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model function » model obfuscation (Expand Search)
algorithm its » algorithm _ (Expand Search), algorithm fa (Expand Search), algorithm goa (Expand Search)
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model function » model obfuscation (Expand Search)
algorithm its » algorithm _ (Expand Search), algorithm fa (Expand Search), algorithm goa (Expand Search)
its function » cost function (Expand Search)
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From Collatz Conjecture to chaos and hash function
Published 2023“…The effectiveness and dependability of the proposed hash function are evaluated by comparing it with two well-known hash algorithms, namely SHA-3 and SHA-2, as well as several other Chaos-based hash algorithms. …”
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Scatter search for protein structure prediction. (c2008)
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masterThesis -
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Computational evluation of protein energy functions
Published 2014“…A protein is characterized by its 3D structure, which defines its biological function. …”
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conferenceObject -
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Cross entropy error function in neural networks
Published 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 -
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Multi-Target Tracking Resources Allocation Using Multi-Agent Modeling and Auction Algorithm
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Application of Red Deer Algorithm in Optimizing Complex functions
Published 2021“…The Red Deer algorithm (RDA), a recently developed population-based meta-heuristic algorithm, is examined in this paper with the optimization task of complex functions. …”
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8
Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization
Published 2024“…The Extended Kalman Filter (EKF) is used for state estimation with proper clutter and detection models. Since we use Multi-objects to track, the Joint Probability Distribution Function (JPDA) estimates the best measurement values with a preset gating threshold. …”
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Evolutionary algorithm for protein structure prediction
Published 2010“…A protein is characterized by its 3D structure, which defines its biological function. …”
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conferenceObject -
10
A fuzzy basis function network for generator excitation control
Published 1997“…The orthogonal least squares learning algorithm is developed for designing an adequate and parsimonious FBFN model. …”
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Improving the Secure Socket Layer Protocol by modifying its Authentication function
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conferenceObject -
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Design and Implementation of an Advanced Control and Guidance Algorithm of a Single Rotor Helicopter
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doctoralThesis -
14
Second-order conic programming for data envelopment analysis models
Published 2022“…This paper constructs a second-order conic optimization problem unifying several DEA models. Moreover, it presents an algorithm that solves the former problem, and provides a MATLAB function associated with it. …”
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15
Genetic and heuristic algorithms for regrouping service sites. (c2000)
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masterThesis -
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A novel IoT intrusion detection framework using Decisive Red Fox optimization and descriptive back propagated radial basis function models
Published 2024“…For this purpose, a combination of Decisive Red Fox (DRF) Optimization and Descriptive Back Propagated Radial Basis Function (DBRF) classification are developed in the proposed work. …”
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Economic load dispatch using memetic sine cosine algorithm
Published 2022“…SCA is a recent population based optimizer turned towards the optimal solution using a mathematical-based model based on sine and cosine trigonometric functions. …”
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Real-Time Implementation of High Performance Control Scheme for Grid-Tied PV System for Power Quality Enhancement Based on MPPC-SVM Optimized by PSO Algorithm
Published 2018“…<p dir="ltr">This paper proposes a high performance control scheme for a double function grid-tied double-stage PV system. It is based on model predictive power control with space vector modulation. …”
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Don't understand a measure? Learn it: Structured Prediction for Coreference Resolution optimizing its measures
Published 2017“…The accurate model comparison on the standard CoNLL-2012 setting shows the benefit of more expressive loss functions.…”