Search Results - (( linear interaction _ algorithm ) OR ( java implication based algorithm ))
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SYSTEM IDENTIFICATION AND MODEL PREDICTIVE CONTROL FOR INTERACTING SERIES PROCESS WITH NONLINEAR DYNAMICS
Published 2009“…This thesis discusses the empirical modeling using system identification technique and the implementation of a linear model predictive control with focus on interacting series processes. …”
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Quasi linear algorithm for modelling shoreline change from AIRSAR/POLSAR polarized data
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Consensus Tracking Control of Multiple Quadrotors with a Cooperative Leader
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Interaction diagram and response surface plot of pretensioned inverted T-beam with circular web openings
Published 2023“…In this paper, the non-linear analysis, interaction diagram and deflection response surface plot of simply supported pretensioned inverted T-beam with circular web openings are presented. …”
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Nonlinear PI Control With Adaptive Interaction Algorithm For Multivariable Wastewater Treatment Process
Published 2014“…The wastewater treatment plant (WWTP) is highly known with the nonlinearity of the control parameters,thus it is difficult to be controlled.In this paper,the enhancement of nonlinear PI controller (ENon-PI) to compensate the nonlinearity of the activated sludge WWTP is proposed.The ENon-PI controller is designed by cascading a sector-bounded nonlinear gain to linear PI controller.The rate variation of the nonlinear gain k n is automatically updated based on adaptive interaction algorithm.Initiative to simplify the ENon-PI control structure by adapting k n has been proved by significant improvement under various dynamic influents.More than 30% of integral square error and 14% of integral absolute error are reduced compared to benchmark PI for DO control and nitrate in nitrogen removal control.Better average effluent qualities, less number of effluent violations, and lower aeration energy consumption resulted. …”
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BRAIN ACTIVITIES FOR MOTOR MOVEMENT
Published 2012“…Feature vectors are used to differentiate the different brain activity signals associated with the user’s attention, Linear Discriminate Linear (LDA) method is used in feature classification step to achieve these goals. …”
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Final Year Project -
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Interaction diagram and response surface plot of pretensioned inverted T-beam with circular web openings
Published 2009“…In this paper, the non-linear analysis, interaction diagram and deflection response surface plot of simply supported pretensioned inverted T-beam with circular web openings are presented. …”
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Not seeing the forest for the trees: Generalised linear model out-performs random forest in species distribution modelling for Southeast Asian felids
Published 2023“…Two of the most frequently applied algorithms to model species-habitat relationships are Generalised Linear Models (GLM) and Random Forest (RF). …”
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Multichannel optimization with hybrid spectral- entropy markers for gender identification enhancement of emotional-based EEGs
Published 2021“…Consequently, optimization algorithms including binary gravitation search algorithm (BGSA) and binary particle swarm optimization (BPSO), were employed to identify the optimal channels for gender classification. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Qualitative study of riccati difference equation on maneuvering target tracking and fault diagnosis of wind turbine gearbox
Published 2019“…A noble way of analyzing the stability of the IMM algorithm for a linear systems with the upper and lower bounds of the error covariance is analyzed. …”
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Secure block cipher inspired by the human immune system
Published 2012“…It also measures the diffusion property in linear transformation using branch number in estimating the possible success of differential and linear attacks. …”
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Thesis -
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Predicting sea levels using ML algorithms in selected locations along coastal Malaysia
Published 2025“…The following were the developed best models for their respective study areas: In Peninsular Malaysia, the interactions linear regression model was the best at Pulau Langkawi (RMSE = 19.066), the Matern 5/2 gaussian process regression model at Geting (RMSE = 49.891), and the trilayered artificial neural network at Pulau Pinang (RMSE = 20.026), while the linear regression model was the best at Sandakan in Sabah, East Malaysia (RMSE = 14.054). …”
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Identifying Cyberspace Users� Tendency in Blog Writing Using Machine Learning Algorithms
Published 2023“…The algorithms are Decision Tree (c4.5), Linear Regression (LR), and Decision Forest (DF) with a 10-fold cross-validation method for training and testing. …”
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Software for modelling the static and dynamic flux linkage - current characteristics of A 6/4 SRM
Published 1996“…The intermediate parameters are determined from interactive operation to achieve ease of use, better insight into program execution and, more significantly, a guarantee of mathematical stability of the overall algorithm. …”
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Student Project -
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Development of finite element model for soil-structure interaction
Published 2014“…Since different materials are used in the current SSI problem constitutive models are employed to capture both the linear and nonlinear interactive behavior of all the materials i.e. concrete, steel, soil and interface element. …”
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Thesis -
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Application of conjugate gradient approach for nonlinear optimal control problem with model-reality differences
Published 2018“…For illustration, an economic growth problem is solved by using the algorithm proposed. The results obtained demonstrate the efficiency of the algorithm proposed. …”
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Application of conjugate gradient approach for nonlinear optimal control problem with model-reality difference
Published 2018“…For illustration, an economic growth problem is solved by using the algorithm proposed. The results obtained demonstrate the efficiency of the algorithm proposed. …”
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