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1
Fuzzy modeling using Bat Algorithm optimization for classification
Published 2018“…A Sazonov Engine which is a fuzzy java engine is use to apply Bat Algorithm in the experiment. …”
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Undergraduates Project Papers -
2
Chain code algorithm in deriving T-Junction and region of a freehand sketch
Published 2004“…The algorithm is based on 8-connected 3x3 windows of Freeman chain code. …”
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3
Design of intelligent Qira’at identification algorithm
Published 2017“…To evaluate the algorithm, 350 samples for 10 types of Qira’at recitation are in used, and for justifying the best pattern classification, few algorithms are tested in the early preliminary evaluation with K-Nearest Neighbour, GMM and PPCA. …”
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Thesis -
4
Mathematical models and optimization algorithms for low-carbon Location-Inventory-Routing Problem with uncertainty
Published 2024“…This thesis also aims to solve the low-carbon LIRP model with uncertainty factors such as carbon trading, customer demand, shortages, and soft time windows using advanced algorithms. …”
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5
Predictive dynamic CFD approach to reducing airborne transmission in naturally ventilated hospital rooms: Impact of window opening angles during transitional cold seasons in China...
Published 2025“…Stepwise polynomial regression has been validated as a novel algorithm that can effectively predict window opening angles. …”
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Thesis -
6
Fair bandwidth distribution marking and scheduling algorithm in network traffic classification
Published 2019“…Second, an Optimized time sliding window packet marker (OTSWTCM) algorithm. This algorithm depends on the adaptability of the concept in the ITSWTCM, I2TSWTCM and M2I2TSWTCM algorithms for affecting the fairness and multiple protocols. …”
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7
Local-based stereo matching algorithm using multi-cost pyramid fusion, hybrid random aggregation and hierarchical cluster-edge refinement
Published 2023“…In this thesis, the accuracy of the proposed algorithm was evaluated using two standard online benchmarking database systems. …”
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8
Bi-objective mixed integer nonlinear programming model for low carbon location-inventory-routing problem with time windows and customer satisfaction
Published 2024“…The model considers cost factors, ensuring that out-of-stock inventory is not allowed. …”
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Article -
9
Fuzzy time series sliding window model for rainfall forecasting / Siti Nor Fathihah Azahari
Published 2017“…At the same time, FTS is combined with Sliding Window Algorithm (SWA) to enhance the model. Several enhancements made to SWA is the second objective in this study. …”
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Thesis -
10
Agent-based extraction algorithm for computational problem solving
Published 2015“…The tool is used to evaluate the accuracy of the proposed extraction algorithm to extract the appropriate information which are needed. …”
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11
Engine fault diagnosis using probabilistic neural network
Published 2021“…The proposed PNN is trained using the collected engine fault data from experiment and the probability density of PNN is determined based on the Parzen window estimation method. …”
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Proceedings -
12
On-chip communication system modeling approach for reability analysis focusing on functional failures
Published 2012“…The algorithms were verified and the resultsshow that minimum accuracy of 96% is maintained by applying the proposed crosstalk modeling approach while the number of required simulations is reduced by at least factor of 59% for modeling window sizes bigger than 3. …”
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13
ETERS: A comprehensive energy aware trust-based efficient routing scheme for adversarial WSNs
Published 2021“…The proposed multi-trust approach is used to analyze the credibility of sensitive monitored data. …”
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Article -
14
Determining malaria risk factors in Abuja, Nigeria using various statistical approaches
Published 2018“…Data collected were used for the multilevel analysis, Markov Chain Monte Carlo (MCMC) simulation via WinBUGS algorithm and influence diagrams for BBNs. …”
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Thesis -
15
Temporal study of urban growth and land surface temperature extraction: a study of the Klang Valley area
Published 2014“…In addition, the extraction of land surface temperature was done by using the model of the mono-window algorithm. Our findings show that the rate of urbanization of the study area is 37.725 km square per year. …”
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Proceeding Paper -
16
Temporal study of urban growth and land surface temperature extraction: a study of the Klang Valley area / Illyani Ibrahim ... [et al.]
Published 2014“…This image was processed for appropriate atmospheric and geometric correction and the extraction of land surface temperature by using the model of the mono-window algorithm. Our findings show that the rate of urbanization of the study area is 37.725 km square per year. …”
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Conference or Workshop Item -
17
Predictive Analytics Of Cigs Solar Cell Using A Combinational Gra-Mlr-Ga Model
Published 2020“…Thus, this paper proposes a newly predictive analytics using a combination of Grey relational analysis (GRA), multiple linear regressions (MLR) and genetic algorithm (GA) to optimize the CIGS solar cell parameters for better device performances. …”
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Article -
18
Cryptanalysis on the modulus N=p2q and design of rabin-like cryptosystem without decryption failure
Published 2015“…The first contribution of this thesis deals with the level of security and the difficulty of factoring the modulus N = p2q. As a consequence, we develop four cryptanalysis methods by which to show that N = p2q can be factored in polynomial time under certain conditions. …”
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Thesis -
19
Numerical Modelling of the Electric Vehicle Cabin Cooling
Published 2019“…The thermal load model is integrated into a refrigeration model at the cabin space subsystem in order to allow the study of the effects of thermal loads on the performance of the refrigeration circuit using a single model. The model is validated for accuracy and it is found to have an average relative error of 15.11 %. …”
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Final Year Project / Dissertation / Thesis -
20
Predictive modeling and feature attribution of CO₂ adsorption on LDH-derived materials using machine learning approach
Published 2025“…Two-factor dependence plots offered an explicit view of how the interaction between two input features influences the model’s prediction. …”
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