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1
Modelling and optimisation of oil palm trunk core biodelignification using neural network and genetic algorithm
Published 2019“…These models were used to find the optimised the network output using genetic algorithm search. …”
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Conference or Workshop Item -
2
Fast zerox algorithm for routing in optical multistage interconnection networks.
Published 2010“…It is shown that using the new iCM, the original ZeroX algorithm is simplified, thus improved the algorithm by reducing the time to complete routing process. …”
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3
Distance vector-hop range-free location algorithm for wireless sensor network
Published 2015“…These localization algorithms are used to measure the actual distances between nodes and eventually determine the respective locations. …”
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4
Application of artificial neural network genetic algorithm in inferential estimation and control of a distillation column
Published 2005“…Comparisons were also made to the feedforward network model trained using Levenberg-Marquardt (LM) training algorithm as well as Elman network. …”
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5
Fast and efficient sequential learning algorithms using direct-link RBF networks
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Book Section -
6
Static image of hand gesture for numerical sign language recognition system using backfrofagation neural network / Erman Ibrahim
Published 2007“…This project is about recognizing hand gesture for sign language using backpropagation (BP) algorithm that is one of the training algorithms used in the Artificial Neural Network (ANN). …”
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7
A Novel Hybrid Harris Hawk-Arithmetic Optimization Algorithm for Industrial Wireless Mesh Networks
Published 2023“…The proposed algorithm was also applied to a real-world industrial wireless mesh network simulation and experimentation on the real-time pressure process control system. …”
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8
Hybrid bat algorithm-artificial neural network for modeling operating photovoltaic module temperature: article / Noor Rasyidah Hussin
Published 2014“…Bat algorithm is an optimizer tool and developed using of echolocation characteristics of bats, while the neural network is learning methods that approach the human brain using artificial neurons. …”
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9
Performance evaluation of vertical handoff in fourth generation (4G) networks model
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Working Paper -
10
Static and self-scalable filter range selection algorithms for peer-to-peer networks
Published 2011“…For peer-to-peer networks, Loo (2005) selection algorithm has been selected as the benchmark as it is an established algorithm that claimed to be the best proposed for this network. …”
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11
Hybrid bat algorithm hybrid-artificial neural network for modeling operating photovoltaic module temperature / Noor Rasyidah Hussin
Published 2014“…Bat algorithm is an optimizer tool and developed using of echolocation characteristics of bats, while the neural network is learning methods that approach the human brain using artificial neurons. …”
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12
A hybrid algorithm for finding shortest path in network routing.
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13
Enhancement of parallel thinning algorithm for handwritten characters using neural network
Published 2005“…This work is an attempt to devise an effective thinning method by applying a neural network model, used for handwritten characters. Parker’s parallel thinning algorithm is chosen in this project because it satisfies the requirements of producing good quality skeletons although it does not provide an efficient processing speed. …”
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14
Self-similar network traffic using Random Midpoint Displacement (RMD) algorithm / Jumaliah Saarini
Published 2006“…This project is to generate the self-similar network traffic. It is generally accepted that self-similar or fractal process may provide better models for in modern network traffic than Poisson process. …”
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Neural network based model predictive control for a steel pickling process
Published 2009“…The Levenberg-Marquardt algorithm is used to train the process models. In the control (MPC) algorithm, the feedforward neural network models are used to predict the state variables over a prediction horizon within the model predictive control algorithm for searching the optimal control actions via sequential quadratic programming. …”
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17
Performances of machine learning algorithms for binary classification of network anomaly detection system
Published 2018“…Several issues regarding these available labelled network datasets are discussed in this paper. The aim of this paper to build a network anomaly detection system using machine learning algorithms that are efficient, effective and fast processing. …”
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18
DTWFF-pitch feature and faster neural network convergence for speech recognition
Published 2007“…This paper presents the pre-processing of speech templates for artificial neural network (ANN). …”
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19
Effect of chaos noise on the learning ability of back propagation algorithm in feed forward neural network
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Working Paper -
20
Leader election algorithm in 2D torus networks with the presence of one link failure
Published 2010“…In a network of N nodes connected by two dimensional torus network, the new algorithm uses O(N) messages to elect a new leader in O(root v) lime steps. …”
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