In this model ,I have used the GLUE dataset in order to perform a sentiment analysis on the reviews as positive and negative. Different types of Neural Networks using TensorFlow was tried out such as ...

This project implements a next word prediction model using a Gated Recurrent Unit (GRU) neural network, trained on Shakespeare's "Hamlet". The model can predict the next word in a sequence based on ...

Recent advancements in machine learning, particularly neural networks ... Moreover, a novel 3D CNN-GRU model was developed for short-term PM2.5 concentration predictions, effectively capturing ...

Additionally, research has explored the use of particle swarm optimization (PSO) combined with gated recurrent unit (GRU) neural networks to forecast pavement performance parameters. This model ...

Convolutional Neural Networks (CNNs) have demonstrated potential in this domain but encounter limitations ... AHMHCNN-mCBAM incorporates Gated Recurrent Unit (GRU) and Bidirectional Long Short-Term ...

To address the above problems, this article proposes a recurrent self-coding neural network (RSCN) for one-stop noise cancellation of the whole measurement line signal. The method adopts the gated ...

During its first meeting of 2025, the GRU Authority on Wednesday terminated its contract with solar provider Origis Energy and also heard from customers who weighed in on the growing national ...

DO trends have complex nonlinear characteristics. Therefore, the accurate prediction of DO is challenging. On this basis, a two-dimensional data-driven convolutional neural network model (2DD-CNN) is ...

During its first meeting of 2025, the GRU Authority on Wednesday terminated its contract with solar provider Origis Energy and also heard from customers who weighed in on the growing national debate ...