We conducted extensive experiments on four different NLG domains in which the results empirically show that the proposed methods not only achieved better performance on all the NLG domains in comparison with previous gating-based, attention-based methods, but also obtained highly competitive results ...
Abstract Graphene-based nanoporous materials have been extensively explored as high-capacity ion electrosorption electrodes for supercapacitors. However, little attention has been paid to exploiting the interactions between electrons that reside in the graphene lattice and the ions adsorbed between the individ...
Recently, inspired by biofilms in natural organisms, membranes with alterable pore channel are prepared and attract more and more attention. Combined with biomimetic technology, environmental responsive smart gating membranes can be prepared by introducing smart polymers with environmental stimulus response ...
previous work has left unresolved to what extent the sEBR can be used to track real-time changes in DA activityduringtask performance as a function of task demands.
The hexagonal boron pnictides (BP, BAs, BSb) are gaining more attention of scientific community due to their graphene- like sharp band edges near Fermi level result in ultrahigh carrier mo- bility [10]. Various intrinsic properties like stability, novel electronic, optic [11] and thermal...
Serious games provide interactive content and gain the attention of the learners to enhance learners' motivations. The context-aware approach establishes personalised learning assistance based on the learners’ context to enhance the learning experience. Game mechanics, game events, learning objectives and...
We conducted extensive experiments on four different NLG domains in which the results empirically show that the proposed methods not only achieved better performance on all the NLG domains in comparison with previous gating-based, attention-based methods, but also obtained highly competitive results ...
Leveraging advanced Gating and Attention-based Long Short-Term Memory (LSTM) mechanisms, FAT-LSTM represents a significant improvement in multimodal learning field. Through extensive comparative analysis against established baseline models, our study shows the superior performance achieved by FAT-LSTM. ...
It has attracted much attention because of its advantages of contactlessness, stability, and security. Recently, many palmprint recognition methods based on convolutional neural networks (CNN) have been proposed in academia. Convolutional neural networks are limited by the size ...
Therefore, this paper proposes a learnable transformer with an adaptive gating mechanism (AGMLT). Firstly, a spectral鈥搒patial adaptive gating mechanism (SSAGM) is designed to comprehensively extract the local information from images. It mainly contains point depthwise attention (PDWA) a...