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Advanced Science, EarlyView.This study uncovers a new allosteric site in the Josephin domain of ataxin‐3 targeted by the molecular tweezer CLR01, which modulates protein aggregation, improves synaptic function in neuronal cells, and delays motor dysfunction in animal models.
Alexandra Silva +28 more
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Overview of Capsule Neural Networks
網際網路技術學刊, 2022<p>As a vector transmission network structure, the capsule neural network has been one of the research hotspots in deep learning since it was proposed in 2017. In this paper, the latest research progress of capsule networks is analyzed and summarized. Firstly, we summarize the shortcomings of convolutional neural networks
Zengguo Sun Zengguo Sun +4 more
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Deep Phenotypic Cell Classification using Capsule Neural Network
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021Recent developments in ultra-high-throughput microscopy have created a new generation of cell classification methodologies focused solely on image-based cell phenotypes. These image-based analyses enable morphological profiling and screening of thousands or even millions of single cells at a fraction of the cost. They have been shown to demonstrate the
Subhankar, Chattoraj +5 more
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Improving Training time in Capsule Neural Network
2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), 2021Chiadika Electrical & Computer Engr Mathematics department Electrical & Computer Engr Brunel University, Seoul National University Brunel University, London, United Kingded the Attention Routing CapsuleNet (AR CapsNet) as proposed by Jaewoong Choi et al. in Attention Routing between Capsules. The AR-CapsNet is an enhanced version of CapsNet which, uses
Onyeachonam Dominic-Mario Chiadika +2 more
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Steady Flow Approximation using Capsule Neural Networks
2020 IEEE Sixth International Conference on Multimedia Big Data (BigMM), 2020CFD (Computational Fluid Dynamics) solvers have been very popular for fluid flow simulation which has been proved to be imperative to solve modern problems relating to analysis, design, and optimization in the field of aerodynamics. Nevertheless, CFD simulations are usually memory intensive and computationally demanding, iterative time-consuming ...
Abhijit Uday Kurtakoti +1 more
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Link prediction approach combined graph neural network with capsule network
Expert Systems with Applications, 2023Graph Neural Networks (GNNs, in short) are a powerful computational tool to jointly learn graph structure and node/edge features. They achieved an unprecedented accuracy in the link prediction problem, namely the task of predicting if two nodes are likely to be tied by an edge in the near future.
Xiaoyang Liu +3 more
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Network Traffic Classification Method Based on Improved Capsule Neural Network
2018 14th International Conference on Computational Intelligence and Security (CIS), 2018Convolution neural network (CNN) has achieved great performance in network traffic classification problem. However, it needs large-scale training set to achieve better classification performance while decreases the accuracy result in the case of the small dataset.
Fan Zhang, Yong Wang, Miao Ye
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Image Captioning Using Capsule Neural Network and LSTM
2021Machine translation and extracting meaningful language descriptions has always been a challenging task in the computer vision field. This paper presents a very modern approach which uses deep learning techniques to generate image description. The concept of Capsule Neural Network is applied in Image Captioning.
Bharat Sharma +4 more
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Phishing URL Detection Via Capsule-Based Neural Network
2019 IEEE 13th International Conference on Anti-counterfeiting, Security, and Identification (ASID), 2019As a cyber attack which leverages social engineering and other sophisticated techniques to steal sensitive information from users, phishing attack has been a critical threat to cyber security for a long time. Although researchers have proposed lots of countermeasures, phishing criminals figure out circumventions eventually since such countermeasures ...
Yongjie Huang, Jinghui Qin, Wushao Wen
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Personality Recognition in Conversations using Capsule Neural Networks
IEEE/WIC/ACM International Conference on Web Intelligence, 2019Automatic identification of personality in conversations has many applications in natural language processing, such as community role identification (e.g., group leader) in online social media conversations as well as meeting transcripts. Conversation utterances provide a lot of information about the parties involved in a conversation such as cues to ...
Esteban Andres Rissola +2 more
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