Search Results - (( developing models decomposition algorithm ) OR ( java segmentation using algorithm ))
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Image clustering comparison of two color segmentation techniques
Published 2010“…Finally, the algorithm found, which would solve the image segmentation problem.…”
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Thesis -
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Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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OPTIMISED UNIT COMMITMENT AND DYNAMIC ECONOMIC DISPATCH FOR LARGE SCALE POWER SYSTEMS
Published 1989“…The solution algorithm based on a combination of a Lagrangian Relaxation and period-by-period decomposition is developed and tested. …”
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Development of bi-objective optimization model for supply chain network design using data envelopment analysis
Published 2017“…Several examples have been applied to verify and validate the effectiveness of proposed model and Benders decomposition algorithm. An example from the real case was considered to verify and validate the proposed model. …”
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Development of seven segment display recognition using TensorFlow on Raspberry Pi
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Proceeding Paper -
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Performance of MIMO space-time coded system and training based channel estimation for MIMO-OFDM system
Published 2006“…Therefore in this part QR decomposition algorithm has been investigated as a solution. …”
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Elastic net penalized Quantile Regression Model and Empirical Mode Decomposition for Improving the Accuracy of the Model Selection
Published 2023“…In quantile regression models, numerous penalization methods have been developed to deal with ordinary least-squares method problems. …”
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Automatic Feature Recognition of Chamfer and Fillet for Turning Part Model by Volume Decomposition Method / Ahmad Faiz Zubair and Mohd Salman Abu Mansor
Published 2018“…These prove that the algorithm is able to recognize cylindrical part model chamfers and fillets feature.…”
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…The proposed method uses a rank accuracy estimation model to decide the rank-1 value to be applied for the decomposition. …”
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An enhanced soft set data reduction using decision partition order technique
Published 2017“…The decomposition scenario in Rose’s and Kumar’s algorithms detects the reduction, but could not obtain the optimal decision. …”
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Thesis -
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Identification of Freeform Depression Feature in a Part Using Vertex Attributes From Feature Volume / Pramod S Kataraki and Mohd Salman Abu Mansor
Published 2018“…First, the algorithm quantifies input part model’s volume and identifies the faces having depression feature. …”
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Development of decentralized data fusion algorithm with optimized kalman filter.
Published 2016“…The proposed QR-FA algorithm is developed by introducing additional step of QR decomposition in the standard factor analysis algorithm. …”
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Thesis -
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Forecasting of fine particulate matter based on LSTM and optimization algorithm
Published 2024“…Long short-term memory based on metaheuristic algorithms, namely particle swarm optimization and sparrow search algorithm (PSO-LSTM and SSA-LSTM), are first developed and applied to determine the significance input combination to the changes of PM2.5 concentration at respective target stations. …”
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Development of a new approach for deterministic supply chain network design
Published 2008“…In this paper, a modified version of Benders’ decomposition is proposed to solve the model. The most difficulty associated with the Benders’ decomposition is the solution of master problem, as in many reallife problems the model will be NP-hard and very time consuming. …”
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Short lead time standard precipitation index forecasting: Extreme learning machine and variational mode decomposition
Published 2025“…The first 6 and 12-month SPI values 1, 2, and 3-month lead time values were estimated with the ELM algorithm. After that, meteorological variables and Standard Precipitation Index (SPI) values, divided into subcomponents with VMD, are presented to the ELM model, and a drought forecasting model is developed. …”
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Distinguishing Micro-Scale Voltage Disturbances Using Wavelet Decomposition Techniques
Published 2014“…All the modelling and classification processes are performed in MATLAB where wavelet-1D toolbox and MATLAB algorithm are developed and employed. …”
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Final Year Project -
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A machine learning approach to tourism recommendations system
Published 2025“…This project aims to develop a tourism attractions recommendation system by integrating machine learning recommendation algorithms. …”
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Final Year Project / Dissertation / Thesis