Search Results - (( developing e bagi algorithm ) OR ( java implication based algorithm ))

The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Development of decentralized data fusion algorithm with optimized kalman filter. by Quadri, Sayed Abulhasan

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Rangka kerja keselamatan transaksi bagi pelanggan pelayan berasaskan perdagangan elektronik by Abdullah, Abdul Hanan

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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Adapting and enhancing mussels wandering optimization algorithm for supervised training of neural networks by Abusnaina, Ahmed A. A.

“…The major objective of this thesis is to achieve better performance in terms of convergence training time and classification accuracy for pattern classification by proposing new supervised training methods for Artificial Neural Networks (ANN) based on the MWO algorithm. Increasing the performance, especially in terms of classification accuracy led to an adapted version of the MWO; known as Enhanced-MWO (E-MWO) algorithm. …”
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Color recognition wearable device using machine learning for visually impaired person by Bolad, Tarek Mohamed, Nik Hashim, Nik Nur Wahidah, Mohamad Hanif, Noor Hazrin Hany

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Rekabentuk, Analisis Dan Perlaksanaan Sistem Ka Walan Meriam by Mat Amin, Zainal Abidin

“…The prediction algorithm has been developed using numerical method which tunes the time of flight and gun aiming point to obtain the point of intercept error within an acceptable maximum value or predetermined tuning iteration. …”
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Hybrid Models Of Fuzzy Artmap And Qlearning For Pattern Classification by Navan, Farhad Pourpanah

“…Strategi pruning dimasukkan bagi mengurangkan kekompleksan QFAM. Bagi mengatasi isu ketidak-telusan, Algoritma Genetik (GA) digunakan bagi mengekstrak hukum kabur if-then daripada QFAM. …”
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Model rangkaian neural bagi penentuan gaya pembelajaran pelajar berasaskan model Felder-Silverman by Mohd Faisal Ibrahim, Fatimah Az Zahra Azizan, Mohd Saiful Dzulkefly Zan

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Crash Recovery Support For Variable Strength T-Way Test Generation Strategy by Abdullah, Syahrul Afzal Che

“…As the test generation can potentially be long lasting processes (i.e. due to large selection of input parameters and values), TSGCR tolerates involuntary transaction failures (e.g. such as power failure or system errors) or voluntary execution suspension (e.g. to give ways for other computations) enabling restoration of state and data to the last consistent state. …”
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Beyond Grades - Predicting Programme Learning Outcomes with Multi-Output Regression in Malaysian Higher Education by Muhammad Noorazizi Abd Ghani, Istas Fahrurrazi Nusyirwan