Simpler models can outperform deep learning at climate prediction | MIT News
Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in weather and climate, but a...
Deep
An adaptive coverage method for dynamic wireless sensor network deployment using deep reinforcement learning
Hierarchical state representationTo address the challenge of high-dimensional state spaces in wireless sensor network (WSN) coverage and sensing deployment, a...
Deep learning with leagues championship algorithm based intrusion detection on cybersecurity driven industrial IoT systems
In this work, a CLAFS-ODLCD model for securing the digital ecosystem is proposed. The CLAFS-ODLCD technique focuses on the recognition...
OpenSWI Dataset Advances Deep Learning For Surface Dispersion Curve Inversion
Surface wave dispersion curve inversion, a crucial technique for understanding Earth’s structure from shallow resource exploration to deep geological studies,...
Feature fusion and selection using handcrafted vs. deep learning methods for multimodal hand biometric recognition
Hand biometrics, including fingerprints and palmprints, are widely used for secure identification due to their high identification accuracy and non-intrusiveness....
A novel approach to smart-assisted schizophrenia screening based on Raman spectroscopy and deep learning
World Health Organization. Suicide worldwide in 2019: global health estimates. In Suicide worldwide in 2019: global health estimates. (2021).GBD 2019...
