Search Results - (( developing states practices algorithm ) OR ( java implication based algorithm ))

Hybrid DE-PEM algorithm for identification of UAV helicopter by Tijani, Ismaila, Akmeliawati, Rini, Legowo, Ari, Budiyono, Agus, Abdul Muthalif, Asan Gani

“…Practical implications – The identification algorithm is expected to facilitate the required model development for model-based control design for autonomous helicopter development. …”
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Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems by Kek, Sie Long

“…Instead of solving the original optimal control problem, the model-based optimal control problem is solved. The algorithm developed in this thesis contains three sub-algorithms. …”
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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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Evaluation of a spacecraft attitude and rate estimation algorithm by Abdullah, Mohammad Nizam Filipski, Varatharajoo, Renuganth

“…Practical implications: Because the simulation set‐up is clearly stated, the results of this evaluation can be used as a benchmark for other estimation algorithms. …”
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The development of deformable bodies collision response algorithm for interactive virtual environment by Mohd. Shuaib, Norhaida, Bade, Abdullah, Daman, Daut, Sunar, Mohd. Shahrizal

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General algorithms for 3-D motion of a non-planar body in a steady-state force field by M.Pratt, Ronald, Khairil Mazwan Mohamad Zaini

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Simulated Kalman Filter algorithms for solving optimization problems by Nor Hidayati, Abdul Aziz

“…Its optimality has inspired the development of a metaheuristic algorithm called Heuristic Kalman Algorithm (HKA) in 2009. …”
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Simulation of shortest path using a-star algorithm / Nurul Hani Nortaja by Nurul Hani , Nortaja

“…It has been applied in many practical applications. For most of the cases of the shortest route finding, the Dijkstra's algorithm is known to be an optimal search algorithm. …”
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Hybrid fuzzy-sliding mode observer design for estimation and advanced control of an ethylene polymerization process / Jarinah Mohd Ali by Jarinah , Mohd Ali

“…It is always important to determine those unknown variables before developing state feedback laws for control, preventing process disruptions and plant shutdowns. …”
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Focal and non-focal epilepsy localization: a review by Hussein, Ahmed Faeq, N., Arunkumar, Gomes, Gorakanage Arosha Chandima, Alzubaidi, Abbas K., Habash, Qais Ahmed, Granados, Luz Santamaria, Moreno, Juan Francisco Mendoza, Gonzalez, Gustavo Ramirez

“…The existing algorithms were compared and the need for implementing a practical and reliable new algorithm is highlighted. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Genetic Algorithm for Forecasting Bioinformatic Outcomes of Mutation-induced Cowpeas for Sustainable Development by Kehinde, Okewu, Emmanuel, Okewu, Wong, Ling Shing, Siti Sarah, Maidin

“…To demonstrate the practicality of using artificial intelligence (AI) to address these problems, the genetic algorithm is applied to genetic engineering (genetic mutation) of cowpea in a crop improvement program to generate useful bioinformatic information for further improvement of the crop. …”
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Priority-based vehicle-to-grid scheduling for minimization of power grid load variance by Mohd Syahmi Hashim, Mr.

“…This thesis presents an optimal priority-based Vehicleto-Grid scheduling with the objective to minimize the grid load variance. The developed algorithm also optimizes the amount of charging/discharging power based on the electric vehicle battery's state-of-charge. …”

A Bayesian parameter learning procedure for nonlinear dynamical systems via the ensemble Kalman filter by Ur Rehman, M.J., Dass, S.C., Asirvadam, V.S.

“…Based on observations made from stochastic dynamical systems, we consider the issue of parameter learning, and a related state estimation problem. We develop a Markov Chain Monte Carlo (MCMC) algorithm, which is an iterative method, for parameter inference. …”
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Towards a unified image quality assessment technique for cross-content image processing applications by Baqar, Mohtashim *

“…In summary, the study develops algorithms for accurate image quality prediction, refining images, and enhancing visual quality. …”
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An improved particle swarm optimization (PSO) based MPPT for PV With reduced steady-state oscillation by Ishaque, K., Salam, Z., Amjad, M., Mekhilef, Saad

“…This paper proposes an improved maximum power point tracking (MPPT) method for the photovoltaic (PV) system using a modified particle swarm optimization (PSO) algorithm. The main advantage of the method is the reduction of the steadystate oscillation (to practically zero) once the maximum power point (MPP) is located. …”
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Coordinate-Descent Adaptation over Hamiltonian Multi-Agent Networks by Azam Khalili, Vahid Vahidpour, Amir Rastegarnia, Ali Farzamnia, Teo, Kenneth Tze Kin, Saeid Sanei

“…We show that, the CD-ILMS algorithm has the same steady-state error performance compared with the ILMS algorithm. …”
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A novel softsign fractional-order controller optimized by an intelligent nature-inspired algorithm for magnetic levitation control by Ahmad, Mohd Ashraf, Izci, Davut, Ekinci, Serdar, Mohd Tumari, Mohd Zaidi

“…The performance of the proposed approach was extensively benchmarked against four modern metaheuristic algorithms (greater cane rat algorithm, catch fish optimization algorithm, RIME algorithm and artificial hummingbird algorithm) under identical conditions. …”
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Moderating effect of management support on the relationship between HR practices and employee performance in Nigeria by Ismail, Abdussalaam Iyanda, Abdul Majid, Abdul Halim, Jibrin Bida, Mohammed, Joarder, Mohd Hasanur Raihan

“…The cross-sectional survey approach was used in which data were collected from 450 academics in the state-owned polytechnics in Nigeria. The partial least squares method (PLS) algorithm and bootstrapping techniques were used to test the study’s hypotheses. …”
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Speed Performance Improvement Of Three-Phase Induction Motor Drives Using Adaptive Sliding Mode Controller by Mohd Aziri, Muhammad Hasif

“…The modified classical sliding mode control (SMC) algorithm is developed based on the conventional robust controller with the adaption of switching gain and discontinuous sigmoid functions to eliminate the undesirable chattering phenomenon. …”
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