Search Results - (( based optimization model algorithm ) OR ( based verification system algorithm ))
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Computational dynamic support model for social support assignments around stressed individuals among graduate students
Published 2020“…Hence, this study aims to develop the dynamic configuration algorithm to provide an optimal support assignment based on information generated from both social support recipient and provision computational models. …”
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Modeling And Control Of V-Groove Rotary Impact Driver
Published 2020“…A state-flow control algorithm is developed on the model to improve the mentioned shortfalls. …”
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Techno-economic optimization and modelling of grid-connected photovoltaic and battery energy storage system
Published 2023“…Optimization was performed via MATLAB using particle swarm optimization (PSO) and Genetic Algorithms (GA) techniques. …”
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Development Of Generative Computer-Aided Process Planning System For Lathe Machining
Published 2019“…These functions always create irregular data descriptions in current CAD and CAM system supply and demand. This study attempts to solve this problem by recognizing the part model’s features via its geometrical based and produce sub-delta volumes that can later be used to generate manufacturing feature-based data for CAM in a single system via generations of algorithm through open source 3D CAD modeller. …”
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Development of optimized damage prediction method for health monitoring of ultra high performance fiber-reinforced concrete communication tower
Published 2018“…The results are used to develop the hybrid learning algorithm based on the AdaBoost, Bagging, and RUSBoost methods to predict the damage in the tower based on dynamic frequency domain. …”
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Development of biosignals-based multimodal biometric system
Published 2014“…The success of any biometric system is dependent on the pre-processing, features and classification algorithms exploits. …”
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An intelligent framework for modelling and active vibration control of flexible structures
Published 2004“…Parametric and non-parametric modelling of such systems is investigated. Parametric approaches include linear parametric modelling of the system using recursive least squares (RLS) and genetic algorithms (GAS); and non-parametric approaches include multi-layered perceptron neural networks (MLP-NNs) and adaptive neuro-fuzzy inference systems (ANFIS) are employed. …”
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Autonomous flight algorithm of a quadcopter sensing system for methane gas concentration measurements at landfill site
Published 2018“…This algorithm was proposed in this thesis based on a special mathematical calculation model, which has the ability to decide the spacing between adjacent straight-line trajectories within a user defined area, this prevents the quadcopter from crashing during the survey due to reasons of overcapability. …”
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Frit-based controller tuning of a dc-dc boost converter
Published 2022“…Design and simulation analyses using MATLAB software have been conducted for results validation and verification. Furthermore, we formulate the algorithm for determining the optimal controller parameters based on the Model-Free approach. …”
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New optimization feature for the developed open cnc controller based on ISO 6983 and ISO 14649
Published 2021“…This research aims to minimize tool path airtime during machining of input ISO codes via an ant colony optimization algorithm. A new optimized system was developed based on open architecture control (OAC) technology and interpreted STEP-NC (Standard for the Exchange of Product Model Data) programming approaches. …”
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Secure lightweight client for cloud-based E-Health Model
Published 2023“…The solution to this bottleneck is proposing a novel model for realizing a secure eHealth system. In this study, a secure cloud-based electronic health system model (SCBEH) is proposed. …”
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Optimization of solenoid driver and controller for gaseous fuel high-pressure direct injector using model-based approach
Published 2022“…An optimization study was conducted using Normal Boundary Intersection (NBI) algorithm in MATLAB Model-Based Calibration (MBC) Toolbox to produce an optimal injector setup. …”
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An enhanced motion planning method for industrial robots based on the digital twin concept
Published 2025“…This study proposes a novel motion planning method for six-degree-of-freedom industrial robots based on DT technology. By integrating an improved Artificial potential field method, A* algorithm, and a synergistic approach combining 3-5-3 polynomial interpolation with particle swarm optimization, we effectively address the challenges of dynamic obstacle avoidance and trajectory optimization. …”
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White root disease auto-detection system for rubber trees based on dynamic electro-biochemical latex properties / Mohd Suhaimi Sulaiman
Published 2019“…These measurement input were then went through the process of classification in ANN to generate the most optimized models by using LM and SCG algorithm. There were seven optimized models selected out of 336 models generated from the classification process. …”
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Maximum Demand Reduction (MDRed) modelling using MATLAB Stateflow
Published 2024“…Based on renewable energy case studies, the MDRed (Maximum Demand Reduction) Model is created as an optimization apparatus for the solar PV-battery system. …”
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A fictitious reference iterative tuning method for buck converter-powered DC motor control system
Published 2019“…This paper presents a model-free optimization algorithm for a PID controller based on Fictitious Reference Iterative Tuning and Simulated Kalman Filter. …”
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Hybrid ANN and Artificial Cooperative Search Algorithm to Forecast Short-Term Electricity Price in De-Regulated Electricity Market
Published 2019“…Smart grid has evolved into a viable platform for participants of electricity market to effectively regulate their bidding strategies based on demand-side management (DSM) models ascribed to its immense technological advancements in recent years. …”
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Modeling and Optimization of Tapered Rectangular Thin-walled Columns Subjected to Oblique Loading for Impact Energy Absorption
Published 2013“…Based on the verification process, deformation mode and energy absorption predicted by the developed FE model agree with the validated FE model. …”
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Modelling and calibration of high-pressure direct injection compressed natural gas engine
Published 2021“…A simpler calibration method is necessary to reduce the experimentation burden. An optimal Artificial Neural Network (ANN) model is required to facilitate model-based calibration (MBC) procedure. …”
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