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A new image scrambling technique using block rotation algorithm based on Rubik’s cube
Published 2013“…Objectives: the objective of this paper is to develop a new efficient image scrambling algorithm by using the Rotation technique in order to break the relationship among image elements (pixels). …”
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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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A hybrid constraint-based programming approach to design a sports tournament scheduling
Published 2011“…A scheduling system is then developed. As a result, fair distribution of break or rest times and game venues among the competing teams are achieved in our objectives. …”
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A new approach to derive buildings footprint from light detection and ranging data using rule-based learning techniques and decision tree
Published 2022“…Buildings are among the most important elements in the urban structure that can affect urban planning. …”
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A cyber-enabled mission-critical system for post-flood response: Exploiting TV white space as network backhaul links
Published 2019“…The desirable functionalities of CEMCS are showcased through formulation and the development of an efficient global search strategy exploiting a wide range of collaboration among network agents. …”
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Determining malaria risk factors in Abuja, Nigeria using various statistical approaches
Published 2018“…Using hill climbing from search and score algorithms, the Bayesian network analysis revealed that there were associations among the network covariates, while cofounding effects of SES were observed. …”
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Assessment of near-infrared and mid-infrared spectroscopy for early detection of basal stem rot disease in oil palm plantation
Published 2013“…Reflectance spectra were pre-processed and principal component analysis (PCA) was performed to obtain PC scores as input features used in different pattern recognition algorithms in order to select the best learning model of Ganoderma discrimination. …”
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Computational Analysis of Gas Kinetic Bhatnagar-Grosskrook Scheme for Inviscid Compressible Flow
Published 2004“…Many numerical schemes have been developed in the field of computational fluid dynamics to simulate inviscid, compressible flows.Among those most notable and successful are the Godunov-type schemes and flux vector splitting schemes.Besides these numerical schemes, schemes based on the gas kinetic theory have been developed in the past few years.Stemming from this approach, the gas kinetic Bhatnagar-Gross-Krook (BGK) scheme is realized.In this thesis, the BGK scheme based on the BGK model of the approximate Boltzmann equation has been fully analyzed and developed accordingly.The numerical algorithms for the BGK scheme are first developed for simulating one-dimensional flow, and then follow by the-two dimensional flow realms. …”
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An approach to modelling and simulating multithreaded schedulers for divide and conquer problems on multicore architecture / Alaa Mohammed Ali Wadi Al-Obaidi
Published 2016“…This problem is represented by the optimal use of the new technology and how this is reflected in software development. In the core of the problem, there are two main issues that must be considered. …”
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A comprehensive analysis of surface electromyography for control of lower limb exoskeleton
Published 2016“…Results showed that the filter parameters selection could significantly affect the amplitude of the sEMG as well as it may conceal the exact onset/offset time of the signal. The developed algorithm for the crosstalk recordings detection shows ability in determining the presence of the overlapped measurements period. …”
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A systematic review on emperor penguin optimizer
Published 2021“…Emperor Penguin Optimizer (EPO) is a recently developed metaheuristic algorithm to solve general optimization problems. …”
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Why coding? Why now? From coding to computational thinking through computational mathematics problem based learning (CM-PBL)
Published 2019“…Therefore, computational thinking is becoming an important implication in science and mathematics as well as in almost every other fields. This fact is reflected in the recent implementation of computer coding in the Malaysia’s school curriculum to nurture 21st century skills among students. …”
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Skyline queries on data with uncertain dimensions for efficient computation
Published 2018“…The performance of SkyQUD-T is studied against two naïve algorithms that are developed to reflect the best-case and worst-case scenarios. …”
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Keyword query processing interface model of ontological natural language manipulation
Published 2010“…The problems faced by keyword queries lie in the fact that the processing capability is restricted to the posed keywords, additional connecting words and relations among keywords are ignored. semi-structured data like RDF, relations are formally defined as properties among concepts. …”
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Art-Integration in Computational Thinking as an Unplugged Pedagogical Approach at A Rural Sarawak Primary School
Published 2020“…Promoting Computational Thinking (CT) in education has become an interest among scholars to develop CT skills to promote critical thinking and problem-solving skills among young people. …”
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An adaptive face recognition under constrained environment for smartphone database
Published 2018“…Finally, increasing the accuracy of a face recognition method under the complex environment of a smartphone face database remains a considerable challenge among researchers. The first objective of this study is to construct a smartphone face video database that closely reflects real-world videos. …”
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Government policy as a key moderator to contractors’ risk attitudes among Malaysian construction companies
Published 2020“…Partial least square-SEM is an appropriate analysis that was used to assess the results in the current research because its algorithm permits the unrestricted computation of cause-effect relationship models that use both reflective and formative measurement models. …”
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