Deep learning models, particularly Convolutional Neural Networks (CNN), are the core technologies for current Chinese handwriting recognition. The workflow can be summarized in the following steps: ...

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

The integration of deep learning in biodiesel research accelerates feedstock evaluation and optimizes production, making it ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

1 Department of Qunli Ultrasound, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China 2 Department of Ultrasound, Jilin Cancer Hospital, Changchun, Jilin, China ...

This study proposes a hybrid modeling approach that integrates a Physics Informed Neural Network (PINN) and a long short-term memory (LSTM) network to predict river water temperature in a defined ...

In Weeks 5-8, we'll deepen our understanding of neural networks by exploring various activation functions, optimization techniques, and advanced architecture components. The focus is on both the ...

Abstract: Deep Reinforcement Learning (DRL) enable several areas of artificial intelligence, including perception recognition, expert system, recommender program and game. Also, graph neural networks ...

Abstract: The Paper explores different aspects of deep learning techniques and neural networks in the fields of healthcare, time-series forecasting, agriculture, and other relevant sectors through ...