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1
Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman
Published 2019“…Block Matching Algorithm (BMA) is a technique used to minimize the computational complexity of motion estimation in video coding application. …”
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2
Automated density and growth estimation in precision aquaculture systems for prawn cultivation using computer vision techniques
Published 2024“…To address these challenges, this project proposes an innovative solution that leverages computer vision and machine learning techniques. …”
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3
Neural Network Preference Learning Approaches For Improving Agent-Based Meeting Scheduling Problems
Published 2007“…This strategy was extended with “preference estimation” technique to optimize the user preference level of negotiation outcome. …”
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4
A hybrid technique of deep learning neural networks with finite difference method for higher order fractional Volterra-Fredholm integro-differential equations with φ-Caputo operato...
Published 2025“…This technique uses the Adaptive Moment Estimation Method (Adam) as an optimization algorithm with feed-forward deep learning to minimize the error function and training the model using five layers with different activation functions. …”
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5
Evolutionary Programming (EP) based technique for secure point identification with load shedding technique in power transmission / Abdul Rahman Minhat
Published 2008“…In highlighting the merit of the proposed EP based technique for maximum loadability identification, established artificial immune system (AIS) optimization technique and AVSA were utilized for comparative studies purposes. …”
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6
Power System State Estimation In Large-Scale Networks
Published 2010“…This thesis describes a pre-screening process to identify the bad measurements and the measurement weights before performing the WLS estimation technique employed in SE. The autoregressive (AR) techniques. …”
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7
Left-handed metamaterial-inspired unit cell for S-Band glucose sensing application
Published 2023“…Computer software; Glucose; Medical problems; Metamaterials; Microwave sensors; Sensors; Computer simulation technology (CST); Experimental verification; Finite integration technique; Glucose concentration; Left handed metamaterial; Parametric -analysis; Sensing characteristics; Transmission coefficients; Solution mining; glucose; water; chemistry; computer simulation; genetic procedures; human; isolation and purification; microwave radiation; procedures; software; Biosensing Techniques; Computer Simulation; Glucose; Humans; Microwaves; Software; Water…”
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8
Opposition- based simulated kalman filters and their application in system identification
Published 2017“…Metaheuristic optimization algorithms are well-established techniques to address those problems which are difficult to solve through traditional optimization methods. …”
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9
Current issues in ensemble methods and its applications
Published 2015“…In terms of optimization techniques, multi-objectives techniques have become the better ones to use due to their efficiency in terms of optimization process and they provide a set of near optimal solution instead of just a single solution. …”
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10
Examining the Eigenvalues Effect to the Computational Cost in Mobile Robot Simultaneous Localization and Mapping
Published 2016“…This study attempts to look for an optimal solution to decrease the computational complexity of the covariance matrix without compromising the accuracy of the state estimation through eigenvalue approach. …”
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11
Probabilistic Multi-Tiered Grey Wolf Optimizer-Based Routing for Sustainable Sensor Networks
Published 2022“…CH was chosen grounded on the objective value that required fewer difficult control factors than existing techniques. Simulations showed that the suggested technique could extend the network’s stability time by (31.5 %) compared to hetDEEC-3, L-DDRI, Novel-LEACH-POS, DBSCDS-GWO, and P-SEP.…”
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12
Utilising computer vision techniques for automated density and growth estimation in precision aquaculture systems for prawn cultivation
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Final Year Project / Dissertation / Thesis -
13
An efficient model for indoor radio signal prediction and coverage estimation / Md. Sumon Sarker
Published 2011“…And the second algorithm is the optimization technique for indoor wireless coverage. …”
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14
Performance evaluation of multi-user detection in Cdma using micro-genetic algorithm
Published 2005“…Genetic Algorithms (GA) is a search and optimizes technique that works by estimating multiple solutions in order to come with the best estimated solution. …”
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Proceeding Paper -
15
Simultaneous computation of model order and parameter estimation for ARX model based on single swarm and multi swarm simulated Kalman filter
Published 2017“…Agents interact among them to modify and enhance the solution throughout the search process. Simultaneous Model Order and Parameter Estimation (SMOPE) and Simultaneous Model Order and Parameter Estimation based on Multi Swarm (SMOPE-MS) are two techniques of implementing meta-heuristic algorithm to iteratively establish an optimal model order and parameters simultaneously for an unknown system. …”
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16
An improvement of stochastic gradient descent approach for mean-variance portfolio optimization problem
Published 2021“…During the calculation procedure, the iterative solution converges to the optimal portfolio solution. …”
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17
Modeling and Prediction of the mechanical properties of feedstock by cooling-slope casting process using MOJaya algorithm
Published 2024“…Computational techniques have been suggested by previous researchers to solve the optimization in the manufacturing process. …”
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18
Estimation of optimal machining control parameters using artificial bee colony
Published 2013“…It was reported by previous researches that artificial bee colony (ABC) algorithm has less computation time requirement and offered optimal solution due to its excellent global and local search capability compared to the other optimization soft computing techniques. …”
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19
Feedforward neural network for solving particular fractional differential equations
Published 2024“…This research aims to develop a scheme based on a feedforward neural network (FNN) with a vectorized algorithm (FNNVA) for solving FDEs in the Caputo sense (FDEsC) using selected first-order optimization techniques: simple gradient descent (GD), momentum method (MM), and adaptive moment estimation method (Adam). …”
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20
Modeling and Prediction of The Mechanical Properties of Feedstock by Cooling-Slope Casting Process using MOJaya Algorithm
Published 2024“…Computational techniques have been suggested by previous researchers to solve the optimization in the manufacturing process. …”
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