Search Results - (( developing small competitive algorithm ) OR ( java implication based algorithm ))

Inventory tracker with estimation by Beh, Wei Jun

“…In today's rapidly evolving business landscape, small businesses must embrace digital transformation to remain competitive. …”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Alternative method for economic dispatch utilizing grey wolf optimizer by Wong, Lo Ing

“…Although several optimization methodologies have been developed for solving ED problems, the complexity of the task reveals the necessity for development of efficient algorithms to accurately locate the optimum solution. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Monitoring the drying process of glutinous rice using hyperspectral imaging coupled with multivariate analysis by Jimoh, Kabiru Ayobami, Hashim, Norhashila, Shamsudin, Rosnah, Che Man, Hasfalina, Jahari, Mahirah

“…The redundant wavelength was removed and the wavelength features that are strongly associated with the moisture content of glutinous rice were chosen using the competitive adaptive reweighted sampling algorithm (CARS). …”
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An Improved Rectangle Lightweight Block Cipher Based On 3d Rotation Method by Abdul Alif Bin Zakaria

Customer purchase prediction and product recommendations by Wong, Ji Hin

“…Besides, both Apriori or the FP-growth algorithms are compared and find out that Apriori is faster for small datasets while FP-Growth is more efficient with large datasets due to its lower memory consumption. …”
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Development of real and reactive power allocation methods for deregulated power system by Shareef, Hussain

“…The choice of the chosen algorithm depends on their limitations and suitability. …”
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A framework of modified adaptive neuro-fuzzy inference engine by Hossen, Md. Jakir

“…The Takagi-Sugeno-Kang (TSK) type fuzzy inference system was chosen and constructed by an automatic generation of clusters as well as membership functions and minimal rules through the use of hybrid fuzzy clustering and the modified apriori algorithms respectively. The developed TSK type fuzzy inference engine is called modified adaptive fuzzy inference engine (MAFIE) and its parameters were then adjusted by the hybrid learning algorithm using adaptive neural network architecture towards improved performance which is called MANFIE. …”
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Parallel Diagonally Implicit Runge-Kutta Methods For Solving Ordinary Differential Equations by Din, Ummul Khair Salma

“…Comparisons on numerical results to existing methods show a competitive efficiency when solving small systems of stiff ODEs. …”
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Aeronautical revenues optimisation model (AROM) for regional airports via airside operations stochastic baseline matrix analysis / Wan Mazlina Wan Mohamed by Wan Mohamed, Wan Mazlina

“…Preliminary model was developed based on the determinants and the model was analysed using Bayesian Network theory. …”
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Defect Detection And Classification Of Silicon Solar Wafer Featuring Nir Imaging And Improved Niblack Segmentation by Mahdavipour, Zeinab

“…In this study a machine vision scheme for detecting micro-cracks and other defects in polycrystalline and monocrystalline solar wafer manufacturing is proposed and developed. Micro-crack inspection is very challenging, because this type of defect is very small and completely invisible to the naked eye. …”
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تعلم اللغة العربية بمساعدة الحاسب عن طريق الكلمات المتشابهة = Computer assisted language learning for Arabic using cognates by Khedher, Akram M Z M, Senan Mahmood, Shayma’a

“…The analytical approach will be used to study the methods and algorithms used to find similarities between different languages, and then developing a new algorithm to find similarities between Arabic and English languages, and this method is considered one of the Natural Language Processing techniques.…”
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