Search Results - (( inclusion detection system algorithm ) OR ( based optimization isotherm algorithm ))
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Development of a user-adaptable human fall detection based on fall risk levels using depth sensor
Published 2018“…The inclusion of the fall risk level identification, further enhanced and improved the accuracy of the fall detection. …”
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Development of a user-adaptable human fall detection based on fall risk levels using depth sensor
Published 2018“…The inclusion of the fall risk level identification, further enhanced and improved the accuracy of the fall detection. …”
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Security alert framework using dynamic tweet-based features for phishing detection on twitter
Published 2019“…This model is then embedded into the detection algorithm together with the inclusion of dynamic tweet-based features which are not as part of the features used to train a classification model for phishing tweet detection. …”
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Detection of leak size and its location in a water distribution system by using K-NN / Nasereddin Ibrahim Sherksi
Published 2020“…The successfully achieved four set objectives inclusive of (1) a new classification model to detect water leakage, (2) analysis of the effects of leakage size on the variables within a WDS, i.e. flow, pressure, pipe volume, velocity and water demand, (3) locating and specifying the leakage size in the WDS, and (4) evaluate the performance of the designed K-NN algorithm for accurate leak detection. …”
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An efficient algorithm for oval shape face detection in color family photos
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Compressing and improving fuzzy rules using genetic algorithm and its application to fault detection
Published 2023Conference Paper -
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A gauss-newton approach for nonlinear optimal control problem with model-reality differences
Published 2017“…Here, the linear model-based optimal control model is considered, so as the optimal control law is constructed. …”
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A Systematic Review of Metaheuristic Algorithms in Human Activity Recognition : Applications, Trends, and Challenges
Published 2025“…Metaheuristic algorithms have emerged as promising techniques for optimizing human activity recognition (HAR) systems. …”
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Robust digit recognition with dynamic time warping and recursive least squares
Published 2008“…This system consists of speech processing inclusive of digit margin and recognition which uses zero crossing and energy calculations. …”
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Production and characterization of biochar derived from oil palm wastes, and optimization for zinc adsorption
Published 2015“…The incremental back propagation algorithm demonstrated the best results and which has been used as learning algorithm for ANN in combination with Genetic Algorithm in the optimization. …”
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Modeling of Cu(II) adsorption from an aqueous solution using an Artificial Neural Network (ANN)
Published 2020“…The Fletcher-Reeves conjugate gradient backpropagation (BP) algorithm was the best fit among all of the tested algorithms (mean squared error (MSE) of 3.84 and R2 of 0.989). …”
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Development of multivariate statistical process monitoring system using multidimensional scalling technique for continuous and batch-based process
Published 2015“…The overall result demonstrates that it has shown almost equal performance, in terms of fault detection, to the conventional Principal Component Analysis (PCA) based on a number of cases of a simulated Continuous Stirred Tank Reactor (CSTR) system. …”
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Modelling and simulation of hollow profile aluminium extruded product
Published 2015“…This process is an isothermal process with an extrusion ratio of 3.3. Subsequently, the optimized algorithm for these extrusion parameters was suggested based on the simulation results. …”
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Modeling of cu(ii) adsorption from an aqueous solution using an artificial neural network (ann)
Published 2020“…The Fletcher–Reeves conjugate gradient backpropagation (BP) algorithm was the best fit among all of the tested algorithms (mean squared error (MSE) of 3.84 and R2 of 0.989). …”
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Wavelet based fault tolerant control of induction motor / Khalaf Salloum Gaeid
Published 2012“…The motor features are extracted through the proposed Discrete Wavelet Transform (DWT) based analysis method, while the wavelet inlet acts as an expert tool to adapt the right controller in accordance with the fault type. The fault detection algorithm identifies the time and location of each fault. …”
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Motion Capture Technologies for Ergonomics: A Systematic Literature Review
Published 2023“…A medical diagnosis using AI applies machine learning algorithms and motion capture technologies to analyze patient data, enhancing diagnostic accuracy, enabling early disease detection and facilitating personalized treatment plans. …”
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Development of a State-Space Observer for Active Noise Control Systems
Published 2009“…In this work, the derivation of the SSM of each propagation path of ANC system is presented and hence the system is termed Feedforward state space control system with feedback inclusion single input single output (SISO) architecture. …”
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