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Hierarchical Neural Network with Serial Attention Mechanism for Review Sentiment Classifification
Hierarchical neural networks have achieved success in review sentiment classification. Recently, some works achieved improvements by integrating user...
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A stacked convolutional neural network framework with multi-scale attention mechanism for text-independent voiceprint recognition
Short-utterance speaker identification is a difficult area of study in natural language processing (NLP). Most cutting-edge experimental approaches...
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Performance evaluation of optimized convolutional neural network mechanism in the detection and classification of ovarian cancer
Female mortality is frequently caused by ovarian cancer (OC). Because of its late detection, ovarian cancer seems to have a low survival rate, and...
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Automatic Food Recognition Using Deep Convolutional Neural Networks with Self-attention Mechanism
The significance of food in human health and well-being cannot be overemphasized. Nowadays, in our dynamic life, people are increasingly concerned...
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ResGAT: an improved graph neural network based on multi-head attention mechanism and residual network for paper classification
Paper classification plays a pivotal role in facilitating precise literature retrieval, recommendations, and bibliometric analyses. However, current...
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A novel IoT-based deep neural network for COVID-19 detection using a soft-attention mechanism
Learning models from COVID-19 data are conducive to understand this disease. However, the scarcity of labeled data presents certain challenges....
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A novel gated dual convolutional neural network model with autoregressive method and attention mechanism for probabilistic load forecasting
Accurate load forecasting is prime in the electric power industry, while the complexity and variability of the load data make it a challenging...
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Dual-view graph neural network with gating mechanism for entity alignment
Entity alignment aims to connect equivalent entities between different knowledge graphs (KGs), which is an important step in knowledge fusion. The...
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Optimized neural attention mechanism for aspect-based sentiment analysis framework with optimal polarity-based weighted features
In recent years, sentimental analysis has been broadly investigated to extract information to identify whether it is positive, negative or neutral....
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Edge-cloud computing oriented large-scale online music education mechanism driven by neural networks
With the advent of the big data era, edge cloud computing has developed rapidly. In this era of popular digital music, various technologies have...
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Hyperparameter optimization method based on dynamic Bayesian with sliding balance mechanism in neural network for cloud computing
Hyperparameter optimization (HPO) of deep neural networks plays an important role of performance and efficiency of detection networks. Especially for...
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CIRM-SNN: Certainty Interval Reset Mechanism Spiking Neuron for Enabling High Accuracy Spiking Neural Network
Spiking neural network (SNN) based on sparse trigger and event-driven information processing has the advantages of ultra-low power consumption and...
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Attention mechanism in neural networks: where it comes and where it goes
A long time ago in the machine learning literature, the idea of incorporating a mechanism inspired by the human visual system into neural networks...
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Utilizing deep convolutional neural architecture with attention mechanism for objective diagnosis of schizophrenia using wearable IoMT devices
Mental health diagnosis often relies on subjective evaluations, which can be intrusive and lack objectivity. With the current global situation...
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Neural machine translation for Indian language pair using hybrid attention mechanism
Machine translation is an effective way of achieving suitable translations for a given language pair without human intervention. Machine translation...
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A Novel Unsupervised Spatial–Temporal Learning Mechanism in a Bio-inspired Spiking Neural Network
Bio-inspired computing is a powerful platform that develops intelligent machines based on principles of the behavioral and functional mechanisms of...
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Tag-Aware Recommendation Based on Attention Mechanism and Disentangled Graph Neural Network
Tag-aware recommender system leverages user-annotated historical data to enhance the understanding of user preferences and web service/item features,...
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Attention mechanism optimized neural network for automatic measurement of fetal anterior-neck-lower-jaw angle in nuchal translucency tests
Nuchal translucency (NT) examination has become a standard item in early pregnancy tests because of its clinical value in detecting early gestational...
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Task offloading optimization mechanism based on deep neural network in edge-cloud environment
With the rise of edge computing technology and the development of intelligent mobile devices, task offloading in the edge-cloud environment has...
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Multi-channel and multi-scale separable dilated convolutional neural network with attention mechanism for flue-cured tobacco classification
Tobacco classification is a challenging research topic and plays a crucial role in the process of cigarette production. Tobacco classification mainly...
