Results 21 to 30 of about 1,034,275 (267)

Keyphrase Generation Based on Deep Seq2seq Model

IEEE Access, 2018
Keyphrase can provide highly summative information which can help us improve information utilization efficiency in the era of information overload. Though previous researches about keyphrase generation have provided some workable solutions, they generate
Yong Zhang, Weidong Xiao
doaj   +1 more source

Multiple-Attention Mechanism Network for Semantic Segmentation

Sensors, 2022
Contextual information and the dependencies between dimensions is vital in image semantic segmentation. In this paper, we propose a multiple-attention mechanism network (MANet) for semantic segmentation in a very effective and efficient way.
Dongli Wang, Shengliang Xiang, Yan Zhou, Jinzhen Mu, Haibin Zhou, Richard Irampaye   +5 more
doaj   +1 more source

Anaphora Resolution Algorithm Based on Multilayer Attention Mechanism [PDF]

Jisuanji gongcheng, 2020
In the information extraction process,the nondeterministic anaphora can cause incomplete information extraction.By analyzing the only discriminate information generated by the anaphoric part,the referenced part,the surrounding information,the referenced ...
LIU Yujiang, FU Lijun, LIU Junming, Lü Pengfei
doaj   +1 more source

IDS-attention: an efficient algorithm for intrusion detection systems using attention mechanism

Journal of Big Data, 2021
Network attacks are illegal activities on digital resources within an organizational network with the express intention of compromising systems. A cyber attack can be directed by individuals, communities, states or even from an anonymous source.
FatimaEzzahra Laghrissi, Samira Douzi, Khadija Douzi, Badr Hssina   +3 more
doaj   +1 more source

Collaborative Fusion Attention Mechanism for Vehicle Fault Prediction

Future Internet
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, Dalin Qian, Fanghua Chen, Wei Zhou   +3 more
doaj   +1 more source

Research on detection method of unsound brewing sorghum kernel based on deep learning [PDF]

Zhongguo niangzao
In order to overcome the problems of low efficiency, low accuracy and poor repeatability existing in the quality detection of unsound sorghum kernel in the brewing industry, a novel method based on deep learning for unsound sorghum kernel determination ...
WANG Lin, CHU Yihong, OU Jinhua, YIN Guanjun, JIANG Yuanhong, CHEN Bo, SHEN Chuan, LI Yongmeng
doaj   +1 more source

Attentional Colorization Networks with Adaptive Group-Instance Normalization

Information, 2020
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, Youdong Ding, Fei Wang, Huan Liang   +3 more
doaj   +1 more source

Incidence and Severity of Carboplatin‐Associated Hearing Loss in Children With Cancer Assessed by the SIOP Boston 2012 Ototoxicity Criteria

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Platinum‐based chemotherapy is known to cause severe and debilitating hearing loss, but unlike cisplatin, the true incidence of carboplatin‐induced hearing loss remains unclear. We evaluated functional hearing outcomes in children receiving carboplatin to determine the incidence and severity of ototoxicity. Procedure We identified a
Aniket Chawla, Sean Carter, Andrew Wood, Sandra Staffieri, Andrew Dodgshun, David D. Eisenstat, Michael Sullivan   +6 more
wiley   +1 more source

Pixel Self-Attention Guided Real-Time Instance Segmentation for Group Raised Pigs

Animals, 2023
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, Zhichuan Wang, Chenyu Zhao, Ningning Zhang, Xinyue Wen, Zhiwei Hu   +5 more
doaj   +1 more source

The Graphemic Buffer and attentional mechanisms

Brain and Language, 1989
Two patients with acquired dysgraphia were reported. The patients' performance in various written and oral spelling tasks converge in support of the hypothesis that they have selective damage, within the spelling system, to the Graphemic Buffer. Although the patients present with comparable patterns of error types, they differ in the distribution of ...
A E, Hillis, A, Caramazza
openaire   +2 more sources