Search Results - (( based optimization method algorithm ) OR ( system implementation phase algorithm ))
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Power system network splitting and load frequency control optimization using ABC based algorithms / Kanendra Naidu a/l Vijyakumar
Published 2015“…This research presents a modified optimization program for the system splitting problem in large scale power system based on Artificial Bee Colony algorithm and graph theory. …”
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Sliding mode controller optimization-based three-phase rectifier: review study
Published 2024“…In addition to their theoretical components, this review paper investigates the practical implementation challenges of SMCs for three-phase rectifiers. …”
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Smart Routing For Solid Waste Collection
Published 2023“…The proposed solution is to implement a route optimization algorithm to predict the probability of each feasible route for the garbage truck collection. …”
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Optimization of Digital Electronic Circuit Structure Design Using Genetic Algorithm
Published 2008“…The results show that the proposed method is able to produce the optimized circuit with lesser number of gates compared to the conventional methods. …”
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A hybrid model of system dynamics and genetic algorithm to increase crude palm oil production in Malaysia
Published 2018“…In this research, a hybrid model of system dynamics (SD) and genetic algorithm (GA) was developed to determine the optimal policy in increasing the CPO production in Malaysia. …”
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Estimation of photovoltaic models using an enhanced Henry gas solubility optimization algorithm with first-order adaptive damping Berndt-Hall-Hall-Hausman method
Published 2024“…The existing literature extensively explores the utilization of powerful Metaheuristic Algorithms (MAs) to address the complex constrained optimization problem in PV systems and achieve optimal solutions. …”
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Overhead view based person counting using deep learning
Published 2022“…In conventional video surveillance systems, most of the person detection methods are based on frontal view, which may have lower accuracy stemming from the occlusion problem. …”
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Final Year Project / Dissertation / Thesis -
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Performance optimization method in OFDM based on majorization and minimization technique
Published 2019“…This signal is affected by large Wiener Process PHN and estimated by TQM algorithm. MATLAB simulation results reveal that TQM implementation has outperform to approximate PHN in OFDM systems with high number of subcarriers (Nc).…”
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A novel hybrid photovoltaic current prediction model utilizing singular spectrum analysis, adaptive beluga whale optimization, and improved extreme learning machine
Published 2025“…Additionally, the inverse matrix of the output weights is adjusted after the training phase to optimize the ELM model. Ultimately, the hyperparameters of the IELM model are optimized utilizing ABWO algorithm. …”
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Solving vehicle routing problem by using improved genetic algorithm for optimal solution
Published 2023Article -
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A fuzzy case-based reasoning model for software requirements specifications quality assessment
Published 2023“…Additionally, for efficient cases retrieval in the CBR, relevant cases selection and nearest cases selection heuristic search algorithms are used in the system. Basically, the input to the relevant cases algorithm is the available cases in the system case base and the output is the relevant cases. …”
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Modeling and implementation of space vector modulation for three-phase direct torque control matrix converter
Published 2013“…In this thesis, the main aim is to improve the performance of the induction motor drive based on the space vector modulation (SVM) method. …”
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Modeling Of Electrical Distribution Networks With Particle Swarm Optimization Technique For The Improvement Of Voltage Profile And Loss Reduction
Published 2016“…The method is accurate and has advantage as easy to implement which accomplished with Carson's equations. …”
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Compact broadband triple-ring five-port reflectometer for microwave brain imaging applications
Published 2019“…Finally, the overall imaging system setup and image construction algorithm are presented and discussed for possible incorporation with this FPR for brain microwave imaging.…”
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A Constrained Optimization based Extreme Learning Machine for noisy data regression
Published 2023“…Artificial intelligence; Benchmarking; Data handling; Knowledge acquisition; Lagrange multipliers; Learning systems; Optimization; Regression analysis; Benchmark data; Constrained optimization methods; Data regression; Extreme learning machine; Kernel function; Noisy data; Optimization problems; Support vector regression (SVR); Constrained optimization; nitric oxide; algorithm; Article; artificial intelligence; artificial neural network; classifier; combustion; entropy; exhaust gas; extreme learning machine; fuzzy system; generalized regression neural network; generalized regression neural network and fuzzy art; housing; kernel method; logistic regression analysis; machine learning; Malaysia; priority journal; probabilitistic entropy based neural network; process optimization; radial based function; regression analysis; support vector machine…”
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Fractal coding of bio-metric image for face authentication
Published 2021“…However, the existing strategy, which comprises two major phases and is based on the partition iterated function system, can be altered. …”
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Festive season balancing groceries optimization / Fairuz Mohamed Razi
Published 2012“…The most important part is during system design and implementation. In this phase, method use in Genetic Algorithm to optimize the system prototype is Rastrigin's function to calculate the fitness of the chromosomes.…”
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Online auto-tuned proportional-integral controller using particle swarm optimization for dual active bridge DC-DC converter
Published 2021“…APSO-PI is an auto-tuned PI using the PSO algorithm where the optimal values of Kp and Kiwere tuned at the initial control process only. …”
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An improved method using fuzzy system based on hybrid boahs for phishing attack detection
Published 2022“…Moreover, Butterfly Optimization Algorithm and Harmony Search Algorithm were combined as optimization method led to a new method named BOAHS. …”
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