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MGU-GNN: Minimal Gated Unit based Graph Neural Network for Session-based Recommendation
AbstractSession-based recommender systems (SBRS) play a crucial role in predicting the next click of a user from anonymous session data on numerous...
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ESOA-HGRU: egret swarm optimization algorithm-based hybrid gated recurrent unit for classification of diabetic retinopathy
Diabetes is a chronic disease that affects people all over the world and raises the glucose level in the blood as a result of a lack of insulin....
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Deep learning based concurrent excited gated recurrent unit for crop recommendation based on soil and climatic conditions
Agriculture plays a substantial part in aggregating the nation's economic growth. The production of crops had been greatly affected due to...
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Convolutional Gated MLP: Combining Convolutions and gMLP
To the best of our knowledge, this is the first paper to introduce Convolutions to Gated Multi-Layer Perceptron (gMLP) and contributes an...
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A novel interest evolution network based on transformer and a gated residual for CTR prediction in display advertising
Efficiently extracting user interest from user behavior sequences is the key to improving the click-through rate, and learning sophisticated feature...
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Bi-directional Long Short-Term Memory with Gated Recurrent Unit Approach for Next Word Prediction in Bodo Language
Next word prediction, an essential task in neural language processing, holds significant importance across various applications like text completion,...
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Autism spectrum disorder prediction using bidirectional stacked gated recurrent unit with time-distributor wrapper: an EEG study
A nearly diagnosis and inference of Autism Spectrum Disorder (ASD) demands an automated intelligent system that can efficiently and accurately detect...
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2MGAS-Net: multi-level multi-scale gated attentional squeezed network for polyp segmentation
Accurate segmentation of colon polyps in endoscopic images is crucial for early colorectal cancer diagnosis and treatment planning. However,...
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Twitter sentiment analysis using hybrid gated attention recurrent network
Sentiment analysis is the most trending and ongoing research in the field of data mining. Nowadays, several social media platforms are developed,...
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Breast cancer prediction using gated attentive multimodal deep learning
Women are prone to breast cancer, which is a major cause of death. One out of every eight women has a lifetime risk of develo** this cancer. Early...
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Efficacy of novel attention-based gated recurrent units transformer for depression detection using electroencephalogram signals
PurposeDepression is a global challenge causing psychological and intellectual problems that require efficient diagnosis. Electroencephalogram (EEG)...
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An effective fuzzy based segmentation and twin attention based convolutional gated recurrent network for skin cancer detection
Skin cancer is one of the most deadly types of cancer that makes people less aware of the signs and symptoms. The skin cells are destroyed in people...
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CAT-BiGRU: Convolution and Attention with Bi-Directional Gated Recurrent Unit for Self-Deprecating Sarcasm Detection
Sarcasm detection has been a well-studied problem for the computational linguistic researchers. However, research related to different categories of...
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Social distance control for quadruped robots in a gated spike filter neural network framework
Ensuring safe human-robot interactions is a crucial concern in robotics research and development. However, controlling the social distance between...
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Deep artificial neural network based multilayer gated recurrent model for effective prediction of software development effort
Project management requires the chaotic but important task of estimating software development effort. Several soft computing approaches have been...
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A prospective approach for human-to-human interaction recognition from Wi-Fi channel data using attention bidirectional gated recurrent neural network with GUI application implementation
Human Activity Recognition (HAR) research has gained significant momentum due to recent technological advancements, artificial intelligence...
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i-MAX: Just-In-Time Wakeup of Maximally Gated Router for Power Efficient Multiple NoC
Static power dissipation becomes a primary challenge for modern processor architects with the advancement of nanometer technology. Networks-on-Chip...
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Latent Space Exploration and Functionalization of a Gated Working Memory Model Using Conceptors
Working memory is the ability to maintain and manipulate information. We introduce a method based on conceptors that allows us to manipulate...
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Cross-Domain Gated Learning for Domain Generalization
Domain generalization aims to improve the generalization capacity of a model by leveraging useful information from the multi-domain data. However,...
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PSRUNet: a recurrent neural network for spatiotemporal sequence forecasting based on parallel simple recurrent unit
Unsupervised video prediction is widely applied in intelligent decision-making scenarios due to its capability to model unknown scenes. Traditional...
