Attention-based sound classification pipeline with sound spectrum by Tan, Ki In, Yean, Seanglidet, Lee, Bu-Sung

“…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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Attention based graph Bi-LSTM networks for traffic forecasting by Zhao, Han, Yang, Huan, Wang, Yu, Wang, Danwei, Su, Rong

“…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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Fault-injection based attacks and countermeasure on deep neural network accelerators by Liu, Wenye

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ABCDM : an Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis by Basiri, Mohammad Ehsan, Nemati, Shahla, Abdar, Moloud, Cambria, Erik, Acharya, U. Rajendra

“…To address these problems, we propose an Attention-based Bidirectional CNN-RNN Deep Model (ABCDM). …”
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An automatic grading model for semantic complexity of english texts using bidirectional attention-based autoencoder by Chen, Ruo Han, Ng, Boon Sim, Paramasivam, Shamala, Ren, Li

An integrated framework for multi-state driver monitoring using heterogeneous loss and attention-based feature decoupling by Hu, Zhongxu, Zhang, Yiran, Xing, Yang, Li, Qinghua, Lv, Chen

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Detection of computer graphics using attention-based dual-branch convolutional neural network from fused color components by He, Peisong, Li, Haoliang, Wang, Hongxia, Zhang, Ruimei

“…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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Predicting drivers’ route trajectories in last-mile delivery using a pair-wise attention-based pointer neural network by Mo, Baichuan, Wang, Qingyi, Guo, Xiaotong, Winkenbach, Matthias, Zhao, Jinhua

“…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 by Li, Zhenggang

“…I this thesis, I present the solution-based synthesis of CZTS nanoparticles and the deposition of CZTS thin films. …”
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Near-infrared-driven Cr(vi) reduction in aqueous solution based on a MoS2/Sb2S3 photocatalyst by Yuan, Xingzhong, Wang, Hui, Wang, Junjie, Zeng, Guangming, Chen, Xiaohong, Wu, Zhibin, Jiang, Longbo, Xiong, Ting, Zhang, Jin, Wang, Hou

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Development of Attention-based Prediction Models for All-cause Mortality, Home Care Need, and Nursing Home Admission in Ageing Adults in Spain Using Longitudinal Electronic Health Record Data by Carrasco-Ribelles, LA, Cabrera-Bean, M, Khalid, S, Roso-Llorach, A, Violán, C

Principled Exploration of Bipyridine and Terpyridine Additives to Promote Methylammonium Lead Iodide Perovskite Crystallization by Hartono, Noor Titan Putri, Ani Najeeb, Mansoor, Li, Zhi, Nega, Philip W., Fleming, Clare A., Sun, Xiaohe, Chan, Emory M., Abate, Antonio, Norquist, Alexander J., Schrier, Joshua, Buonassisi, Tonio

“…We present a systematic exploration of nine (9) bipyridine- and terpyridine-based additives selected from 29 candidates using high-throughput single-crystal growth. To combat selection bias and generate hypotheses for future experimental cycles of learning, we featurize candidate additives using Mordred descriptors and compare similarity metrics. …”
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Methodological, political and legal issues in the assessment of the effects of nanotechnology on human health by Schulte, Paul A, Riediker, Michael, Fatkhutdinova, Liliya, Bergamaschi, Enrico, Canu, Irina Guseva

“…Forming ENM worker cohorts from a combination of smaller cohorts and overcoming selection bias are also challenges. National or international registries for monitoring the exposures and health of ENM workers would be helpful for epidemiological studies, but the creation of such a registry and ENM worker cohorts will require political support and dedicated funding at the national and international levels. …”
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The GCSE attainment gap: assessing the influence of permanent school exclusion by Hills, Stephen, Walker, Matthew, Guinn, James, Kent, Aubrey

“…This is a critical limitation of the research due to the influence of confounding variables and sample selection bias. Using the National Pupil Database and a full cohort of UK pupils (N=590,092), our analysis tracked a sample of 1,490 pupils permanently excluded in year 11 of the English education system in 2018/19. …”
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High-performance partially aligned semiconductive single-walled carbon nanotube transistors achieved with a parallel technique by Wang, Yilei, Pillai, Suresh Kumar Raman, Chan-Park, Mary B.

“…However, large-scale solution-based parallel assembly of SWNTs to obtain high-performance transistor devices is challenging. …”
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Investigation of solar cell carrier lifetime using photoconductance lifetime measurements by Sng, Joseph Ding Wen

“…Consequently, such solution based TMOs are attractive for the fabrication of Si/TMO solar cells. …”
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Made to order: discovering monotonic temporal changes via self-supervised video ordering by Yang, C, Xie, W, Zisserman, A

“…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. …”

Ending the Syrian conflict : foreign intervention or renewed political process? by Zulkifli Mohamed Sultan

“…A NATO-led intervention is possible but a diplomatic solution based on the Annan peace plan, with the support of Russia and China, is more likely to achieve results.…”
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Layer-by-layer synthesis of titanium oxide nano structure by Shen, Samuel Yaodong.

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Preferences of Persons With or at Risk for Hepatitis C for Long-Acting Treatments by Weld, Ethel D, Astemborski, Jacqueline, Kirk, Gregory D, Sulkowski, Mark S, Katz, Stephanie, Rothman, Richard, Solomon, Sunil S, Matthews, Gail V, Hsieh, Yu Hsiang, Verma, Malvika, Traverso, Giovanni, Swindells, Susan, Owen, Andrew, Feld, Jordan, Flexner, Charles, Mehta, Shruti H, Thomas, David L

“…When compared directly to taking pills, differences were observed in the relative preference for an injection based on age (P<.001), location (P<.001), and prior receipt of HCV treatment (P=.005) but not sex. …”
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