Results 51 to 60 of about 37,616 (181)
Long short‐term memory on abstract syntax tree for SQL injection detection
IET Software, 2021 SQL injection attack (SQLIA) is a code injection technique, used to attack data‐driven applications by executing malicious SQL statements. Techniques like pattern matching, software testing and grammar analysis etc.
Z. Zhuo, T. Cai, X. Zhang, F. Lv
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IET Generation, Transmission & Distribution, 2023 This paper presents an optimal bidding strategy for a technical and commercial virtual power plant (VPP) in medium‐term time horizon. A VPP includes various distributed energy resources (DERs) that can participate in the Pool and Futures markets ...
Farzin Ghasemi‐Olanlari +2 more
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Microaneurysms segmentation with a U-Net based on recurrent residual convolutional neural network [PDF]
Journal of Medical Imaging, 2019 Microaneurysms (MAs) play an important role in the diagnosis of clinical diabetic retinopathy at the early stage. Annotation of MAs manually by experts is laborious and so it is essential to develop automatic segmentation methods. Automatic MA segmentation remains a challenging task mainly due to the low local contrast of the image and the small size ...
Caixia, Kou +4 more
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Personal‐specific gait recognition based on latent orthogonal feature space
Cognitive Computation and Systems, 2021 Exoskeleton has been applied in the field of medical rehabilitation and assistance. However, there are still some problems in the interaction between human and exoskeleton, such as time delay, the existence of certain constraints on the human body, and ...
Quan Zhou +7 more
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Automatic Generation of News Comments Based on Gated Attention Neural Networks
IEEE Access, 2018 With the development of recurrent neural networks (RNN), various natural language generation (NLG) tasks have boomed in the past few years, such as response generation in conversation and poetry generation.
Hai-Tao Zheng +3 more
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Method for functional state recognition of multifunction radars based on recurrent neural networks
IET Radar, Sonar & Navigation, 2021 Radar signal recognition plays a vital role in electronic warfare. For the multifunction radars (MFRs) with complex dynamical modes, the signal recognition needs to identify not only the emitter but also its current functional state. Existing research on
Xinsong Xu, Daping Bi, Jifei Pan
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Self-Adaptive Hierarchical Sentence Model [PDF]
, 2015 The ability to accurately model a sentence at varying stages (e.g., word-phrase-sentence) plays a central role in natural language processing. As an effort towards this goal we propose a self-adaptive hierarchical sentence model (AdaSent).
Lu, Zhengdong +2 more
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Water quality prediction method based on preferred classification
IET Cyber-Physical Systems, 2020 Water quality monitoring and prediction are important parts of Cyber Physical Systems. Considering the complexity, diversity, and strong non-linearity of water quality data, a single water quality prediction model is difficult to have a significant ...
Liming Sheng +4 more
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Less is More: Rethinking Few-Shot Learning and Recurrent Neural Nets
, 2022 The statistical supervised learning framework assumes an input-output set with a joint probability distribution that is reliably represented by the training dataset. The learner is then required to output a prediction rule learned from the training dataset's input-output pairs.
Pereg, Deborah +3 more
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IET Generation, Transmission & DistributionTo ensure the safe and stable operation of 5G base stations, it is essential to accurately predict their power load. However, current short‐term prediction methods are rarely applied rationally in pertinent circumstances to the features of base station ...
Guoxiang Hua, Yan Sun, Weiwei Li
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