Search Results - (( model evaluation methods algorithm ) OR ( rate information resources algorithm ))*
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Algorithm Development of Bidirectional Agglomerative Hierarchical Clustering Using AVL Tree with Visualization
Published 2024thesis::doctoral thesis -
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Fair bandwidth distribution marking and scheduling algorithm in network traffic classification
Published 2019“…This method manages resources at the core routers to guarantee the QoS. …”
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Application of machine learning and artificial intelligence in detecting SQL injection attacks
Published 2024“…The study uses a mixed-methods approach to evaluate how well different AI and ML algorithms identify SQL injection attacks by combining algorithmic evaluation with empirical investigation. …”
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Air quality forecasting and mapping in Malaysian urban areas: A hybrid deep learning approach
Published 2025text::Thesis -
5
Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq
Published 2016“…In this study, the potential of a relatively new data-driven method, namely the extreme learning machine (ELM) method, was explored for forecasting monthly stream-flow discharge rates in the Tigris River, Iraq. …”
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A low complexity resource allocation algorithm for OFDMA cooperative relay networks with fairness and QoS guaranteed
Published 2011“…The remaining resources are then allocated to the users with higher instantaneous rates in order of magnitude. …”
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Neural Networks Ensemble: Evaluation of Aggregation Algorithms for Forecasting
Published 2013“…These algorithms include equal�weights combination of Best NN models, combination of trimmed forecasts, combination through Variance-Covariance method and Bayesian Model Averaging. …”
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9
Maximum rate resource allocation algorithms with multiuser diversity and QoS support for downlink OFDMA based WiMAX system
Published 2016“…Both approaches allocate appropriate resources and provide higher data rates for different service types by employing a weighted-rate factor and feedback information delay which are made to be greater than the minimum QoS requirements. …”
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10
Adaptive resource allocation algorithms with QoS support in OFDMA-based WiMAX networks
Published 2014“…The first and second contributions are two slot resource allocation algorithms for OFDMA downlink (DL) scheduling, namely Weighted-rate Adaptive Slot Allocation (WASA) and Feedback Delay-based Slot Allocation (FDSA). …”
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11
Unifying the evaluation criteria of many objectives optimization using fuzzy Delphi method
Published 2021“…Thus, unify a set of most suitable evaluation criteria of the MaOO is needed. This study proposed a distinct unifying model for the MaOO evaluation criteria using the fuzzy Delphi method. …”
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Evaluating the effectiveness of integrated benders decomposition algorithm and epsilon constraint method for multi-objective facility location problem under demand uncertainty
Published 2017“…For this aim, a multi-objective facility location allocation model is proposed. In this case, an integrated BDA and epsilon constraint method are proposed and it is shown that how Pareto points in multi-objective facility location model can be found. …”
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Standardizing and weighting the evaluation criteria of many-objective optimization competition algorithms based on fuzzy delphi and fuzzy-weighted zero-inconsistency methods
Published 2021“…The evaluation criteria of Many Objective Optimization algorithm (MaOO) play a critical role in evaluating the competition MaOO algorithms. …”
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14
Incorporating the range-based method into GridSim for modeling task and resource heterogeneity
Published 2017“…In this paper, we propose a new simulation model that incorporates the range-based method into GridSim for modeling and simulating heterogeneous tasks and resources in order to capture the inherent heterogeneity of Grid environments that later can be used by other researchers to test their algorithms.…”
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15
Evaluation of Lightning Current Using Inverse Procedure Algorithm.
Published 2013“…The proposed method considers on all electromagnetic fields components and can evaluate full shape of current, velocity and constant parameters of current models in contrast with previous studies. …”
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Incremental learning for large-scale stream data and its application to cybersecurity
Published 2015“…These results indi�cate that the proposed method can improve the RAN learning algorithm towards the large-scale stream data processing. …”
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Hybrid performance measures and mixed evaluation method for data classification problems
Published 2012“…In fact, no previous studies employ mixed evaluation method in evaluating and comparing the performance measures. …”
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18
Analytical Study Of Machine Learning Models For Stock Trading In Malaysian Market
Published 2024“…By setting the ML algorithms and their parameter along with using Walk-Forward Analysis (WFA) method, the algorithm design of trading signal was evaluated based on two groups of evaluation indicators, namely directional and performance. …”
thesis::master thesis -
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Development of an Automated Technique for Reconstructing Jawi Characters in Historical Documents
Published 2007“…A noise model has been developed to test the reliability of the proposed algorithm. …”
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20
Visualisasi pohon sintaksis berasaskan model dan algoritma sintaks ayat bahasa Melayu
Published 2018“…To achieve these objectives (the algorithm, the model and the X-bar rules), five phases of research methods involved namely identifying the research gap, the sentence and rules categorization, model and algorithm design phase, prototype development evaluation and conclusion phase. …”
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