Search Results - (( using function a algorithm ) OR ( basic generation using algorithm ))
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1
A new image scrambling approach using block-based on shifted algorithm
Published 2013“…The first part of the algorithm aims to build a shifted table using hash function within scramble phase and descramble phase to generate an scrambled (shifted) image and the retrieved image. …”
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2
Real-time algorithmic music composition application.
Published 2022“…The developed system shall be able generated music based on a genetic algorithm, where users can define basic parameters including the instrument used to play the music, tempo, number of generated notes, and the number of measures to generate. …”
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Final Year Project / Dissertation / Thesis -
3
A new image scrambling technique using block rotation algorithm based on Rubik’s cube
Published 2013“…The first part of the algorithm aims to build a rotation table using hash function within scramble phase and descramble phase to generate a scrambled (rotated) image and the retrieved image. …”
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4
Effort Estimation Model for Function Point Measurement
Published 2007“…This research work has generated an algorithmic effort estimation model for function points measurement. …”
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5
Studies on flat CORDIC implementation in field programmable gate arrays (FPGA) / Meera Subramaniam
Published 2004“…This work presents a modification to the previous Signed Digit (SD) Generation algorithm and a comparison with the previous method. …”
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6
Stochastic process and tutorial of the African buffalo optimization
Published 2022“…Again, our ability to describe the algorithm’s basic flow, stochastic and data generation processes in a language so simple that any non-expert can appreciate and use as well as the practical implementation of the popular benchmark Rosenbrock and Shekel Foxhole functions with the novel algorithm will assist the research community in benefiting maximally from the contributions of this novel algorithm. …”
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7
Augmentation of basic-line-search and quick-simplex-method algorithms to enhance linear programming computational performance
Published 2021“…The LP’s application is need to be further computed with a technique and Simplex algorithm is the one that commonly used. …”
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8
Stochastic process and tutorial of the African bufalo optimization
Published 2022“…Again, our ability to describe the algorithm’s basic flow, stochastic and data generation processes in a language so simple that any non-expert can appreciate and use as well as the practical implementation of the popular benchmark Rosenbrock and Shekel Foxhole functions with the novel algorithm will assist the research community in benefiting maximally from the contributions of this novel algorithm. …”
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9
Automated bilateral negotiation with incomplete information in the e-marketplace.
Published 2011“…The MGT algorithm is useful to explore the properties of the Pareto-optimal offers. …”
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10
Backtracking search algorithm for optimal power dispatch in power system / Mostafa Modiri Delshad
Published 2016“…Backtracking search algorithm (BSA) as the new evolutionary technique of optimization is used for solving the problems. …”
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11
Fuzzy adaptive teaching learning-based optimization for solving unconstrained numerical optimization problems
Published 2022“…As the 50-50 probabilities for exploitation and exploration in the basic teaching learning-based optimization algorithm may be counterproductive, the Mamdani-type fuzzy inference system of the new algorithm takes these measures as a crisp inputs and generates selection as crisp output to choose either exploitation or exploration based on the current search requirement. …”
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Exploration of educational building with cultural elements using shape grammar
Published 2013“…Shape grammars are used for developing computational algorithms in production systems that generate geometric shapes. …”
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Undergraduates Project Papers -
13
Tasks Distribution In Driver Scheduling Using Dynamic Set Of Bandwidth In Harmony Search Algorithm With 2-Opt
Published 2021“…Based on previous research using one of metaheuristic algorithms known as harmony search (HS), the generated schedule was still not optimum and cannot be solved maximally as there were too much repetitions of task (shift and route) occurred among drivers. …”
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14
Penggunaan penggugusan subtraktif bagi menjana peraturan kabur
Published 2005“…Depending on the system, the assessment of each possibility input might be not necessary if this very seldom or never occur. By using the fuzzy clustering algorithm, membership function could be counted based on two possible clustering methods. …”
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15
Nomadic people optimizer (NPO) for large-scale optimization problems
Published 2019“…NPO provides two steps for exploitation part, while the exploration is performed using another step. The local search of NPO is implemented using a unique distribution formula, while the global search ability contains a levy flight equation which generates a step for moving the families towards the new positions. …”
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The basics of multi-layer feedforward neural networks / Nurul Aityqah Yaccob and Farizuwana Akma Zulkifle
Published 2025“…The coefficients assigned to these predictors are called "weights," and the forecasts are generated through a linear combination of the inputs. The weights are selected in the neural network framework using a "learning algorithm" that minimizes a "cost function," such as the mean squared error (MSE). …”
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Monograph -
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Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining.
Published 2005“…The TIP model is then applied to the reduct to generate the default rules, which in turn are used to classify unseen objects with a satisfying accuracy. …”
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19
Hybrid-discrete multi-objective particle swarm optimization for multi-objective job-shop scheduling
Published 2022“…The experimentations of the proposed algorithm are conducted using existing benchmark instances and a published case study on an energy-efficient job-shop model. …”
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20
Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad
Published 2018“…This learning algorithm represents an automatic generation of membership functions and rules from the data. …”
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Thesis