Search Results - (( developing small integration algorithm ) OR ( java implication based algorithm ))
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Magnetic attitude control options for earth pointing small satellite
Published 2011“…The developed control algorithms are modeled using the MATLAB SIMULINK codes. …”
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AI recommendation penetration testing tool for cross-site scripting: support vector machine algorithm
Published 2025“…This research introduces a new approach to enhancing cybersecurity by integrating Support Vector Machine (SVM) algorithms with penetration testing to develop a recommendation system focused on Cross-Site Scripting (XSS) attack detection. …”
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A deep reinforcement learning hybrid algorithm for the computational discovery and characterization of small proteins utilizing mycobacterium tuberculosis as a model
Published 2025“…This study presents the development and evaluation of a novel hybrid machine learning algorithm that integrates the strengths of Random Forest and Gradient Boosting models to enhance the prediction of smORFs. …”
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Developing a small footprint and low-cost solar charge controller
Published 2025“…Then, a board layout was developed with a small footprint with a size of 63.5mm x 57mm. …”
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Inventory tracker with estimation
Published 2024“…Key features include inventory tracking, estimation algorithms based on historical data, and integration with communication tools like WhatsApp for seamless order management. …”
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Improved Bat Algorithm for faster convergence in solving optimisation problem
Published 2021“…Besides that, IBA was found comparable with existing variants of BA such as the IBA developed from the previous researcher in the year 2013 and the Hybrid Self-Adaptive Bat Algorithm (HSABA) developed in the year 2014. …”
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Numerical analysis
Published 2008“…In the numerical solution of differential equations, where the numerical approximation is developed in small time-steps, there are typically three challenges. …”
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Secured route optimization in mobile IPv6 wireless networks in terms of data integrity
Published 2008“…This algorithm is able to detect and prevent the attacker from modifying the data with using an encryption algorithm at a cost of a small increase in delay. …”
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Forecasting time series data using hybrid grey relational artificial neural network and auto regressive integrated moving average model
Published 2007“…To validate the performance of the proposed model, small and large scale data sets are used. The forecasting performance was compared with several models, and these include: individual models (ARIMA, multiple regression, grey relational articial neural network), several hybrid models (MARMA, MR_ANN, ARIMA_ANN), and articial neural network (ANN) trained using levenberg marquardt algorithm. …”
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Early autism spectrum disorder detection using machine learning / Muhammad Shahmi Shahron Nizan
Published 2023“…The project follows a modified waterfall approach, focusing on creating a user-friendly interface and integrating the Random Forest Classification Algorithm for accurate detection. …”
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A Voting Technique Of Multilayer Perceptron Ensemble For Classification Application
Published 2014“…In this research, an integrated system of Multi-Layer Perceptron Ensemble (MLPE) consisting of an MLPE and a new voting algorithm has been developed to increase classification accuracy and reduce the number of reject class cases. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Classification of polymorphic virus based on integrated features
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Quasi linear algorithm for modelling shoreline change from AIRSAR/POLSAR polarized data
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Handheld devices 3D video streaming compression algorithm / Mohamad Taib Miskon, Hamidah Jantan and Wan Ahmad Khusairi Wan Chek
Published 2016“…In recent years, a Three Dimensional Discrete Cosine Transform (3D-DCT) coding algorithm has been developed for compression of still 3D integral images [8-10], The main benefit of using transform coding is that integral 3D images are inherently divided into small non-overlapping…”
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Research Reports -
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Digital Surface Model (DSM) Construction and Flood Hazard Simulation for Development Plans in Naga City, Philippines
Published 2007“…Finally the Digital Surface Model (DSM) of the study area was constructed by integrating both man-made and natural terrains. The DSM was also generated to simulate the new developments in Naga City. …”
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Customer purchase prediction and product recommendations
Published 2024“…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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Final Year Project / Dissertation / Thesis
