Frontiers

Machine Learning for Hydrological Modeling in Water Resource Management in Data-Scarce Regions

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...
IEEE

Latency-Aware Client Selection and Energy Management for Hierarchical Federated Learning

Abstract: With the prosperity of deep learning (DL) in the Internet of Things (IoT) fields, federated learning (FL), viewed as a critical element of numerous DL-aided IoT intelligent applications, ...
IEEE

Hybrid Deep Machine Learning Feature Selection for High-Dimensional Cybersecurity Data

Abstract: The rapid increase in cyber threats has heightened the demand for Intrusion Detection Systems (IDS) that are both accurate and efficient. While deep learning models outperform traditional ...

Mapping cell development with mathematics-informed machine learning

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...