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A learning-based data and task placement mechanism for IoT applications in fog computing: a context-aware approach
In recent years, with the technological advancement and rapid growth in the Internet of Things (IoT), many physical devices and real-time...
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HACAN: a hierarchical answer-aware and context-aware network for question generation
Question Generation (QG) is the task of generating questions according to the given contexts. Most of the existing methods are based on Recurrent...
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Context-Aware Semantic Type Identification for Relational Attributes
Identifying semantic types for attributes in relations, known as attribute semantic type (AST) identification, plays an important role in many data...
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Research on multi-context aware recommendation methods based on tensor factorization
Compared to the traditional recommender systems, context-aware recommender systems are more in line with actual application contexts. However, the...
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Multi-scale inputs and context-aware aggregation network for stereo matching
Despite the significant progress made in deep learning-based stereo matching, the accuracy of these methods significantly decreases when faced with...
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A Framework for Analyzing Modeling Languages for Context-Aware Systems
Context-aware systems keep on emerging in all of our daily activities. Context, which can be a location, a user, an actual activity, or physical...
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DVC-Net: a new dual-view context-aware network for emotion recognition in the wild
Emotion recognition in the wild (ERW) is a challenging task due to unknown and the unconstrained scenes in the wild environment. Different from...
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Context-aware citation recommendation of scientific papers: comparative study, gaps and trends
With the exponential increase in the number of published articles, recommending them on the basis of the citation context (also called local or...
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Context-Aware Systems and Applications 11th EAI International Conference, ICCASA 2022, Vinh Long, Vietnam, October 27-28, 2022, Proceedings
This book constitutes the 11th EAI International Conference of the International Conference on Context-Aware Systems and Applications, ICCASA 2022,...
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Context-aware API recommendation using tensor factorization
An activity constantly engaged by most programmers in coding is to search for appropriate application programming interfaces (APIs). Contextual...
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Context-Aware Multi-User Offloading in Mobile Edge Computing: a Federated Learning-Based Approach
Mobile edge computing (MEC) provides an effective solution to help the Internet of Things (IoT) devices with delay-sensitive and...
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A deep learning-based smart service model for context-aware intelligent transportation system
Effective means for transportation form a critical city infrastructure, particularly for resource-constrained smart cities. Rapid advancements in...
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Context-aware coarse-to-fine network for single image desnowing
Image desnowing is a challenging task in computer vision, as it requires the removal of snow from images while preserving the underlying scene...
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Enhancing Context-Aware Recommendation Using Trust-Based Contextual Attentive Autoencoder
Context-aware recommender systems are intended primarily to consider the circumstances under which a user encounters an item to provide...
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Context-Aware Hashing
With the development of social media and mobile computing technology, the past decade has witnessed tremendous growth in social images. Consequently,...
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Ultra-High Resolution Image Segmentation via Locality-Aware Context Fusion and Alternating Local Enhancement
Ultra-high resolution image segmentation has raised increasing interests in recent years due to its realistic applications. In this paper, we...
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Camouflaged object detection based on context-aware and boundary refinement
Camouflaged Object Detection (COD) has been increasingly studied and the detection performance has been greatly improved based on deep learning...
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Adjustable Context-Aware Transformer
We propose a multi-horizon forecasting approach that accurately models the underlying patterns on different time scales. Our approach is based on the...
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On-device context-aware misuse detection framework for heterogeneous IoT edge
Traditional AI techniques for offline misuse network intrusion detection have performed well, assuming that the traffic from the datasets is...
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Context-aware personality estimation and emotion recognition in social interaction
Personality and emotion as intrinsic factors often have great influences on the cognition of people’s behavior. In computer vision, there is a lot of...
