The automation and efficiency in detecting and guiding drivers to available parking lots by attacking the rampant problem of parking congestion in urban cities are targets for the Smart Parking System project. Compute...
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Semantic Web is the vision to make Internet data machine-readable to achieve information retrieval with higher granularity and personalisation. Semantic annotation is the process that binds machine-understandable desc...
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This research illuminates the pivotal quandary of bee health classification native to the Indian subcontinent, a crucial facet of maintaining agroecological equilibrium. Through a multifaceted integration of advanced ...
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Vehicular Ad-hoc Networks (VANETs) are dedicated forms of wireless communication networks designed to handle the challenges of vehicular environments, including high mobility, varying traffic densities, and constantly...
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In the data stream, the data has non-stationary quality because of continual and inconsistent change. This change is represented as the concept drift in the classifying process of the streaming data. Representing this...
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The agricultural information system deals with massive amounts of data from heterogeneous sources. It helps the farmers gain accurate information by providing better insights. A significant issue in agricultural data ...
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Using sarcasm on social media platforms to express negative opinions towards a person or object has become increasingly ***,detecting sarcasm in various forms of communication can be difficult due to conflicting *** t...
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Using sarcasm on social media platforms to express negative opinions towards a person or object has become increasingly ***,detecting sarcasm in various forms of communication can be difficult due to conflicting *** this paper,we introduce a contrasting sentiment-based model for multimodal sarcasm detection(CS4MSD),which identifies inconsistent emotions by leveraging the CLIP knowledge module to produce sentiment features in both text and ***,five external sentiments are introduced to prompt the model learning sentimental preferences among ***,we highlight the importance of verbal descriptions embedded in illustrations and incorporate additional knowledge-sharing modules to fuse such imagelike *** results demonstrate that our model achieves state-of-the-art performance on the public multimodal sarcasm dataset.
Secure multi-keyword search for outsourced cloud data has gained popularity, especially for scenarios involving multiple data owners. This work proposes a method for secure multi-keyword searches across encrypted clou...
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This paper aims to address the problem of supervised monocular depth *** start with a meticulous pilot study to demonstrate that the long-range correlation is essential for accurate depth ***,the Transformer and convo...
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This paper aims to address the problem of supervised monocular depth *** start with a meticulous pilot study to demonstrate that the long-range correlation is essential for accurate depth ***,the Transformer and convolution are good at long-range and close-range depth estimation,***,we propose to adopt a parallel encoder architecture consisting of a Transformer branch and a convolution *** former can model global context with the effective attention mechanism and the latter aims to preserve the local information as the Transformer lacks the spatial inductive bias in modeling such ***,independent branches lead to a shortage of connections between *** bridge this gap,we design a hierarchical aggregation and heterogeneous interaction module to enhance the Transformer features and model the affinity between the heterogeneous features in a set-to-set translation *** to the unbearable memory cost introduced by the global attention on high-resolution feature maps,we adopt the deformable scheme to reduce the *** experiments on the KITTI,NYU,and SUN RGB-D datasets demonstrate that our proposed model,termed DepthFormer,surpasses state-of-the-art monocular depth estimation methods with prominent *** effectiveness of each proposed module is elaborately evaluated through meticulous and intensive ablation studies.
The syndrome of polycystic ovary has a wide range of symptoms and inconsistent manifestations, making diagnosis difficult. The proposed model intends to differentiate hormonal imbalance from related conditions by eval...
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