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WiMAX Traffic Forecasting Based On Artificial Intelligence Techniques
Published 2024thesis::doctoral thesis -
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The application of neural networks and min-max algorithm in digital congkak
Published 2013“…A digital Congkak was developed based on Mancala, African traditional game which is similar to Congkak. To make it intelligent, its player agent was developed using a combination of Neural Networks and Min-Max algorithm. …”
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Fair uplink bandwidth allocation and latency guarantee for mobile WiMAX using fuzzy adaptive deficit round robin
Published 2014“…In this paper, an efficient bandwidth allocation algorithm for the uplink traffic in mobile WiMAX is proposed. …”
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Data normalization techniques in swarm-based forecasting models for energy commodity spot price
Published 2014“…Data mining is a fundamental technique in identifying patterns from large data sets.The extracted facts and patterns contribute in various domains such as marketing, forecasting, and medical.Prior to that, data are consolidated so that the resulting mining process may be more efficient.This study investigates the effect of different data normalization techniques.which are Min-max, Z-score and decimal scaling, on Swarm-based forecasting models.Recent swarm intelligence algorithms employed includes the Grey Wolf Optimizer (GWO) and Artificial Bee Colony (ABC).Forecasting models are later developed to predict the daily spot price of crude oil and gasoline.Results showed that GWO works better with Z-score normalization technique while ABC produces better accuracy with the Min-Max.Nevertheless, the GWO is more superior than ABC as its model generates the highest accuracy for both crude oil and gasoline price.Such a result indicates that GWO is a promising competitor in the family of swarm intelligence algorithms.…”
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Prediction and multi-criteria-based schemes for seamless handover mechanism in mobile WiMAX networks
Published 2013“…However, mobility in WiMAX system is still an issue when a mobile station (MS) moves and its connection is handed over between base stations (BSs). …”
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Modern fuzzy min max neural networks for pattern classification
Published 2019“…To build an efficient classifier model, researchers have introduced hybrid models that combine both fuzzy logic and artificial neural networks. Among these algorithms, Fuzzy Min Max (FMM) neural network algorithm has been proven to be one of the premier neural networks for undertaking the pattern classification problems. …”
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Embedded Artificial Intelligent (AI) To Navigate Cart Follower
Published 2018“…The training algorithm may also vary with different sets of parameters, number of neurons and activation function. …”
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Reactive memory model for ant colony optimization and its application to TSP
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Modified HOS based Eigenvector algorithm for improvement of poor SNR of Seismic data
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Vehicular ad-hoc network (vanets) for electrical vehicle charging management
Published 2025text::Thesis -
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Performance comparison of GA and PSO based ANN training on medical dataset / Muhammad Amirul Danish Jamal
Published 2025“…Future studies will aim to refine PSO configurations and broaden its application to a wider range of clinical situations.…”
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Adaptive and optimized radio resource allocation algorithms for OFDMA based networks
Published 2015“…Wireless networks based on 4G standards like WiMAX and LTE have embraced OFDMA as the downlink technology due to its capabilities and flexibilities. …”
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Performance analysis of vertical handover in vehicular ad-hoc network using media independent handover services
Published 2017“…Hence, this study will help and guide the Intelligent Transport System (ITS) and Telecommunication System (Telcos) provider in Malaysia to cater the problems of internet services by increasing the QoS of networks for the user's convenience.…”
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Real time self-calibration algorithm of pressure sensor for robotic hand glove system
Published 2019“…The model was tested using an untrained input data set in order to verify the Proposed model’s capability for implementing a self-calibration algorithm. We find that, the Proposed LMBP-ANN model for self-calibration purposes is able to successfully predict the desired pressure over time, even the uncertain behaviour of the pressure sensors due to its material creep. …”
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