بدائل البحث:
protein function » protein glycation (توسيع البحث)
algorithm loss » algorithm goa (توسيع البحث), algorithm aoa (توسيع البحث), algorithm its (توسيع البحث)
loss function » cost function (توسيع البحث)
protein function » protein glycation (توسيع البحث)
algorithm loss » algorithm goa (توسيع البحث), algorithm aoa (توسيع البحث), algorithm its (توسيع البحث)
loss function » cost function (توسيع البحث)
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Computational evluation of protein energy functions
منشور في 2014"…A protein is characterized by its 3D structure, which defines its biological function. …"
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conferenceObject -
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Evolutionary algorithm for protein structure prediction
منشور في 2010"…A protein is characterized by its 3D structure, which defines its biological function. …"
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conferenceObject -
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Scatter Search algorithm for Protein Structure Prediction
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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Evolutionary algorithm for predicting all-atom protein structure
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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conferenceObject -
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Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms
منشور في 2022"…The performance of three machine learning (ML) algorithms was assessed to predict the wild blueberry harvest losses on the ground. …"
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Scatter search for protein structure prediction. (c2008)
منشور في 2008احصل على النص الكامل
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masterThesis -
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Don't understand a measure? Learn it: Structured Prediction for Coreference Resolution optimizing its measures
منشور في 2017"…In this paper, we trade off exact computation for enabling the use and study of more complex loss functions for coreference resolution. Most interestingly, we show that such functions can be (i) automatically learned also from controversial but commonly accepted coreference measures, e.g., MELA, and (ii) successfully used in learning algorithms. …"
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Fragment-based computational protein structure prediction
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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conferenceObject -
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Stochastic optimal power flow framework with incorporation of wind turbines and solar PVs using improved liver cancer algorithm
منشور في 2024"…To avoid such issues and provide the optimal solution, there are some modifications are implemented into the internal structure of t‐LCA based on Weibull flight operator, mutation‐based approach, quasi‐opposite‐based learning and gorilla troops exploitation‐based mechanisms to enhance the overall strength of the algorithm to obtain the global solution. For validation of ILCA, the non‐parametric and the statistical analysis are performed using benchmark standard functions. …"
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Fragment based protein structure prediction. (c2013)
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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An Introduction to the Special Issue “Protein Glycation in Food, Nutrition, Health and Disease”
منشور في 2022"…The keynote speaker was Lasker Laureate Professor Kazutoshi Mori, speaking on the unfolded protein response, and there were sessions on: glycation in obesity, diabetes, and diabetic complications; glycation in food; glycation through the life course—from maternal bonding to aging; glycation in plants—physiology, function, and food security; glycation in the COVID-19 response; glycation analytics and chemistry; glycation in kidney disease, cancer, and mental health; glycation-related imaging, diagnostic algorithms, and therapeutics; and methods and models in glycation research. …"
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Scatter search metaheuristic for homology based protein structure prediction. (c2015)
منشور في 2015"…Determining a protein’s structure is a challenging goal in structural bioinformatics, offering important insight towards understanding the function of a protein. …"
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masterThesis -
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AGEomics Biomarkers and Machine Learning—Realizing the Potential of Protein Glycation in Clinical Diagnostics
منشور في 2022"…The term AGEomics is defined as multiplexed quantitation of spontaneous modification of proteins damage and other usually low-level modifications associated with a change of structure and function—for example, citrullination and transglutamination. …"
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A new reactive power optimization algorithm
منشور في 2003"…A new implementation for the particle swarm algorithm has been applied. The objective function of the proposed algorithm is to minimize the system active power loss. …"
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Particle swarm optimization approach for protein structure prediction in the 3D HP model
منشور في 2012"…Proteins fold, under the influence of several chemical and physical factors, into their 3D structures, which determine their biological functions and properties. …"
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article