Search Results - (( developing refined patterns algorithm ) OR ( java implication based algorithm ))

Development of a scaled conjugate gradient algorithm for significant RF neural signal processing by Mohd Norden, Muhammad Farid Akmal, Mohd Isa, Roshakimah, Mohd Isa, Mohd Roshalizi, S. Abdul Kadir, Ros Shilawani, Md Azli, Muhammad Hariz, Muhammad Akram, Amir Syarif

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Enhanced grey wolf optimisation algorithm for feature selection in anomaly detection by Almazini, Hussein

“…The third modification improves the controlled parameter of the MBGWO algorithm using indicators from the search process to refine the solution. …”
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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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Hybrid ant colony system algorithm for static and dynamic job scheduling in grid computing by Alobaedy, Mustafa Muwafak Theab

“…The proposed algorithms were evaluated against twelve metaheuristic algorithms in static (expected time to compute model) and dynamic (distribution pattern) grid computing environments. …”
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Prediction of COVID-19 outbreak using Support Vector Machine / Muhammad Qayyum Mohd Azman by Mohd Azman, Muhammad Qayyum

“…Looking ahead, future works may explore refining the SVM model and incorporating additional features for improved accuracy, and the ongoing iterative process involves continuous validation and adaptation of the model to evolving data patterns and emerging challenges in pandemic management. …”
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Multi-objective genetic algorithm driven formulation of a plant-based probiotic premix powder: Nutrient-cost modeling, microstructural characterization and sensory validation by Tang, Ping, Cui, Ming Yang, Mohsin, Aliah Zannierah, Meor Hussin, Anis Shobirin, Juhari, Nurul Hanisah

“…The novelty of this study lies in integrating multi-objective optimization, integer-feasible formulation refinement, and experimental validation into a single reproducible and cost-aware framework, offering a scalable strategy for the development of nutritionally optimized plant-based probiotic powders.…”
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Face recognition using eigenfaces and smooth support vector machine by Mhd, Furqan

“…Such reformulation is a SSVM. A Newton-Armijo algorithm for solving the SSVM converges globally and quadratically. …”
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Face recognition using eigenfaces and smooth support vector machine by Mhd, Furqan

“…Such reformulation is a SSVM. A Newton-Armijo algorithm for solving the SSVM converges globally and quadratically. …”
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Model Predictive Controller (MPC) Design for an UAV Quadcopter in Windy Critical Environment by Mustapha Amine, Sadi

“…This research enhances UAV navigation effectiveness and stability through the development of a robust controller—specifically, a cascade Model Predictive Control (MPC) algorithm, optimized for continuous gust conditions as modelled by the Dryden wind turbulence approach. …”
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Real time vein visualization using near-infrared imaging by May, Y. H., Ernawan, Ferda

“…Evolutionary prototyping method is used to develop the system and to ensure the quality of the final system through a few prototype refinement cycles. …”
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Disparity map algorithm using hierarchical of bitwise pixel differences and segment-tree from stereo image by Zainal Azali, Muhammad Nazmi

“…The algorithm development can be categorized into local, global, and semi-global methods. …”
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A spatial decision support system framework for optimization of cropping pattern and water resources allocation at pasargard plains, fars province, Iran by Ghasemi, Mohammad Mehdi

“…A unit response matrix groundwater model was coupled with a modified version of Genetic Algorithm (GA) in order to optimize cropping patterns and water allocation decisions. …”
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New bio-inspired barnacle optimizers based least-square support vector machine for time-series prediction of pandemic outbreaks by Marzia, Ahmed

“…Lastly, this study model various factors influencing the transmission dynamics of COVID-19 within the BMO and GBO variants, refining their predictive ability. The study demonstrates GBO's superiority over previous algorithms, including BMO and its variants, and other established methods. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Development and validation of a problem-solving instrument (multiple-choice questions) for computational thinking among trainee teachers in the Klang Valley, Malaysia by Abdul Hamed, Ahmad Sarji, Wong, Su Luan, Abdul Zani, Mohd Zariat

“…Malaysia has recognized this need by embedding CT into its national curriculum, emphasizing key components such as abstraction, decomposition, pattern recognition, algorithms, logical reasoning, and evaluation. …”
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Improving automatic forced alignment for phoneme segmentation in Quranic recitation by Alqadasi, Ammar Mohammed Ali, Khedher, Akram M Z M, Sunar, Mohd Shahrizal, Hj Salam, Md. Sah, Abdulghafor, Rawad, Khaled, Nashwan Abdo

“…These enhancements encompass the adaptation of an acoustic model tailored for Qur’anic recitation as preprocessing and culminate in the development of an algorithm aimed at refining forced alignment based on the phonetic nuances of the Qur’an. …”
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Verification of volume-of-fluid (VOF) simulation for thin liquid film applications by Balachandran S., Shuaib N.H., Hasini H., Yusoff M.Z.

Examining the potential of machine learning for predicting academic achievement: A systematic review by Nazir, M., Noraziah, Ahmad, Rahmah, M., Sharma, Aditi

“…Machine learning (ML) algorithms have gained significant popularity in recent years. …”
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Examining the potential of machine learning for predicting academic achievement: A systematic review by Nazir, M., Noraziah, Ahmad, Rahmah, M., Sharma, Aditi

“…Machine learning (ML) algorithms have gained significant popularity in recent years. …”
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Short-term Gini coefficient estimation using nonlinear autoregressive multilayer perceptron model by Megat Syahirul Amin, Megat Ali, Azlee, Zabidi, Nooritawati, Md Tahir, Ihsan, Mohd Yassin, Eskandari, Farzad, Azlinda, Saadon, Mohd Nasir, Taib, Abdul Rahim, Ridzuan

“…Despite its standard annual computation, impeded by logistical hurdles and the gradual transformation of income inequality, we suggest that short-term forecasting of the Gini coefficient could offer instantaneous comprehension of shifts in income inequality during swift transitions, such as variances due to seasonal employment patterns in the expanding gig economy. System Identification (SI), a methodology utilized in domains like engineering and mathematical modeling to construct or refine dynamic system models from captured data, relies significantly on the Nonlinear Auto-Regressive (NAR) model due to its reliability and capability of integrating nonlinear functions, complemented by contemporary machine learning strategies and computational algorithms to approximate complex system dynamics to address these limitations. …”
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