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Enhanced Q-Learning algorithm for potential actions selection in automated graphical user interface testing
Published 2023“…Thus, these techniques are unable to detect failures that occur due to the improper use of context data, which is becoming an increasingly common issue in mobile applications nowadays. We enhanced the Q-Learning algorithm for action selection based on potential action abilities and proposed a tool, namely CrashDroid, that allows the automation of testing context-aware Android applications. …”
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Safe experimentation dynamics algorithm for data-driven PID controller of a class of underactuated systems
Published 2019“…Due to the problem of the unmodeled dynamics, there is a significant disparity between the theory of control and its actual applications, which makes the model-based controller difficult to apply. …”
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Safe experimentation dynamics algorithm for data-driven PID controller of a class of underactuated systems
Published 2019“…Due to the problem of the unmodeled dynamics, there is a significant disparity between the theory of control and its actual applications, which makes the model-based controller difficult to apply. …”
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Mobile game application development using evolutionary algorithms
Published 2014“…Evolutionary Algorithms have never been used on mobile applications, thus it gives a novel idea of utilizing Evolutionary Algorithms in developing applications typically in games for mobile platforms. …”
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An Efficient Route Selection Based on AODV Algorithm for VANET
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An Efficient Route Selection based on AODV Algorithm for VANET
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Modifying maximum likelihood test for solving singularity and outlier problems in high dimensional cases
Published 2021“…The validation of this robust modified ML-test was conducted in a real application on the Pakistan microeconomic system and turned out with good performance. …”
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Biometrics: Facial Recognition
Published 2004“…Among the various approaches, eigenface technique is explained in detail including its work procedure, algorithm and the tools applied. …”
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Cluster head selection algorithm using fuzzy logic in multi-tier Wireless Sensor Network for energy efficiency / Wan Isni Sofiah Wan Din
Published 2016“…Hence, this study proposes a new algorithm called Multi-Tier Protocol (MAP). MAP introduced clustering scheme to reduce the energy consumption of wireless sensor network in which, Fuzzy Logic used as tools to select the cluster head and multi-hop communication is used to route the data from the cluster head to the base station. …”
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Advanced biomedical imaging for plaque lesion diagnosis focusing on Malaysian subjects / Hadzli Hashim
Published 2006“…The system which is based on primary color components from digital images employed new algorithms of data acquisition, data processing, data extraction and application of artificial neural network (ANN) as the decision model to discriminate plaque from other major psoriasis. …”
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The Potential of High Density Scanner Technique for Terrestrial Surface Displacement Studies in Malaysia
Published 2009“…HDS technology is a surveying method conceived more than ten years ago that in a short time can supply DSM (Digital Surface Model) and good quality DTM as a result of elaborations with specific filtering and interpolation algorithms; only recently has this technique shown growth in development and applications. …”
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Extended Haar Wavelet Quasilinearization method for solving boundary value problems / Nor Artisham Che Ghani
Published 2018“…This method can therefore serve as very useful tool in many physical applications.…”
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STRUCTRAL BEHA VIORE OF REINFORCED CONCRETE BEAMS STRENGTHED FOR SHEAR USING CFRP LAMINATES SUBJECTED TO CYCLIC LOADING
Published 2010“…FRP composite materials are widely employed because of their high strength to weight ratio, environmental resistance and ease of application over materials such as steel. In this research, an analytical model based on non-linear finite element algorithms coded in FORTRAN language was developed to enable the analysis of R.C beams externally strengthened for shear using CFRP laminates subjected to cyclic loads. 20-noded isoparametric quadrilateral elements with three degrees of freedom per each node were used to represent concrete. …”
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Comparisons of automated machine learning (AutoML) in predicting whistleblowing of academic dishonesty with demographic and theory of planned behavior
Published 2023“…Focused on Python and RapidMiner rapid modeling tools, Tree-based Pipeline Optimization Tool (TPOT) and AutoModel were used. …”
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