Search Results - (( java implication based algorithm ) OR ( model implementation max algorithm ))
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An event-driven simulation for highest urgency first (HUF) : a latency and modulation aware bandwidth allocation algorithm for WiMAX base stations.
Published 2013“…Awide-spectrum of WiMAX simulators have been developed to provide analysis for advanced WiMAX system development, including the open source tool ns-2, and commercial software such as QualNet and OPNET Modeler. …”
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Digital beamforming implementation of switch-beam smart antenna system by using integrated digital signal processor and field-programmable gate array
Published 2008“…After modeling, the algorithm is implemented in DSP. By using the Hardware- In-Loop facility of DSP, the comparison between hardware implementation and software modeling is performed. …”
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Thesis -
3
Maximum 2-satisfiability in radial basis function neural network
Published 2020“…This paper presents a new paradigm in using MAX2SAT by implementing in Radial Basis Function Neural Network (RBFNN). …”
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MBIST implementation and evaluation in FPGA based on low-complexity March algorithms
Published 2024“…They were implemented in the Intel Max 10 DE10-Lite FPGA Development Board. …”
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WIMAX TESTBED
Published 2008“…This project also takes the first few steps of hardware implementation by using Real Time Workshop to convert the Simulink model into C codes which run outside MATLAB. …”
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Final Year Project -
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Effective downlink resource management for wimax networks
Published 2018“…Each of these three functions contains various modules to deal with several services such as data traffic, bandwidth resources, and packet delivery, respectively. We implemented the EDRM framework in a simulated environment, using OPNET Modeler. …”
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7
Antenna design using left-handed materials
Published 2008“…After modeling, the algorithm is implemented in DSP by using C and Code Composer Studio. …”
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Monograph -
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Weighted subsethood and reasoning based fuzzy time series for moving holiday electricity load demand forecasting
Published 2021“…The modified algorithm, Weighted Subsethood Segmented Fuzzy Time Series (WeSuSFTS) consists of four main phases; data pre-processing, model development, model implementation and model evaluation. …”
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Thesis -
10
M-Factors Fuzzy Time Series for Forecasting Moving Holiday Electricity Load Demand in Malaysia (S/O 14589)
“…The modified algorithm, Weighted Subsethood Segmented Fuzzy Time Series (WeSuSFTS) consists of four main phases; data pre-processing, model development, model implementation and model evaluation. …”
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Monograph -
11
Antenna design using left-handed materials
Published 2008“…After modeling, the algorithm is implemented in DSP by using C and Code Composer Studio. …”
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Monograph -
12
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. …”
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Thesis -
13
A multilayered convolutional sparse coding framework for modeling of pooling operation of convolution neural networks
Published 2019“…The multilayered version of CSC(ML-CSC) is shown to be connected to forward pass of CNNs and dictionary learning and sparse coding algorithms of this model are analyzed for solving classification and inverse problems in image processing. …”
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Proceeding Paper -
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Enhanced multi-agent approaches for efficient evacuation and rescue operations in managing disasters
Published 2025“…Building on the proposed algorithm and approaches, Agent-Based Simulation (ABS) models were developed to evaluate both evacuation and rescue operations in Al-Aqsa Mosque (AM) scenarios in Palestine. …”
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Thesis -
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Dynamic transmit antenna shuffling scheme for hybrid multiple-input multiple-output in layered architecture
Published 2010“…The MLSF-OFDM system is modeled over Monte-Carlo time-variant channel model with different maximum Doppler frequency. …”
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Malaysian license plate recognition system using Convolutional Neural Network (CNN) on web application / Nur Farahana Mahmud
Published 2022“…The obtained sample image will first undergo pre-processing and character extraction. 3 layers of a Convolutional Neural Network (CNN) model that contain convolutional, max pooling, flatten and dense were created and further trained. …”
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Student Project -
19
A connection selection method for vertical handoff in hybrid wireless environment
Published 2008“…We have analyzed our implemented model under different scenarios. Results from the experiments indicate the advantages of the proposed scheme.…”
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Conference or Workshop Item -
20
A host mobility support with adaptive network selection method in hybrid wireless environment
Published 2009“…We have analyzed our implemented model on different scena-rios. Results of the experiment indicate the advantages of the proposed scheme.…”
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