Results 71 to 80 of about 2,008,811 (296)
Local feature‐based video captioning with multiple classifier and CARU‐attention
Video captioning aims to identify multiple objects and their behaviours in a video event and generate captions for the current scene. This task aims to generate a detailed description of the current video in real‐time using natural language, which ...
Sio‐Kei Im, Ka‐Hou Chan
doaj +1 more source
Long short‐term memory on abstract syntax tree for SQL injection detection
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
doaj +1 more source
RHR-Net: A Residual Hourglass Recurrent Neural Network for Speech Enhancement
Most current speech enhancement models use spectrogram features that require an expensive transformation and result in phase information loss. Previous work has overcome these issues by using convolutional networks to learn long-range temporal correlations across high-resolution waveforms.
Jalal Abdulbaqi, Yue Gu, Ivan Marsic
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Loss of AMBRA1 activates MAPK and angiogenesis signaling pathways in melanoma cells
Loss of AMBRA1 in melanoma cells activates multiple oncogenic pathways associated with tumor progression. Transcriptomic and protein network analyses revealed that AMBRA1 depletion enhances MAPK/ERK signaling, angiogenesis, TGF‐β/EMT signaling, and Wnt/axon guidance pathways.
Milad Ibrahim +4 more
wiley +1 more source
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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Adenosine triphosphate as a modulator of protein interactions and stability
ATP is best known as the cell's energy currency, but it also shapes how proteins fold, interact, aggregate and form biomolecular condensates. This review explains the emerging physical principles behind these effects, including weak binding to charged protein regions, magnesium‐dependent behaviour and concentration‐dependent control of protein ...
Shuyuan Tan, Robin Curtis
wiley +1 more source
Personal‐specific gait recognition based on latent orthogonal feature space
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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Microaneurysms segmentation with a U-Net based on recurrent residual convolutional neural network [PDF]
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
openaire +2 more sources
Glioblastoma cells express calcitonin receptor variants (CT receptor isoforms) that may help them survive stress. Using qPCR, transcript‐specific long‐read nanopore sequencing, immunofluorescence co‐localisation and comparative sequence analysis, this study identifies a novel alternatively spliced CALCR transcript that encodes the CTb receptor isoform ...
Pragya Gupta +7 more
wiley +1 more source
Method for functional state recognition of multifunction radars based on recurrent neural networks
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
doaj +1 more source

