Results 31 to 40 of about 7,594,062 (311)
Temporal Resolution for the Perception of Features and Conjunctions [PDF]
The Journal of Neuroscience, 2007 The visual system decomposes stimuli into their constituent features, represented by neurons with different feature selectivities. How the signals carried by these feature-selective neurons are integrated into coherent object representations is unknown.
Clara, Bodelón +2 more
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A Novel Temporal Footprints-Based Framework for Fake News Detection
IEEE AccessWith the evolution of social media platforms, the detection of fake news and misinformation is gaining popularity. Social media platforms are the fastest source of fake news propagation, whereas online news websites contribute to dissemination. In recent
Ali Raza +4 more
doaj +1 more source
Temporal Features in Biological Warfare
, 2009 No matter how prepared a population may be, bioterrorism cannot be prevented: the first clues will always be given by ill people. Temporal analysis applied to this type of scenarios could be an additional tool for limiting disruption among civilians allowing for recognizing typical temporal progression and duration of symptoms in first infected people.
BADALONI, SILVANA, FALDA, MARCO
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Geo-spatial Information ScienceChanges in cropland use, particularly the transition from agricultural to non-agricultural and non-food crop production, can diversify rural economies but may also pose challenges to regional food security, especially in densely populated and rapidly ...
Junyao Zhang +7 more
doaj +1 more source
IEEE AccessEarly and interpretable detection of foliar diseases in date palms is essential for sustainable agriculture in arid regions, yet conventional deep-learning models treat symptoms as static visual patterns without considering their biological progression ...
Mansoor Alghamdi +4 more
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Learning Long-Term Temporal Features With Deep Neural Networks for Human Action Recognition
IEEE Access, 2020 One of challenging tasks in the field of artificial intelligence is the human action recognition. In this paper, we propose a novel long-term temporal feature learning architecture for recognizing human action in video, named Pseudo Recurrent Residual ...
Sheng Yu, Li Xie, Lin Liu, Daoxun Xia
semanticscholar +1 more source
Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2018 Change detection is one of the central problems in earth observation and was extensively investigated over recent decades. In this paper, we propose a novel recurrent convolutional neural network (ReCNN) architecture, which is trained to learn a joint ...
Lichao Mou, L. Bruzzone, Xiaoxiang Zhu
semanticscholar +1 more source
Mining Temporal Features in Association Rules [PDF]
, 1999 In real world applications, the knowledge that is used for aiding decision-making is always time-varying. However, most of the existing data mining approaches rely on the assumption that discovered knowledge is valid indefinitely. People who expect to use the discovered knowledge may not know when it became valid, or whether it still is valid in the ...
Xiaodong Chen, Ilias Petrounias
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IEEE Access, 2018 The development of an anomaly-based intrusion detection system (IDS) is a primary research direction in the field of intrusion detection. An IDS learns normal and anomalous behavior by analyzing network traffic and can detect unknown and new attacks ...
Wei Wang +6 more
semanticscholar +1 more source
EdgeRNN: A Compact Speech Recognition Network With Spatio-Temporal Features for Edge Computing
IEEE Access, 2020 Driven by the vision of Internet of Things, some research efforts have already focused on designing a network of efficient speech recognition for the development of edge computing.
Shunzhi Yang +5 more
semanticscholar +1 more source