Machine learning offers growers a new tool for predicting crop water use

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...
eLife

Virtual Brain Inference (VBI), a flexible and integrative toolkit for efficient probabilistic inference on whole-brain models

The Virtual Brain Inference (VBI) toolkit enables efficient, accurate, and scalable Bayesian inference over whole-brain network models, improving parameter estimation, uncertainty quantification, and ...
IEEE

EEMLCR: Energy-Efficient Machine Learning-Based Clustering and Routing for Wireless Sensor Networks

Abstract: Wireless Sensor Networks (WSNs) offer a powerful technology for sensing and transmitting data across vast geographical regions. However, limitations inherent to WSNs, such as low-power ...
IEEE

Distributed Moving Horizon Estimation Over Energy Harvesting Wireless Sensor Networks: A Switching Topology Approach

Abstract: Energy harvesting wireless sensor networks (EHWSNs) face significant challenges, including unpredictable energy availability, communication disruptions, and nonlinear state estimation. This ...
EurekAlert!

Linearizing tactile sensing: A soft 3D lattice sensor for accurate human-machine interactions

Scientists develop a 3D lattice iontronic sensor to decode sophisticated tactile interactions by linearizing both electrical responses and mechanical behaviors The rapid development of humanoid robots ...