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Deep Context Model (DCM): dual context-attention aware model for recognizing the heterogeneous human activities using smartphone sensors
Human Activity Recognition (HAR) using smartphone sensors has been identified as a significant emerging research domain. Its application areas...
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Affecta-Context: The Context-Guided Behavior Adaptation Framework
This paper presents Affecta-context, a general framework to facilitate behavior adaptation for social robots. The framework uses information about...
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Occlusion-robust workflow recognition with context-aware compositional ConvNet
Workflow recognition relying on deep convolutional neural network has obtained promising performance. Though impressive results have been achieved on...
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Context-flexible cartography with Siamese topological neural networks
Cartography is a technique for creating maps, which are graphical representations of spatial information. Traditional cartography involves the...
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Long and short-range relevance context network for semantic segmentation
The semantic information can ensure better pixel classification, and the spatial information of the low-level feature map can ensure the detailed...
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Decision Implication-Based Knowledge Representation and Reasoning Within Incomplete Fuzzy Formal Context
Formal Concept Analysis (FCA) is an order theory-based methodology employed for concept analysis and construction. Incomplete fuzzy formal context is...
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Segmentation-based context-aware enhancement network for medical images
Automatic medical image segmentation plays a pivotal role in clinical diagnosis. In the past decades, medical image segmentation has made remarkable...
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Context-Aware Spectrum Decision and Prediction Using Crowd-Sensing
The ever-increasing demand for the wireless communications specially in sub-6 GHz frequency ranges has led to radio resource scarcity where...
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Program synthesis algorithm based on context consistency heuristic
Programming-by-example (PBE) is a program synthesis technique that automatically synthesizes computer programs from input–output (I/O) examples....
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Qutaber: task-based exploratory data analysis with enriched context awareness
AbstractExploratory data analysis (EDA) has emerged as a critical tool for users to gain deep insights into data and unearth hidden patterns. The...
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Dialogue emotion model based on local–global context encoder and commonsense knowledge fusion attention
Emotion Recognition in Conversation (ERC) is a task aimed at predicting the emotions conveyed by an utterance in a dialogue. It is common in ERC...
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Event detection using the user context in sensor based IoT
The clustering methodologies for deployed devices in the region of interest consider the similarity of sensed data or target maximization of network...
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Automatic pixel-level bridge crack detection using learning context flux field with convolutional feature fusion
Surface crack detection for concrete bridge is a practical but challenging task, owing to the inherent large variety of crack images and the...
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Context
Recent developments in building construction have led to the concept of ‘sustainable building’. It includes a way of designing, manufacturing,...
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Context-aware generative prompt tuning for relation extraction
Relation extraction is designed to extract semantic relation between predefined entities from text. Recently, prompt tuning has achieved promising...
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Context-sensitive graph representation learning
Graph representation learning, which maps high-dimensional graphs or sparse graphs into a low-dimensional vector space, has shown its superiority in...
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Discreet: distributed delivery service with context-aware cooperation
End-to-end encrypted messaging applications such as Signal became widely popular thanks to their capability to ensure the confidentiality and...
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ConTEXT: context-aware adaptive SMS client for drivers to reduce risky driving behaviors
Text messaging while driving has been considered a dangerous activity that may lead to serious injuries and traffic fatalities. Several assistive...
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Round- and context-bounded control of dynamic pushdown systems
We consider systems with unboundedly many processes that communicate through shared memory. In that context, simple verification questions have a...
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Towards efficient video-based action recognition: context-aware memory attention network
AbstractGiven the prevalence of surveillance cameras in our daily lives, human action recognition from videos holds significant practical...
