Search Results - (( java application bees algorithm ) OR ( parameter identification task algorithm ))
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Educational project on a simple voice identification using mel-frequency cepstrum coefficients and vector quantization
Published 2008“…Voice identification is a task of identifying a person based on the content of information in one’s voice signal which distinguishes his/hers from voices of other people. …”
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Proceeding Paper -
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Artificial Bee Colony algorithm in estimating kinetic parameters for yeast fermentation pathway
Published 2023“…This step is essential because insufficient identification of model parameters can cause erroneous conclusions. …”
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Article -
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Optimization of modified Bouc–Wen model for magnetorheological damper using modified cuckoo search algorithm
Published 2021“…An engineering optimization application was chosen to evaluate the performance of the algorithm in complex engineering applications. The optimization task involved hysteresis parameter identification of the root mean square error between the model and an actual magnetorheological damper. …”
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Recent advances in meta-heuristic algorithms for training multilayer perceptron neural networks
Published 2025“…Despite the growing use of MHAs, existing studies often focus on specific subsets of algorithms or narrow application domains, leaving a gap in understanding their comprehensive potential and comparative performance across diverse classification tasks. …”
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Enhanced grey wolf optimisation algorithm for feature selection in anomaly detection
Published 2022“…The proposed EBGWO algorithm can be used for FS in anomaly detection tasks that involve any dataset size from various application domains.…”
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Thesis -
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A novel quantum calculus-based complex least mean square algorithm (q-CLMS)
Published 2022“…The Eq-CLMS algorithm eliminates the need for a pre-coded value of the q-parameter thereby automatically adapting to the best value. …”
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Article -
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A novel quantum calculus-based complex least mean square algorithm (q-CLMS)
Published 2022“…The Eq-CLMS algorithm eliminates the need for a pre-coded value of the q-parameter thereby automatically adapting to the best value. …”
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Article -
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A novel quantum calculus-based complex least mean square algorithm (q-CLMS)
Published 2023“…The Eq-CLMS algorithm eliminates the need for a pre-coded value of the q-parameter thereby automatically adapting to the best value. …”
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Article -
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Enhancing Wearable-Based Human Activity Recognition with Binary Nature-Inspired Optimization Algorithms for Feature Selection
Published 2026“…This research paper explores the performance of binary nature-inspired optimization algorithms as feature selection to enhance the identification of human activities using wearable technology. …”
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Fault Detection Relevant Modeling of an Industrial Gas Turbine based on Neuro-Fuzzy Approach
Published 2010“…Developing such a model from basic laws is a complicated and time consuming task. Besides, design parameters are difficult to get if the unit is already in operation. …”
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Conference or Workshop Item -
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Applications of contemporary artificial intelligence technology in forensic odontology as primary forensic identifier : A scoping review
Published 2022“…In the meantime, this method's capacity to automatically learn task-specific feature representations has made it a significant success in forensic odontology.…”
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Image segmentation method for boundary detection of breast thermography using random walkers
Published 2013“…The segmentation was based on constant parameters among all images used in the study; these standard segmentation parameters achieved acceptable results in most cases. …”
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Thesis -
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Detection And Identification Of Stiction In Control Valves Based On Fuzzy Clustering Method
Published 2016“…Not only has the identification time been decreased to less than a second (i.e. average is 0.4505 seconds), the performance of the proposed methods of stiction detection, diagnosis and identification has also been confirmed by both simulation and industrial data. …”
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Thesis -
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Efficient relay placement algorithm using landscape aware routing (erpalar)
Published 2011“…Manual placement of wireless relay equipments will be a daunting task when deployment area spans over tens of kilometers and the environment made up of mountains, valleys and other terrains that could impact the transmission of radio-frequency Signal0 In this work, an algorithm code-named 'Efficient Relay Placement Algorithm using Landscape Aware Routing' -ERPALAR has been developed to solve the RPP. …”
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Thesis -
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New techniques incorporating computational intelligence based for voltage stability evaluation and improvement in power system / Nur Fadilah Ab. Aziz
Published 2014“…The competency of VSCI was corroborated in three tasks; weak bus identification, automatic line outage contingency ranking and weak area identification. …”
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Hybrid fault detection using kalman filter and neural network for quadrotor micro aerial vehicle
Published 2018“…ANN is an algorithm that is used to determine the fault condition and determine its severity in the quadrotor system. …”
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Development of a Neural-Fuzzy Model for Machinability Data Selection in Turning Process
Published 2008“…One of the issues is machinability data selection, which is always referred as the proper selection of cutting tools and machining parameters. This task is a complex process; and usually depends on the experience and skill of a machinist. …”
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Thesis -
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