat

    منشور في 2014
    "…A protein is characterized by its 3D structure, which defines its biological function. …"
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    Scatter Search algorithm for Protein Structure Prediction حسب Mansour, Nashat

    منشور في 2016
    "…Given the protein's sequence of Amino Acids (AAs), our algorithm produces a 3D structure that aims to minimise the energy function associated with the structure. …"
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    article
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    Evolutionary algorithm for predicting all-atom protein structure حسب Mansour, Nashat

    منشور في 2011
    "…This algorithm produces a 3D structure of the whole protein, including back-bone and side-chain atoms, by minimizing the energy function associated with the structure. …"
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    New enumeration algorithm for regular boolean functions حسب Nasrallah, Walid F.

    منشور في 2018
    "…After proving this equivalence, this paper introduces a novel data structure that may, with further tweaking, enable faster enumeration algorithms for both regular Boolean functions and all-capacities knapsack problem instances.…"
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    Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization حسب Abu Zitar, Raed

    منشور في 2022
    "…Nevertheless, the GOA is unsuitable for addressing multimodal, hybrid functions, and data mining problems. …"
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    Consensus-Based Distributed Formation Control of Multi-Quadcopter Systems: Barrier Lyapunov Function Approach حسب Nargess Sadeghzadeh-Nokhodberiz (16904952)

    منشور في 2023
    "…The method is firstly developed in a centralized scheme and then extended to a distributed framework using appropriate asymptotically convergent consensus algorithms. Therefore, the asymptotic convergence of the designed distributed algorithm to the centralized one is guaranteed. …"
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    A Quasi-Oppositional Method for Output Tracking Control by Swarm-Based MPID Controller on AC/HVDC Interconnected Systems With Virtual Inertia Emulation حسب Iman M. Hosseini Naveh (16891482)

    منشور في 2021
    "…The role of the proposed quasi oppositional based SMPID controller is to modify the tracking strategy on AC/HVDC interconnected systems while reducing the related cost function. The proposed analysis is established considering the most highly cited, well-known tested and newly expanded swarm-based optimization algorithms (SBOAs), such as Grasshopper Optimization Algorithm (GOA), Grey Wolf Optimization (GWO), Artificial Fish Swarm Algorithm (AFSA), Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO). …"
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    Distributed optimal coverage control in multi-agent systems: Known and unknown environments حسب Mohammadhasan Faghihi (22303057)

    منشور في 2024
    "…The proposed technique offers an optimal solution with a lower cost with respect to conventional Voronoi-based techniques by effectively handling the issue of agents remaining stationary in regions void of information using a ranking function. The proposed approach leverages a novel cost function for optimizing the agents’ coverage and the cost function eventually aligns with the conventional Voronoi-based cost function. …"
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    Fragment-based computational protein structure prediction حسب Mansour, Nashat

    منشور في 2014
    "…The 3-dimensional configuration determines a protein’s function. Hence, it is very important to determine the correct structure in order to identify the wrong folding that indicates a disease situation. …"
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    Fragment based protein structure prediction. (c2013) حسب Terzian, Meghrig Ohanes

    منشور في 2016
    "…The results, evaluated on three proteins, show that the algorithm produces tertiary structures with promising root mean square deviations, within reasonable times.…"
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    masterThesis
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    Iterative Least Squares Functional Networks Classifier حسب Faisal, Kanaan A

    منشور في 2007
    "…Both methodology and learning algorithm for this kind of computational intelligence classifier using the iterative least squares optimization criterion are derived. …"
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    article
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    Cross entropy error function in neural networks حسب Nasr, G.E.

    منشور في 2002
    "…The ANN is implemented using the cross entropy error function in the training stage. The cross entropy function is proven to accelerate the backpropagation algorithm and to provide good overall network performance with relatively short stagnation periods. …"
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    conferenceObject