Key Takeaways The transition requires upskilling in Python, statistics, and machine learning.Practical experience with ...

Ensemble models, comprising multiple algorithms or simulations to improve prediction accuracy, are increasingly being applied ...

About This Repository is project directory of the Distance Regression and Classification Network (DRCA-Net).DRCA-net is convolutional neural network developed using tensorflow and tensorpack. In this ...

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light instead of electricity to process information—promise faster speeds and ...

Every year, more than one million scientific articles are published in the life sciences. Two-thirds of them include ...

In this study, we propose a novel structure of hierarchical neural networks (HNN) realized by long short-term memory (LSTM), two classes of self-organizing dynamical fuzzy neural network architectures ...

Modeling is an important task in classic control system design. However, as the robotics systems are getting more complex, the modeling tasks using fundamental physical principles are becoming more ...

Next, unlike conventional physics-informed neural networks that only utilize macroscopic physical information, we constrain the training of the neural network by using dynamic metabolic flux analysis ...

Neural Networks Assignment (2025) – MSc AI Project This project demonstrates the application of neural networks (NNs) to solve real-world regression and classification problems. Developed as part of ...