Search Results - (( data integration using algorithm ) OR ( parameter adaptation method algorithm ))
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Modeling time series data using Genetic Algorithm based on Backpropagation Neural network
Published 2018“…This study showed the task of optimizing the topology structure and the parameter values (e.g., weights) used in the BPNN learning algorithm by using the GA. …”
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CAT CHAOTIC GENETIC ALGORITHM BASED TECHNIQUE AND HARDWARE PROTOTYPE FOR SHORT TERM ELECTRICAL LOAD FORECASTING
Published 2017“…To overcome these ANN problems, the Genetic Algorithm (GA) has been most frequently used for this purpose, however, some drawbacks of GA include, slow search speed and dependence on initial parameters. …”
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Heart disease prediction using artificial neural network with ADAM optimization and harmony search algorithm
Published 2025“…This performance is validated through rigorous comparative assessments against various classification algorithms and state-of-the-art methods, revealing notable advantages in terms of predictive precision, computational efficiency, and adaptability to real-world clinical scenarios. …”
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A new routing mechanism for energy-efficient in bluetooth mesh-low power nodes based on wireless sensor network
Published 2023“…The ACO algorithm integrates multiple criteria, ensuring routes are short and energy-efficient. …”
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Adaptive template matching of photoplethysmogram pulses to detect motion artefact
Published 2018“…The performance of our algorithm was evaluated using data obtained from two different sources: (i) our own data collected from 19 healthy subjects using the wearable Sotera Visi Mobile system (Sotera Wireless Inc.) as they performed various movement types; and (ii) ICU data provided by the PhysioNet MIMIC II database. …”
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Web based personalized university timetable for UiTM students using genetic algorithm / Mohd Radhi Fauzan Jamli and Ahmad Firdaus Ahmad Fadzil
Published 2024“…Future work entails enhancing system robustness through comprehensive contingency planning, real-time data integration, and algorithmic optimization, with a focus on refining the genetic algorithm and exploring parallel processing techniques to further enhance efficiency and scalability.…”
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Deep continual learning for predicting blast-induced overbreak in tunnel construction / He Biao
Published 2024“…Third, the integration of metaheuristic algorithms further ascertains the optimal blasting parameters for overbreak minimization under specific rock sections. …”
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Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks
Published 2025thesis::doctoral thesis -
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Modeling and control of a Pico-satellite attitude using Fuzzy Logic Controller
Published 2010“…In this regards, a new method of Pico-satellite attitude control using Mamdani Fuzzy Logic Principles is introduced. …”
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Application of nature-inspired algorithms and artificial intelligence for optimal efficiency of horizontal axis wind turbine / Md. Rasel Sarkar
Published 2019“…This study presents robust pitch angle control for the output wind power model in wide range wind speed by proportional-integral-derivative (PID) controller. In addition, ACO algorithm has been used for optimization of PID controller parameters to obtain within rated smooth output power of WT from fluctuating wind speed. …”
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Genetic algorithm for control and optimisation of exothermic batch process
Published 2013“…Nevertheless, these methods require huge batch of data for tuning its parameters. …”
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Neural network based adaptive pid controller for shell-and-tube heat exchanger
Published 2019“…Dynamic time series neural network model was used together with Levenberg-Marquardt algorithm as the training method. …”
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Neural network based adaptive pid controller for shell-and-tube heat exchanger: article
Published 2019“…Dynamic time series neural network model was used together with Levenberg-Marquardt algorithm as the training method. …”
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Modeling the powder compaction process using the finite element method and inverse optimization
Published 2011“…This paper focuses on studying and adapting modeling techniques using the finite element method to simulate the rigid die compaction of metal powders. …”
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Reference evapotranspiration estimation using adaptive neuro-fuzzy inference system
Published 2011“…It has been found that the minimum required meteorological parameters that gives the low error rate under arid and semi-arid conditions are temperature and wind speed data, and under humid conditions are temperature data and estimated relative humidity data from temperature data (by FAO-56 reduced set approach). …”
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Integrated geophysical, hydrogeochemical and artificial intelligence techniques for groundwater study in the Langat Basin, Malaysia / Mahmoud Khaki
Published 2014“…A novel investigation in modelling of groundwater level and quality using Artificial Neural Networks (ANNs) and Adaptive neuro fuzzy inference systems (ANFIS) methods was developed in the study area. …”
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Development of adaptive controlled natural gas transmission water bath heater using mathematical model / Amiruddin Amkaromi
Published 2018“…Model Reference concept has been adapted combined with an adaptive set point regulation method selected as an adaptation method. …”
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Optimizing LSTM S2S models with Evolutionary Mating Algorithm (EMA) for direct multi-step forecasting of household electrical power consumption
Published 2026“…Future work will expand the scope using diverse datasets, longer forecast horizons, and integration of renewable energy sources for more practical and scalable solutions.…”
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Simultaneous Adaptation Of Multiple Genetic Algorithm Parameters Using Fuzzy Logic Controllers
Published 2010“…This study aims at designing an online adaptive method to control multiple parameters of the Genetic Algorithm. …”
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