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Intelligent examination timetabling system using hybrid intelligent water drops algorithm
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Conference or Workshop Item -
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Neighbour-based on-demand routing algorithms for mobile ad hoc networks
Published 2017“…In terms of the applications, The DCFP is more suitable to be used for education applications, while the SNBR is a good algorithm designed to be used for rescue system as data and energy is the main concern. …”
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Thesis -
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Rain streak removal using emboss and spatial-temporal depth filtering technique in video keyframes
Published 2012“…The filter algorithm is based on an enhanced harmonic mean filter algorithm. …”
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Thesis -
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On determination of input parameters of the mass transfer process by fuzzy approach.
Published 2005“…This is an extension of the work done on the mass transfer process of a single drop in single stage RDC column. The algorithm is based on fuzzy approach and the assumptions made in mass transfer process as adopted in previous work are also being used. …”
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AntNet: a robust routing algorithm for data networks
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Immune-based technique for undergraduate programmes recommendation / Muhammad Azrill Mohd Zamri
Published 2017“…The right determination of an undergraduate programme selection by applicants is not an easy task. Some applicants who enrolled for unsuitable programme ended up failed to progress or dropped out from the programme. …”
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Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…The proposed population-based SKF algorithm and the single solution-based SKF algorithm use the scalar model of discrete Kalman filter algorithm as the search strategy to overcome these flaws. …”
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Towards enhanced remaining useful life prediction of lithium-ion batteries with uncertainty using optimized deep learning algorithm
Published 2025“…The effectiveness of the proposed LSA + LSTM model is assessed using battery aging data from the NASA dataset. In addition, to validate the prediction performance of the proposed LSA + LSTM model, extensive comparisons are performed with other popular optimization-based deep learning methods including artificial bee colony (ABC) based LSTM (ABC + LSTM), gravitational search algorithm (GSA) based LSTM (GSA + LSTM), and particle swarm optimization (PSO) based LSTM (PSO + LSTM) model using different error matrices. …”
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Quality of service management algorithms in WiMAX networks
Published 2015“…Thirdly, an energy algorithm called the Efficient Battery Life-aware Power Saving (EBLAPS) algorithm is proposed to address the problems of minimizing energy at the expense of response due to how energy sleep parameters are adjusted based on the residual energy and the use of standard sleep mode algorithms consumes high energy because of frequent transition to listening mode in the case of light traffic. …”
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Benchmark simulator with dynamic environment for job scheduling in grid computing
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Vehicle pick-up and drop-off schedule optimization in a university setting
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Final Year Project / Dissertation / Thesis -
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Recognising Malaysia traffic sign with rain drop disturbance using deep learning
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Final Year Project / Dissertation / Thesis -
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Implementation of Biological Sprouting Algorithm for NoC Fault Tolerance
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Conference or Workshop Item -
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Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks
Published 2025thesis::doctoral thesis -
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Development of a scalable video compression algorithm
Published 2012“…The result shows that the managed complexity algorithm based on Lagrangian Multiplier function outperforms the normal encoder. …”
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Proceeding Paper
