Search alternatives:
"selection based" » "detection based" (Expand Search), "skeleton based" (Expand Search), "injection based" (Expand Search)
"solution based" » "location based" (Expand Search), "solution phase" (Expand Search), "simulation based" (Expand Search)
"selection a" » "selection _" (Expand Search), "selection via" (Expand Search), "reflection a" (Expand Search)
"selection based" » "detection based" (Expand Search), "skeleton based" (Expand Search), "injection based" (Expand Search)
"solution based" » "location based" (Expand Search), "solution phase" (Expand Search), "simulation based" (Expand Search)
"selection a" » "selection _" (Expand Search), "selection via" (Expand Search), "reflection a" (Expand Search)
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Attention-based sound classification pipeline with sound spectrum
Published 2024“…Given the recent success in training a deep learning model to classify sounds with a limited sound spectrum, we developed a pipeline for maximizing the performance of sound spectrum input with attention-based model. Using data from ESC-50, we discover that the use of transformers improve accuracy over the conventional neural networks by 22.5%; however the limited frequency bands in NoiseCapture sound spectrum impairs the model accuracy, necessitating the use of data augmentation. …”
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Conference Paper -
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Attention based graph Bi-LSTM networks for traffic forecasting
Published 2021“…In this paper, we propose a novel end-to-end deep learning model, Attention based Graph Bi-LSTM networks (AGBN) to perform the traffic forecasting task. …”
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Conference Paper -
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ABCDM : an Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis
Published 2021“…To address these problems, we propose an Attention-based Bidirectional CNN-RNN Deep Model (ABCDM). …”
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Detection of computer graphics using attention-based dual-branch convolutional neural network from fused color components
Published 2021“…To overcome the above-mentioned limitation, we proposed an attention-based dual-branch convolutional neural network (AD-CNN) to extract robust representations from fused color components. …”
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Journal Article -
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Predicting drivers’ route trajectories in last-mile delivery using a pair-wise attention-based pointer neural network
Published 2024“…This paper proposes a pair-wise attention-based pointer neural network for this prediction task using drivers’ historical delivery trajectory data. …”
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Solution based synthesis of Cu2ZnSnS4 nanoparticles and thin films for solar cell application
Published 2014“…I this thesis, I present the solution-based synthesis of CZTS nanoparticles and the deposition of CZTS thin films. …”
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Thesis -
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Near-infrared-driven Cr(vi) reduction in aqueous solution based on a MoS2/Sb2S3 photocatalyst
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Journal Article -
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Spoofing speech detection using temporal convolutional neural network
Published 2018“…Specifically, the proposed method brings a significant performance boost for the unit selection based spoofing speech detection.…”
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Conference Paper -
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High-performance partially aligned semiconductive single-walled carbon nanotube transistors achieved with a parallel technique
Published 2014“…However, large-scale solution-based parallel assembly of SWNTs to obtain high-performance transistor devices is challenging. …”
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Journal Article -
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Phase measurements based indoor visible light positioning systems
Published 2020“…We design the T-selection and the V-selection strategies using hybrid DPDOA and RSS measurements as fundamental positioning standard, and show that the T-selection based system outperforms the V-selection based system.…”
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Thesis-Doctor of Philosophy -
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Investigation of solar cell carrier lifetime using photoconductance lifetime measurements
Published 2020“…Consequently, such solution based TMOs are attractive for the fabrication of Si/TMO solar cells. …”
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Final Year Project (FYP) -
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Product review summarization
Published 2021“…Extractive approaches are often selection-based techniques where sentences of the resulting summary generated are directly selected from the dataset reviews. …”
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Final Year Project (FYP) -
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Optimisation strategies for directed evolution without sequencing
Published 2024“…We then expand our methods to the context of emerging experimental techniques in directed evolution, which allow for single-cell selection based on fitness objectives defined from any combination of measurable traits. …”
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Made to order: discovering monotonic temporal changes via self-supervised video ordering
Published 2024“…We also demonstrate that the attention-based attribution maps function as effective prompts for segmenting the changing regions, and that the learned representations can be used for downstream applications. …”
Conference item