Collaborative Fusion Attention Mechanism for Vehicle Fault Prediction
In this study, we investigate a deep learning-based vehicle fault prediction model aimed at achieving accurate prediction of vehicle faults by analyzing the correlations among different faults and the impact of critical faults on future fault development.
Hong Jia +3 more
doaj +1 more source
Attentional Colorization Networks with Adaptive Group-Instance Normalization
We propose a novel end-to-end image colorization framework which integrates attention mechanism and a learnable adaptive normalization function. In contrast to previous colorization methods that directly generate the whole image, we believe that the ...
Yuzhen Gao +3 more
doaj +1 more source
A power equipment monitoring system based on SE-Attention image recognition model
The current power equipment monitoring is mainly based on the traditional classical neural network automatic monitoring mode, which has such problems as low accuracy and difficulty to dig out the deep information of the image, a power equipment ...
Qiyuan HE +6 more
doaj +1 more source
An empirical study on the effectiveness of images in Multimodal Neural Machine Translation
In state-of-the-art Neural Machine Translation (NMT), an attention mechanism is used during decoding to enhance the translation. At every step, the decoder uses this mechanism to focus on different parts of the source sentence to gather the most useful ...
Delbrouck, Jean-Benoit +1 more
core +1 more source
Satirical News Detection and Analysis using Attention Mechanism and Linguistic Features
Satirical news is considered to be entertainment, but it is potentially deceptive and harmful. Despite the embedded genre in the article, not everyone can recognize the satirical cues and therefore believe the news as true news. We observe that satirical
Dragut, Eduard +2 more
core +1 more source
Intelligent Virtual Security System using Attention Mechanism
Within the past few years, organizational security has emerged as a critical challenge for industries, security agencies, academic institutions and organizations.
Wasim Ahmad Khan +6 more
doaj +1 more source
Pixel Self-Attention Guided Real-Time Instance Segmentation for Group Raised Pigs
Instance segmentation is crucial to modern agriculture and the management of pig farms. In practical farming environments, challenges arise due to the mutual adhesion, occlusion, and dynamic changes in body posture among pigs, making accurate ...
Zongwei Jia +5 more
doaj +1 more source
RoBERTa-CoA: RoBERTa-Based Effective Finetuning Method Using Co-Attention
In the field of natural language processing, artificial intelligence (AI) technology has been utilized to solve various problems, such as text classification, similarity measurement, chatbots, machine translation, and machine reading comprehension ...
Jeong-Hoon Kim +5 more
doaj +1 more source
External noise distinguishes attention mechanisms
We developed and tested a powerful method for identifying and characterizing the effect of attention on performance in visual tasks as due to signal enhancement, distractor exclusion, or internal noise suppression. Based on a noisy Perceptual Template Model (PTM) of a human observer, the method adds increasing amounts of external noise (white gaussian ...
Lu, Zhong-Lin, Dosher, Barbara Anne
openaire +2 more sources
Underwater Object Detection Algorithm Based on Adding Channel and Spatial Fusion Attention Mechanism
Underwater target detection is the foundation and guarantee for the autonomous operation of underwater vehicles and is one of the key technologies in marine exploration. Due to the complex and special underwater environment, the detection effect is poor,
Xingyao Wang +3 more
doaj +1 more source

