Search Results - (( developing affective reaction algorithm ) OR ( java application customization algorithm ))
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Enhancing obfuscation technique for protecting source code against software reverse engineering
Published 2019“…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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All-in-1 adverse drug reaction reporting system / Long Chiau Ming … [et al.]
Published 2014“…Our innovation is All-in-1 ADR reporting system could be the main mechanism to report adverse reactions to drugs as early as possible, especially for serious, rare or unknown skin reactions. …”
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Modeling And Optimization Of Lipase-Catalyzed Synthesis Of Adipate Esters Using Response Surface Methodology And Artificial Neural Network
Published 2010“…The results demonstrated that alcohol chain length and structure were determining factors that affect the optimum condition of the reaction parameters for the enzymatic synthesis of adipate esters. …”
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Development of drift conversion algorithm for ISFET based pH sensor for continuous measurement system
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Real-time measurement and gait detection algorithm for motion control of active ankle foot orthosis / Aminuddin Hamid
Published 2015“…From the result analysis, the developed control algorithm shows that the realtime GRF measurement has the ability to enhance the AAFO functional performance and improve the patient gait.…”
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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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The design for antrophomorphic sociable agent interaction through emotion detection
Published 2003“…This research works addresses on faces features through simulation of anthropomorphic agent.A salience feature of this definition of emotion is described in terms of goals and roles.Therefore, it provides a basic framework of goal-driven processing, which is to investigate computational models of emotion.The main goal of this research is to provide a natural interaction scheme where the affective interaction emotive state of the user can be identified.One aspect of developing such a capability is the ability of the system to recognize emotional state using intelligent supervised learning algorithms, personality of the user and respond appropriately.An anthropomorphic agent will serve to express the reaction through affective feedback given. …”
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Design & Development of a Robotic System Using LEGO Mindstorm
Published 2006“…Since the model is built using LEGO bricks, the model is fully customized, in term of its applications, to perform any relevant tasks. …”
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The identification of alcohol percentage limit in halal food using fuzzy logic
Published 2021“…This algorithm and basic framework will be the first step in developing a user-friendly tool that will later benefit the consumer as well as function as an auditor especially in order to control the alcohol content in halal food and beverages.…”
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Book Chapter -
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Improvement of land cover mapping using Sentinel 2 and Landsat 8 imageries via non-parametric classification
Published 2020“…The last phase involves developing a new fusion algorithm using SVM and Fuzzy K-Means Clustering (FKM) algorithms for Sentinel 2 data to enhance LCM accuracy. …”
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Artificial Neural Network (ANN) Modelling for Biogas Production in Pre-Commercialized Integrated Anaerobic-Aerobic Bioreactors (IAAB)
Published 2022“…MATLAB R2019b was used to develop the two ANN models. Bayesian regularization backpropagation (BR) showed the best performance among the 12 training algorithms. …”
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Numerical investigation of the performance of interior permanent magnet synchronous motor drive / Shahida Pervin
Published 2014“…In IPMSM the flux/field can only be weakened by the demagnetizing effect of d-axis armature reaction current, id. Recently, researchers developed FW control algorithms but often ignored the high precision computation of the algorithm. …”
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Optimization of operational conditions for adipate ester synthesis in a stirred tank reactor
Published 2010“…The process was carried out using an artificial neural network (ANN) trained by the Levenberg-Marquardt (LM) algorithm. The effects of four operative variables, temperature, time, amount of enzyme, and impeller speed, on the reaction yield were studied. …”
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MRFGRO: a hybrid meta-heuristic feature selection method for screening COVID-19 using deep features
Published 2021“…In this work, a hybrid model for COVID-19 detection has developed which has two key stages. In the first stage, we have fine-tuned the parameters of the pre-trained convolutional neural networks (CNNs) to extract some features from the COVID-19 affected lungs. …”
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A study of the heat transfer in hydrogen fueled internal combustion engine
Published 2012“…Arbitrary Lagrangian-Eulerian algorithm was adopted for solving the governing equations. …”
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Near-infrared technique for oil palm fruit grading system
Published 2013“…Color changes resulting from biochemical reactions in fruit texture can be related to fruit maturity . …”
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Synthesis of YBa₂Cu₄O8 superconductor and analysis of electronic properties in comparison to other YBCO family compounds
Published 2020“…Ca with about the same atomic radius as Y did not affect much the lattice constant and volume of the compounds. …”
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Online auto-tuned proportional-integral controller using particle swarm optimization for dual active bridge DC-DC converter
Published 2021“…APSO-PI is an auto-tuned PI using the PSO algorithm where the optimal values of Kp and Kiwere tuned at the initial control process only. …”
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