Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

Abstract: Rapid development of Internet of things (IoT) technologies and their application and importance within various fields arises security issues. New threats require development of appropriate ...

Abstract: Artificial Neural Network (ANN) is one of the most promising biological ... of ANN structure and tuning of some complex parameter. On the other hand, Genetic Algorithm (GA) as a global ...

Penman-Monteith; hyperparameter tuning; Genetic Algorithms (GAs); grid search ... GA to maximize the probability of achieving the optimal configuration of an MLP neural network in an effort to ...

These files save the raw data created by DNMOGA, NBMOGA and NSGA-II, and their titles are related to the figures in paper.

Create a fully connected feedforward neural network from the ground up with Python — unlock the power of deep learning!

Explore 20 essential activation functions implemented in Python for deep neural networks—including ELU, ReLU, Leaky ReLU, ...

A review by researchers at Tongji University and the University of Technology Sydney published in Frontiers of Computer Science, highlights the powerful role of graph neural networks (GNNs) in ...

Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve ...

The prosthetic arm under test actually carries a NVIDIA Jetson Nano onboard to run the AI nerve signal decoder algorithm. Reported in a pre-published paper, researchers used implanted electrodes ...

Master artificial intelligence in 2025 with this comprehensive guide. Explore AI fundamentals, machine learning, deep ...