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STRAN: Student expression recognition based on spatio-temporal residual attention network in classroom teaching videos
Springer Science and Business Media LLC - Tập 53 - Trang 25310-25329 - 2023
Zheng Chen, Meiyu Liang, Zhe Xue, Wanying Yu
In order to obtain the state of students’ listening in class objectively and accurately, we can obtain students’ emotions through their expressions in class and cognitive feedback through their behaviors in class, and then integrate the two to obtain a comprehensive assessment results of classroom status. However, when obtaining students’ classroom expressions, the major problem is how to accurate... hiện toàn bộ
Actively learning dynamical systems using Bayesian neural networks
Springer Science and Business Media LLC - Tập 53 Số 23 - Trang 29338-29362 - 2023
Shengbing Tang, Kenji Fujimoto, Ichiro Maruta
Evaluating power system reform proposals based on the evidential reasoning algorithm with hesitant fuzzy information
Springer Science and Business Media LLC - Tập 53 - Trang 26079-26097 - 2023
Chonghui Zhang, Wuhui Lu, Zeshui Xu, Wenting Xue
The reforming and updating of power systems play a key role in promoting the low-carbon technology progress, saving non-renewable energy resources and reducing carbon emissions. The evaluation of power system reform proposals is an uncertain multiple-criteria decision-making problem given that some indicators cannot be represented by real numbers such as the expected effect of the power system upg... hiện toàn bộ
A robust infrared and visible image fusion framework via multi-receptive-field attention and color visual perception
Springer Science and Business Media LLC - Tập 53 - Trang 8114-8132 - 2022
Zhaisheng Ding, Haiyan Li, Dongming Zhou, Yanyu Liu, Ruichao Hou
In this paper, a robust infrared and visible image fusion scheme that joins a dual-branch multi-receptive-field neural network and a color vision transfer algorithm is designed to aggregate infrared and visible video sequences. The proposed method enables the fused image to effectively recognize thermal objects, contain rich texture information and ensure visual perception quality. The fusion netw... hiện toàn bộ
Bi-attention network for bi-directional salient object detection
Springer Science and Business Media LLC - Tập 53 - Trang 21500-21516 - 2023
Cheng Xu, Hui Wang, Xianhui Liu, Weidong Zhao
Saliency detection models based on neural networks have achieved outstanding results, but there are still problems such as low accuracy of object boundaries and redundant parameters. To alleviate these problems, we make full use of position and contour information from the down-sampling layers, and optimize the detection result layer by layer. First, this paper designs an attention-based adaptive ... hiện toàn bộ
Designing heterogeneous distributed GAs by efficiently self-adapting the migration period
Springer Science and Business Media LLC - Tập 36 Số 4 - Trang 800-808 - 2012
Carolina Salto, Enrique Alba
Self-supervised pairwise-sample resistance model for few-shot classification
Springer Science and Business Media LLC - Tập 53 - Trang 20661-20674 - 2023
Weigang Li, Lu Xie, Ping Gan, Yuntao Zhao
The traditional supervised learning models rely on high-quality labeled samples heavily. In many fields, training the model on limited labeled samples will result in a weak generalization ability of the model. To address this problem, we propose a novel few-shot image classification method by self-supervised and metric learning, which contains two training steps: (1) Training the feature extractor... hiện toàn bộ
Evolutionary based ensemble framework for realizing transfer learning in HIV-1 Protease cleavage sites prediction
Springer Science and Business Media LLC - Tập 49 - Trang 1260-1282 - 2018
Deepak Singh, Pradeep Singh, Dilip Singh Sisodia
The role of human immunodeficiency virus (HIV) protease in viral maturation is indispensable as the drug therapy primarily targets the HIV protease for the treatment of human immunodeficiency virus infection. Protease inhibitors are designed to block the active site of the protease, thereby restraining the replication of the viral particle. However, designing efficient inhibitors is challenging du... hiện toàn bộ
Computation and memory optimized spectral domain convolutional neural network for throughput and energy-efficient inference
Springer Science and Business Media LLC - Tập 53 - Trang 4499-4523 - 2022
Shahriyar Masud Rizvi, Ab Al-Hadi Ab Rahman, Usman Ullah Sheikh, Kazi Ahmed Asif Fuad, Hafiz Muhammad Faisal Shehzad
Conventional convolutional neural networks (CNNs) present a high computational workload and memory access cost (CMC). Spectral domain CNNs (SpCNNs) offer a computationally efficient approach to compute CNN training and inference. This paper investigates CMC of SpCNNs and its contributing components analytically and then proposes a methodology to optimize CMC, under three strategies, to enhance inf... hiện toàn bộ
An efficient structure for fast mining high utility itemsets
Springer Science and Business Media LLC - Tập 48 - Trang 3161-3177 - 2018
Zhi-Hong Deng
High utility itemset mining has emerged to be an important research issue in data mining since it has a wide range of real life applications. Although a number of algorithms have been proposed in recent years, the mining efficiency is still a big challenge since these algorithms suffer from either the problem of low efficiency of calculating candidates’ utilities or the problem of generating huge ... hiện toàn bộ
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