Results 31 to 40 of about 32,124 (206)
Capsule Routing for Sound Event Detection [PDF]
, 2018 The detection of acoustic scenes is a challenging problem in which environmental sound events must be detected from a given audio signal. This includes classifying the events as well as estimating their onset and offset times.
bahdanau +14 more
core +2 more sources
Artificial Intelligence in Colon Capsule Endoscopy—A Systematic Review
Diagnostics, 2022 Background and aims: The applicability of colon capsule endoscopy in daily practice is limited by the accompanying labor-intensive reviewing time and the risk of inter-observer variability.
Sarah Moen +3 more
doaj +1 more source
A Novel Capsule Based Hybrid Neural Network for Sentiment Classification
IEEE Access, 2019 Sentiment classification of short text is a challenging task because of limited contextual information. We propose a capsule-based hybrid neural network model which can obtain the implicit semantic information effectively.
Yongping Du +3 more
doaj +1 more source
Retrieval of Chemical Oxygen Demand through Modified Capsule Network Based on Hyperspectral Data
Applied Sciences, 2019 This study focuses on the retrieval of chemical oxygen demand (COD) in the Baiyangdian area in North China, using a modified capsule network. Herein, the capsule model was modified to analyze the regression relationship between 1-D hyperspectral data and
Chubo Deng, Lifu Zhang, Yi Cen
doaj +1 more source
Sensors, 2021 Compared to time-consuming and unreliable manual analysis, intelligent fault diagnosis techniques using deep learning models can improve the accuracy of intelligent fault diagnosis with their multi-layer nonlinear mapping capabilities.
Bin Han +3 more
doaj +1 more source
Monaural speech separation with deep learning using phase modelling and capsule networks [PDF]
, 2019 The removal of background noise from speech audio is a problem with high practical relevance. A variety of deep learning approaches have been applied to it in recent years, most of which operate on a magnitude spectrogram representation of a noisy ...
dubey +9 more
core +1 more source
ABPCaps: A Novel Capsule Network-Based Method for the Prediction of Antibacterial Peptides
Applied Sciences, 2023 The emergence of drug resistance among pathogens has become a major challenge to human health on a global scale. Among them, antibiotic resistance is already a critical issue, and finding new therapeutic agents to address this problem is therefore urgent.
Lantian Yao +8 more
doaj +1 more source
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022 Locomotion mode recognition has been shown to substantially contribute to the precise control of robotic lower-limb prostheses under different walking conditions. In this study, we proposed a temporal convolutional capsule network (TCCN) which integrates
Yanggang Feng +4 more
doaj +1 more source
Research on Lane Occupancy Rate Forecasting Based on the Capsule Network
IEEE Access, 2020 This paper proposes a hybrid lane occupancy rate prediction model called 2LayersCapsNet, which combines the improved capsule network and convolutional neural networks (CNNs). The model uses CNNs to mine the spatial-temporal correlation characteristics of
Ran Tian +3 more
doaj +1 more source
Examining the Benefits of Capsule Neural Networks
, 2020 Capsule networks are a recently developed class of neural networks that potentially address some of the deficiencies with traditional convolutional neural networks. By replacing the standard scalar activations with vectors, and by connecting the artificial neurons in a new way, capsule networks aim to be the next great development for computer vision ...
Punjabi, Arjun +2 more
openaire +2 more sources