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Stereolithography 3D printing development of 3D printing machine controller using the predefined closest-distance volume interpolator system
Published 2019“…The real-time contour generation approach instantly generates single layer of contour whenever the build height parameter is fed into the algorithm. …”
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Research Report -
2
Contour generation for mask projection stereolithography 3D printing
Published 2019“…The real-time contour generation approach instantly generates single layer of contour whenever the build height parameter is fed into the algorithm. …”
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Thesis -
3
RSA Encryption & Decryption using JAVA
Published 2006“…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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Final Year Project -
4
Computationally efficient single layer transformer convolutional encoder for accurate price prediction of agriculture commodities
Published 2025“…Therefore, this study introduces the single-layer Transformer Convolutional Encoder algorithm (STCE), an improved version of the traditional transformer encoder. …”
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Article -
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Provider independent cryptographic tools
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Monograph -
7
Cross layer design in 802.16d
Published 2009“…The construction of the routing path with multi-channel single transceiver system and single channel single transceiver is proposed together with centralized scheduling (CS) algorithms that reduce the existing interferences in WMN. …”
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Article -
8
Classification of multichannel EEG signal by single layer perceptron learning algorithm
Published 2014“…Motor imagery (MI) related Electroencephalogram (EEG) signal classification is one of the main challenge in designing a brain computer interface (BCI) system. Single Layer Perceptron Learning (SLPL) algorithm has a very low computational requirement which makes it suitable for online BCI system. …”
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Proceeding Paper -
9
Simulation of single and dual layered rapid pressure swing adsorption
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Thesis -
10
Reducing network congestion by separating nets of single-row networks into layers
Published 2011“…These results may further be improved by partitioning the network into two or more layers. In this paper, a technique for partitioning the nodes from a single-row network into several layers of planar graphs by using k-means algorithm has been proposed. …”
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Article -
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Robotic indoor path planning using dijkstra's algorithm with multi-layer dictionaries
Published 2016“…Previously, the algorithm was used to optimise single parameter (such as distance, time and fuel) for movement between two places. …”
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Conference or Workshop Item -
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Improvement of Centralized Routing and Scheduling Using Cross-Layer Design and Multi-Slot Assignment in Wimax Mesh Networks
Published 2009“…This thesis proposes an optimized strategy namely cross-layer design in routing algorithms used find the best route for all SSs and scheduling algorithms, used to assign a time slot for each possible node transmission. …”
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Thesis -
13
Feedforward neural network for solving particular fractional differential equations
Published 2024“…Then, a single hidden layer of FNN based on Chelyshkov polynomials with an extreme learning machine algorithm (SHLFNNCP-ELM) is constructed for solving FDEsC. …”
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Thesis -
14
Functional link neural network with modified bee-firefly learning algorithm for classification task
Published 2016“…The single layer property of FLNN also make the learning algorithm used less complicated compared to MLP network. …”
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Thesis -
15
Minimize Network Congestions in Single-Row Networks
Published 2011“…These results may further be improved by partitioning the network into two or more layers. In this paper, a technique based on the graph clustering concept for partitioning the nodes from a single-row network into several layers of planar graphs by using k-means algorithm has been proposed. …”
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Article -
16
Cross-layer design using multi-channel system in WiMAX mesh networks
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Conference or Workshop Item -
17
Learning Algorithm effect on Multilayer Feed Forward Artificial Neural Network performance in image coding
Published 2007“…Based on Gradient Descent, Conjugate Gradient, Quasi-Newton techniques three different error back propagation algorithms have been developed for use in training two types of neural networks, a single hidden layer network and three hidden layers network. …”
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Article -
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Fault classification in transmission line using single layer feed-forward network trained by extreme learning machine / Muhamad Azfar Abd Ghafar
Published 2015“…This paper present a study of fault classification in transmission line with a combination of wavelet transform (WT) and single layer feed-forward network (SLFN) trained by Extreme Learning Machine (ELM) algorithm. …”
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Thesis -
19
Fault classification in transmission line using single layer feed-forward network trained by extreme learning machine / Muhamad Azfar Abd Ghafar
Published 2015“…This paper present a study of fault classification in transmission line with a combination of wavelet transform (WT) and single layer feed-forward network (SLFN) trained by Extreme Learning Machine (ELM) algorithm. …”
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Student Project -
20
Evaluation of MLP-ANN Training Algorithms for Modeling Soil Pore-Water Pressure Responses to Rainfall
Published 2013“…The ANN model comprised eight neurons in the input layer, four neurons in the hidden layer, and a single neuron in the output layer representing an 8-4-1 ANN architecture. …”
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