One of the most promising aspects of AI in wildfire management is its capacity to detect complex, nonlinear relationships across massive, multidimensional datasets. Traditional fire prediction models ...

The human brain is thought to constantly predict future words during language processing. Recently, a new approach to investigating linguistic predictions emerged which aims to capture predictive ...

In diabetes care, AI has propelled the field forward through predictive modeling, decision support, and real-time glycemic ...

This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional Gated ...

In a rapidly evolving digital landscape, machine learning is at the forefront of computational advancements, revolutionizing industries from healthcare to finan ...

Ozak AI, a blockchain-based platform focused on predictive analytics and data processing for financial markets, is gaining notable attention in the crypto sector. Currently priced at $0.003 in the ...

Researchers combined core-shell rubber particles with ZnO nanoparticles to develop tougher, more heat-resistant epoxy ...

SARPLLM leverages large language modeling and quantum algorithms to predict Salmonella AMR, offering robust analysis and user ...

To classify temporal muscle synergies and quantify connection weights for both self-connections and connections between muscle synergies, we employed a graph neural network ... was verified through ...

outperforming standard ResNet50 and artificial neural network (ANN). Ablation experiments and cross-validation validated the efficacy and robustness of our proposed system, underscoring its potential ...