Constructing Attention-LSTM-VAE Power Load Model Based on Multiple Features by Chaoyue Ma, Ying Wang, Feng Li, Huiyan Zhang, Yong Zhang, Haiyan Zhang

“…This paper proposes a variational autoencoder (VAE) long short-term memory (LSTM) load model based on the attention mechanism (Attention). First, the Prophet data decomposition method is used to decompose long sequences of load data at multiple time scales. …”
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Forecasting Stock Market Indices Using Integration of Encoder, Decoder, and Attention Mechanism by Tien Thanh Thach

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QAR Data Imputation Using Generative Adversarial Network with Self-Attention Mechanism by Jingqi Zhao, Chuitian Rong, Xin Dang, Huabo Sun

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A composite improved attention convolutional network for motor imagery EEG classification by Wenzhe Liao, Zipeng Miao, Shuaibo Liang, Linyan Zhang, Chen Li

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Nutritional Status of Children with Attention Deficit Hyperactivity Disorder: A Pilot Study by Joy Y. Kiddie, Margaret D. Weiss, David D. Kitts, Ryna Levy-Milne, Michael B. Wasdell

“…This is a pilot study of the dietary intake and nutrient status of children with Attention Deficit Hyperactivity Disorder (ADHD). Method. …”
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Predicting amyloid proteins using attention-based long short-term memory by Zhuowen Li

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AMEEGNet: attention-based multiscale EEGNet for effective motor imagery EEG decoding by Xuejian Wu, Xuejian Wu, Yaqi Chu, Yaqi Chu, Qing Li, Yang Luo, Yang Luo, Yiwen Zhao, Yiwen Zhao, Xingang Zhao, Xingang Zhao

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ADA-NAF: Semi-Supervised Anomaly Detection Based on the Neural Attention Forest by Andrey Ageev, Andrei Konstantinov, Lev Utkin

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Driver Takeover Performance Prediction Based on LSTM-BiLSTM-ATTENTION Model by Lijie Chen, Daofei Li, Tao Wang, Jun Chen, Quan Yuan

“…In this regard, this study proposes a hybrid LSTM-BiLSTM-ATTENTION algorithm for driver takeover performance prediction. …”
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Graph attention convolution network for power flow calculation considering grid uncertainty by Haochen Li, Liqun Liu, Shaojuan Yu, Qiusheng He, Qingfeng Wu, Jianfeng Zhang, Qinxiong Lu

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Nonparametric analysis of inter‐individual relations using an attention‐based neural network by Takashi Morita, Aru Toyoda, Seitaro Aisu, Akihisa Kaneko, Naoko Suda‐Hashimoto, Ikuma Adachi, Ikki Matsuda, Hiroki Koda

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A parametric investigation of binaural beats for brain entrainment and enhancing sustained attention by Anastasiia Melnichuk, Robert K. Cooper, Larry W. Hawk

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The agenda premises of the judicialization of politics: policy attention in Israel’s high court of justice by Maoz Rosenthal, Assaf Meydani

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PGN: Progressively Guided Network with Pixel-Wise Attention for Underwater Image Enhancement by Huidi Jia, Qiang Wang, Bo Fu, Zhimin Zheng, Yandong Tang

Subjects: “…pixel-wise attention…”
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Dual Convolution Neural Networks of Ensemble Learning with Attention Mechanism for Rice Classification by Cheng Linfeng

“…The ensemble model in this article combines two deep models, InceptionNet and ResNet, and incorporates self-attention block method to construct an attention mechanism that uses multi head attention layers to capture relationships in the input. …”
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Bupropion Mediated Effects on Depression, Attention Deficit Hyperactivity Disorder, and Smoking Cessation by Austin Clark, Brendan Tate, Bretton Urban, Ryan Schroeder, Sonja Gennuso, Shahab Ahmadzadeh, David McGregor, Brook Girma, Sahar Shekoohi, Alan D. Kaye

“…The drug has been used to treat depression, Attention Deficit Hyperactivity Disorder (ADHD), and smoking cessation. …”
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Drainage Pipeline Multi-Defect Segmentation Assisted by Multiple Attention for Sonar Images by Qilin Jin, Qingbang Han, Jianhua Qian, Liujia Sun, Kao Ge, Jiayu Xia

Subjects: “…multiple attention learning…”
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Comparing Family Functioning and Maternal Anxiety in Children with Attention and Hyperactivity Disorder and Controls by Gonca OZYURT, Aynur AKAY PEKCANLAR, Yusuf OZTURK

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Advancing semantic segmentation: Enhanced UNet algorithm with attention mechanism and deformable convolution. by Effat Sahragard, Hassan Farsi, Sajad Mohamadzadeh

“…Specifically, we investigate two types of attention mechanisms: ECA (Efficient Channel Attention) and LKA (Large Kernel Attention). …”
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Attention-Based Image-to-Video Translation for Synthesizing Facial Expression Using GAN by Kidist Alemayehu, Worku Jifara, Demissie Jobir

“…This work concludes that integrating self-attention into the generator network improves a quality of the generated images sequences. …”
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