Search Results - (( model validation bee algorithm ) OR ( based reconstruction _ algorithm ))
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Optimal variational mode decomposition and integrated extreme learning machine for network traffic prediction
Published 2021“…A Scalable Artificial Bee Colony (SABC) algorithm which has fewer adjustable parameters and can thus guarantee the accuracy and stability of the prediction mechanism is also proposed. …”
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Bee colony optimisation of the travelling salesman problem in light rail systems
Published 2019“…The study reported in this paper aimed to identify the most efficient algorithm and develop a mathematical model based on artificial bee colony optimisation to solve this problem in light rail transit systems. …”
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LSSVM parameters tuning with enhanced artificial bee colony
Published 2014“…The proposed model was employed in predicting financial time series data and comparison is made against the standard Artificial Bee Colony (ABC) and Cross Validation (CV) technique.The simulation results assured the accuracy of parameter selection, thus proved the validity in improving the prediction accuracy with acceptable computational time.…”
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Hybrid Artificial Bees Colony algorithms for optimizing carbon nanotubes characteristics
Published 2018“…Optimization is a crucial process to select the best parameters in single and multi-objective problems for manufacturing process.However,it is difficult to find an optimization algorithm that obtain the global optimum for every optimization problem.Artificial Bees Colony (ABC) is a well-known swarm intelligence algorithm in solving optimization problems.It has noticeably shown better performance compared to the state-of-art algorithms.This study proposes a novel hybrid ABC algorithm with β-Hill Climbing (βHC) technique (ABC-βHC) in order to enhance the exploitation and exploration process of the ABC in optimizing carbon nanotubes (CNTs) characteristics.CNTs are widely used in electronic and mechanical products due to its fascinating material with extraordinary mechanical,thermal,physical and electrical properties. …”
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A novel hybrid binary reconstruction algorithm for ultrasonic tomography
Published 2008“…This paper presents a novel image reconstruction algorithm namely the Hybrid Binary Reconstruction Algorithm (HBRA). …”
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Ultrasonic tomography - image reconstruction algorithms
Published 2012“…This paper focuses on image reconstruction algorithms for use in ultrasonic tomography. …”
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Ultrasonic tomography – image reconstruction algorithms
Published 2012“…This paper focuses on image reconstruction algorithms for use in ultrasonic tomography. …”
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Transfer learning in near infrared spectroscopy for stingless bee honey quality prediction across different months
Published 2024“…Thus, this study aims to evaluate the feasibility of homogenous transfer learning approaches to overcome data constraints in developing NIRS predictive models of stingless bee honey qualities across different months. …”
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Development of intelligent 3D solid modeler based on artificial intelligent technique
Published 2008“…The framework consists of neural network models for the reconstruction and the hybrid computing algorithm as representation scheme of the reconstructed solid. …”
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Design issues and challenges of an FPGA-based orthogonal matching pursuit implementation for compressive sensing reconstruction
Published 2020“…There are several CS reconstruction approaches, and orthogonal matching pursuit (OMP) is one of the best and popular algorithms implemented. …”
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Inverse problem: comparison between linear back-projection algorithm and filtered back-projection algorithm in soft-field tomography
Published 2017“…An image reconstruction algorithm in process tomography is very important in ensure that the reconstructed image is satisfied. …”
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3D character reconstruction from 2D orthogonal images
Published 2025“…The project objectives are to: (1) review the existing state-of-arts for solving 3D generation and reconstruction, (2) design an algorithm capable of reconstructing primitive shapes of 3D characters from four orthogonal images, optimized for limited computational resources. …”
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Application of adaptive network based fuzzy inference system for model reconstruction in reverse engineering
Published 2004“…Using an Adaptive Network based Fuzzy Inference System (ANFIS), the model reconstruction algorithm is designed. …”
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Quantitative analysis evaluation of image reconstruction algorithms between digital and analog PET-CT
Published 2023“…Ordered Subset Expectation Maximisation (OSEM) is a widely used statistical iterative reconstruction algorithm in PET-CT due to its dependability, reconstruction quality and adequate signal-to-noise ratio. …”
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Towards a unified image quality assessment technique for cross-content image processing applications
Published 2024“…Subsequently, the HaarPSI-based reconstruction approach improved accuracy from 2% to 84% compared to AS algorithms at both low and high distortion levels. …”
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Stereo Camera - Based 3D Object Reconstruction Utilizing Semi-Global Matching Algorithm
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Development of an Automated Technique for Reconstructing Jawi Characters in Historical Documents
Published 2007“…A noise model has been developed to test the reliability of the proposed algorithm. The model was developed based on several predefined criteria. …”
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