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Early autism spectrum disorder detection using machine learning / Muhammad Shahmi Shahron Nizan
Published 2023“…The project follows a modified waterfall approach, focusing on creating a user-friendly interface and integrating the Random Forest Classification Algorithm for accurate detection. …”
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Integrated supply chain planning under uncertainty using an improved stochastic approach
Published 2011“…This paper proposes an integrated model and a modified solution method for solving supply chain network design problems under uncertainty. …”
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Modified firefly algorithm for directional overcurrent relay coordination in power system protection / Muhamad Hatta Hussain
Published 2020“…The objectives of the studies are to develop a new optimization technique termed as Modified Firefly Algorithm (MFA) for minimizing the relay operating time, to develop a Multi-Objective Modified Firefly Algorithm (MOMFA) for minimizing both the total relay operating time and relay coordination time and to develop an integrated optimal predictor termed as Modified Firefly Algorithm-Artificial Neural Network (MFA-ANN) for accurate prediction of relay operating time. …”
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4
Parallel implementation of genomic sequences classification using modified gabor wavelet transform on multicore systems
Published 2012“…Furthermore, the efficiency of the proposed algorithm will be analyzed using Amdahl’s law.…”
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Obstacles Avoidance Mobile Robot
Published 2007“…The challenge is to integrate this algorithm with some hardware configuration in order to complete the project.…”
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Solving the integrated inventory supply chain problems using meta-heuristic methods / Seyed Mohsen Mousavi
Published 2018“…A Modified Particle Swarm Optimization (MPSO) algorithm, a Genetic Algorithm (GA), a modified fruit fly optimization algorithm (MFOA) and a simulated annealing (SA) algorithm were used to find the optimal solution. …”
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Parallel computation of maass cusp forms using mathematica
Published 2013“…To facilitate the complete pullback process of this group, a point locater algorithm is developed. In this work, we present three different pullback algorithms for the surfaces we considered and carefully integrate them into our Maass cusp form algorithm. …”
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Modified ant colony optimization algorithms for deterministic and stochastic inventory routing problems / Lily Wong
Published 2018“…The computational results also show that the algorithms of population based ACO performs better than the algorithms of non-population based ACO. …”
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10
Development of an integrated scheduling model for handling equipment in automated port container terminals
Published 2014“…In this research, a mixed-integer programming model is developed which considers the integration of ALVs, Quay Cranes and Yard Cranes at automated container terminals with unlimited buffer spaces. …”
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11
Development of a new approach for deterministic supply chain network design
Published 2008“…Consequently, this problem is a binary mixed integer linear programming problem. In this paper, a modified version of Benders’ decomposition is proposed to solve the model. …”
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Improve in speed and the convergence in training process for the purpose of system modeling using Hybrid Multilayer Perceptron (HMLP) neural network / Farida Karman
Published 2008“…The HMLP network is trained using a Modified Recursive Prediction Error (MRPE) algorithm to obtain the appropriate parameter for the network. …”
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An evaluation of Monte Carlo-based hyper-heuristic for interaction testing of industrial embedded software applications.
Published 2020“…Hyper-heuristic is a new methodology for the adaptive hybridization of meta-heuristic algorithms to derive a general algorithm for solving optimization problems. …”
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Solving a multi-period inventory routing problem with stochastic unstationary demand rates
Published 2022“…The computational results show that the algorithms that implement this modified formulation can achieve a better optimization result. …”
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Solving a multiperiod inv entory routing problem with stochastic unstationary demand rates
Published 2022“…The computational results show that the algorithms that implement this modified formulation can achieve a better optimization result. …”
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Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System
Published 2008“…The simulation algorithms of the rainfall-runoff model have operated on grid bases compatible with the MATLAB programming language, which has been used to write instructions to many grid-based operations. …”
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A study of the heat transfer in hydrogen fueled internal combustion engine
Published 2012“…A novel subroutine was integrated to simulate the hydrogen-injection process. …”
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Thesis