Results 31 to 40 of about 5,268,113 (239)
Malware Detection Based on the Feature Selection of a Correlation Information Decision Matrix
Mathematics, 2023 Smartphone apps are closely integrated with our daily lives, and mobile malware has brought about serious security issues. However, the features used in existing traffic-based malware detection techniques have a large amount of redundancy and useless ...
Kai Lu, Jieren Cheng, Anli Yan
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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
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Neural network ensemble operators for time series forecasting [PDF]
, 2014 The combination of forecasts resulting from an ensemble of neural networks has been shown to outperform the use of a single ``best'' network model.
Kourentzes, Nikos +2 more
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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
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Neural network-based approach for the classification of wireless-capsule endoscopic images [PDF]
, 2005 The importance of computer-assisted diagnosis in endoscopy is to assist the physician in detecting the status of tissues by characterising the features from the endoscopic image.
M. Boulougoura +3 more
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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
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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
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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
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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
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Computer-assisted diagnosis of wireless-capsule endoscopic images using neural network based techniques [PDF]
, 2005 Computerised processing of medical images can ease the search of the representative features in the images. The endoscopic images possess rich information expressed by texture.
M. Boulougoura +5 more
core +1 more source