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1
Workflow optimization in distributed computing environment for stream-based data processing model / Saima Gulzar Ahmad
Published 2017“…This thesis proposes data-intensive workflow optimization algorithms. …”
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Thesis -
2
Energy Management in Integrated Microgrids: An Optimal Schedule Controller Utilizing Gradient Descent Algorithm
Published 2024“…The proposed approach is evaluated on the IEEE fourteen bus test system with integrated Microgrids (MGs) and distributed generations, using real load demand data from Perlis, Malaysia, for 24-hour test case studies. …”
Conference Paper -
3
Improved algorithm for evaluation of lightning induced overvoltage on distribution lines
Published 2010“…Additionally, various coupling methods to evaluate the lightning induced voltage have been proposed before reaching the final step of the algorithm which is the estimation of lightning induced overvoltage on the multi-conductors distribution line. …”
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4
The effect of dose calculation algorithms on the normal tissue complication probability values of thoracic cancer
Published 2015“…Four treatment plans are created and DVHs are evaluated based on criteria of acceptance level. NTCP values for thorax plan one and two are evaluated by using different algorithm. …”
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Monograph -
5
Traffic management algorithms for LEO satellite networks
Published 2016“…In dealing with traffic routing problem, two algorithms, Dijkstra's Shortest Path and Genetic Algorithm (GA) are combined together and enhanced to re-strategize a better routing mechanism for a heterogeneous mix of traffic classes ranging from traditional voice calls to multimedia data services in Low Earth Orbit (LEO) satellite networks. …”
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6
Development of an effective clustering algorithm for older fallers
Published 2022“…The purpose of this study was, therefore, to develop a clustering-based algorithm to determine falls risk. Data from the Malaysian Elders Longitudinal Research (MELoR), comprising 1411 subjects aged ≥55 years, were utilized. …”
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7
Kalman filter based impedance parameter estimation for transmission line and distribution line
Published 2019“…Therefore, a detailed study on developing and evaluating the new algorithms for transmission line parameter estimation is considered in this thesis. …”
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8
An Integrated Principal Component Analysis And Weighted Apriori-T Algorithm For Imbalanced Data Root Cause Analysis
Published 2016“…A semiconductor manufacturing case study with Work In Progress data and true alarm data is used to proof the proposed algorithm. …”
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9
Development of priority oriented scheduling method to increase the efficiency and reliability for automotive job
Published 2012“…Also, to evaluate the proposed method of scheduling, a case study in an automotive manufacturing company (IKCO) is conducted. …”
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10
Non-Parametric and Parametric Estimations of Cure Fraction Using Right-and Interval-Censored Data
Published 2011“…The parametric maximum likelihood estimation of the cure fraction was also investigated under the same circumstances considering two scenarios: 1) when covariates were excluded from the analysis. In this case, the estimation was developed based on the exponential and Weibull distributions using the right and interval censoring types; and 2) when covariates were incorporated into the analysis through the scaleparameter of the exponential distribution only using the same types of data censoring. …”
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11
Instance matching framework for heterogeneous semantic web content over linked data environment
Published 2021“…The output of each algorithm is evaluated, the results have shown that each algorithm performs well and outperforms the existing algorithms on all test cases in terms better output generation and effective handling of heterogeneity from different domains, which is a necessary concern in all data-intensive problems. …”
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12
Classification of imbalanced travel mode choice to work data using adjustable svm model
Published 2021“…For the majority class, the accuracy improvement was substantial. This algorithm can be applied to other tasks in the transport planning domain that deal with uneven data distribution. …”
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Article -
13
Reassembly and clustering bifragmented intertwined jpeg images using genetic algorithm and extreme learning machine
Published 2019“…However, completely recovering intertwined Bifragmented JPEG images into their original form without missing any parts or data of the image is a challenging due to the intertwined case might occur with non-JPEG images such as PDF, Text, Microsoft Office or random data. …”
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14
Exploring machine learning algorithms for accurate water level forecasting in Muda river, Malaysia
Published 2024“…No noticeable improvement has been achieved after incorporating meteorological data into the models. Even though the lowest reported performance was reported by the XGBoost, it is the faster of the three algorithms due to its advanced parallel processing capabilities and distributed computing architecture. …”
Article -
15
A Hydrologic Model for Studying the Climate Change Impact on Evapotranspiration and Water Yield in a Humid Tropical Watershed
Published 1998“…A procedure was presented and evaluated for subdividing a watershed into GRUs through the application of an unsupervised pattern recognition algorithm in conjunction with topographic data to Landsat Thematic Mapper (TM) data in a GIS environment. …”
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16
A Hybrid Metaheuristic Technique Based on Grey Wolf Optimisation, Symbiotic Organism Search, and Ant Colony Optimisation for Solving Multi-Objective Vehicle Routing Problems
Published 2025“…The results were followed by actual shipment data from PT Pos Indonesia’s Boyolali to evaluate its consistency, computational efficiency, and solution quality. …”
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17
High-throughput and energy-efficient Contiki MAC layer scheme in IEEE 802.15.4 for structural health monitoring
Published 2021“…Some of these challenges result from the transmission of huge amounts of data in each data sensing period and the complexity of SHM algorithms. …”
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18
Optimized techniques for landslide detection and characteristics using LiDAR data
Published 2018“…The intensity derived from the LiDAR data, geometric and texture features significantly affects the accuracy of differentiating shallow from deep-seated landslides. …”
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19
An optimal under frequency load shedding scheme for islanded distribution network / Amalina Izzati Md Isa
Published 2018“…The performance of the proposed UFLS technique is evaluated on two scenarios i.e event and response based through simulation studies on the 1 lkV Malaysia distribution network. …”
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20
Inversion of 2D and 3D DC resistivity imaging data for high contrast geophysical regions using artificial neural networks / Ahmad Neyamadpour
Published 2010“…In the case of 3D study of pole - dipole data, the gradient descent with momentum and an adaptive learning rate algorithm is found to be the most efficient paradigm. …”
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