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41
Evolutionary algorithm for protein structure prediction
منشور في 2010احصل على النص الكامل
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conferenceObject -
42
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43
Android Malware Detection Using Machine Learning
منشور في 2024"…It was found that SVM using radial basis function (RBF) kernel achieved the highest performance with an accuracy of 99.5%. …"
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44
Accuracy of an internationally validated genetic-guided warfarin dosing algorithm compared to a clinical algorithm in an Arab population
منشور في 2024"…To compare the accuracy of a clinical warfarin dosing (CWD) versus genetic warfarin dosing algorithms (GWD) during warfarin initiation. </p><h3>Methods</h3><p dir="ltr">A cohort of Arab patients newly starting on warfarin had their dose calculated using CWD published in www.warfarindosing.org and were followed for 1 month. …"
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45
A new reactive power optimization algorithm
منشور في 2003"…This paper presents an algorithm for optimizing reactive power using particle swarm algorithm. …"
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46
Metaheuristic Algorithm for State-Based Software Testing
منشور في 2018"…We formulate the testing problem as an optimization problem and use a simulated annealing (SA) metaheuristic algorithm to generate test cases as sequences of events while keeping the test suite size reasonable. …"
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article -
47
Mobile robots obstacles avoidance using dynamic window approach
منشور في 2018احصل على النص الكامل
doctoralThesis -
48
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49
Consensus-Based Distributed Formation Control of Multi-Quadcopter Systems: Barrier Lyapunov Function Approach
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. …"
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50
Evolutionary algorithm for predicting all-atom protein structure
منشور في 2011"…We present an improved version of a scatter search (SS) algorithm for predicting all-atoms protein structures using a recent energy model. …"
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conferenceObject -
51
A new genetic algorithm approach for unit commitment
منشور في 1997"…The problem under consideration includes two linked subproblems: a combinatorial optimization problem and a nonlinear programming problem. The former is solved using the proposed genetic algorithm while the latter problem is solved via a quadratic programming routine. …"
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52
Evolutionary algorithms for VLSI multi-objective netlist partitioning
منشور في 2006"…A series of experiments are performed to evaluate the efficiency of the algorithms. ISCAS-85/89 benchmark circuits are used and experimental results are reported and analyzed to compare the performance of GA, TS and SimE. …"
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53
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54
Simultaneous stabilization of multimachine power systems viagenetic algorithms
منشور في 1999"…This paper demonstrates the use of genetic algorithms for the simultaneous stabilization of multimachine power systems over a wide range of operating conditions via single-setting power system stabilizers. …"
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article -
55
Distributed dimension reduction algorithms for widely dispersed data
منشور في 2002احصل على النص الكامل
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conferenceObject -
56
An Evolutionary Algorithm for the Allocation Problem in High-Level Synthesis
منشور في 2005"…The system handles multicycle functional units as well as structural pipelining. The proposed method was implemented using C++ on a Linux workstation. …"
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57
A neural networks algorithm for data path synthesis
منشور في 2003"…The method formulates the allocation problem using the clique partitioning problem, an NP-complete problem, and handles multicycle functional units as well as structural pipelining. …"
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58
A Comparative Study of Elgamal Based Cryptographic Algorithms
منشور في 2004"…In this work we implement the classical and modified ElGamal cryptosystem to compare and to test their functionality, reliability and security. To test the security of the algorithms we use a famous attack algorithm called Baby-Step-Giant algorithm which works in the domain of natural integers. …"
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conferenceObject -
59
Optimum Track to Track Fusion Using CMA-ES and LSTM Techniques
منشور في 2024"…An objective function utilizing the covariance of the fused tracks is used by the first algorithm while a cost function based on the Kullback-Leibler (KL) divergence measure is used in the second case for training the LSTM. …"
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60
Distributed optimal coverage control in multi-agent systems: Known and unknown environments
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. …"