Search Results - (( using function _ algorithm ) OR ( basic generation using algorithm ))

Data depublication using : Hashing algorithm / Naimah Nayan by Nayan, Naimah

“…The hash value is generated by using hashing algorithm such as Message Digest 5 (MD5) and Secure Hashing Algorithm 1 (SHA-1). …”
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A new image scrambling approach using block-based on shifted algorithm by Abugharsa, Ahmed Bashir, Hasan Basari, Abd Samad, Almangush, Hamida

“…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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Real-time algorithmic music composition application. by Yap, Alisa Yi Hui

“…The motivation of this project is to provide a solution to problems including the high cost and time consumption for composing music, the complexity of music composition, and the limitations of using copyrighted music. 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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A new image scrambling technique using block rotation algorithm based on Rubik’s cube by Abugharsa, Ahmed Bashir, Hasan Basari, Abd Samad, Almangush, Hamida

“…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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Effort Estimation Model for Function Point Measurement by Koh, Tieng Wei

“…This research work has generated an algorithmic effort estimation model for function points measurement. …”
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Studies on flat CORDIC implementation in field programmable gate arrays (FPGA) / Meera Subramaniam by Meera , Subramaniam

“…The CORDIC algorithm has been widely researched as an efficient hardware algorithm for the computation of trigonometric, hyperbolic and transcendental functions. …”
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Augmentation of basic-line-search and quick-simplex-method algorithms to enhance linear programming computational performance by Nor Azlan, Nor Asmaa Alyaa

“…The LP’s application is need to be further computed with a technique and Simplex algorithm is the one that commonly used. The Simplex algorithm has three stages of computation namely initialization, iterative calculation and termination. …”
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Stochastic process and tutorial of the African buffalo optimization by Odili, Julius Beneoluchi, Noraziah, Ahmad, Alkazemi, Basem, Zarina, M.

“…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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Stochastic process and tutorial of the African bufalo optimization by Odili, Julius Beneoluchi, Noraziah, Ahmad, Alkazemi, Basem Y., M., Zarina

“…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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Automated bilateral negotiation with incomplete information in the e-marketplace. by Jazayeriy, Hamid

“…The MGT algorithm is useful to explore the properties of the Pareto-optimal offers. …”
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Backtracking search algorithm for optimal power dispatch in power system / Mostafa Modiri Delshad by Mostafa, Modiri Delshad

“…Backtracking search algorithm (BSA) as the new evolutionary technique of optimization is used for solving the problems. …”
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Fuzzy adaptive teaching learning-based optimization for solving unconstrained numerical optimization problems by Din, Fakhrud, Khalid, Shah, Fayaz, Muhammad, Gwak, Jeonghwan, Kamal Z., Zamli, Mashwani, Wali Khan

“…The performance of the fuzzy adaptive teaching learning-based optimization is evaluated against other metaheuristic algorithms including basic teaching learning-based optimization on 23 unconstrained global test functions. …”
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Penggunaan penggugusan subtraktif bagi menjana peraturan kabur by Agus Priyono, Muhammad Ridwan, Ahmad Jais Alias, Riza Atiq O. K. Rahmat, Azmi Hassan, Mohd. Alauddin Mohd. Ali

“…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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Exploration of educational building with cultural elements using shape grammar by Sebastian, Heng Junjie

“…Shape grammars are used for developing computational algorithms in production systems that generate geometric shapes. …”
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Tasks Distribution In Driver Scheduling Using Dynamic Set Of Bandwidth In Harmony Search Algorithm With 2-Opt by Shaffiei, Zatul Alwani

“…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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Nomadic people optimizer (NPO) for large-scale optimization problems by Mohamd Salih, Sinan Qahtan

“…The basic component of the algorithm consists of several clans and each clan searches for the best place (or best solution) based on the position of their leader. …”
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Improving Attentive Sequence-to-Sequence Generative-Based Chatbot Model Using Deep Neural Network Approach by Wan Solehah, Wan Ahmad

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Hybrid-discrete multi-objective particle swarm optimization for multi-objective job-shop scheduling by Anuar, Nurul Izah

“…This research first proposes an improved continuous MOPSO to address the rapid clustering problem that exists in the basic PSO algorithm using three improvement strategies: re-initialization of particles, systematic switch of best solutions and mutation on global best selection. …”
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The basics of multi-layer feedforward neural networks / Nurul Aityqah Yaccob and Farizuwana Akma Zulkifle by Yaccob, Nurul Aityqah, Zulkifle, Farizuwana Akma

“…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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Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining. by Saeed, Walid

“…Total rules number, rules length and rules accuracy for the generation rules are recorded. The accuracy for rules and classification resulted from the TIP method are compared with other methods such as Standard Integer Programming (SIP) and Decision Related Integer Programming (DRIP) from Rough Set, Genetic Algorithm (GA), Johnson reducer, HoltelR method, Multiple Regression (MR), Neural Network (NN), Induction of Decision Tree Algorithm (ID3) and Base Learning Algorithm (C4.5); all other classifiers that are mostly used in the classification tasks. …”
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