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 ...
The Punch

At the Intersection of AI, Engineering, and Human Learning

Discover Taiwo Feyijimi's work at the crossroads of AI, engineering, and learning. Explore his innovative frameworks shaping ...
IEEE

A Hybrid Machine Learning Approach for Predicting Power Transformer Failures Using Internet of Things-Based Monitoring and Explainable Artificial Intelligence

Abstract: Power transformers are critical components in ensuring the continuous and stable operation of power systems. Failures in these units can lead to significant power outages and costly downtime ...
Le Lézard

MathWorks Showcases AI for Safety-Critical Systems at NeurIPS 2025

NeurIPS 2025, Booth #732 ? MathWorks, the leading developer of mathematical computing software, will showcase how engineers and scientists can use MATLAB® and Simulink® to design, verify, and deploy ...
GitHub

Bone-Fracture-Line-Detection-System

We have attempted to develop a Fracture Line Detection System using MATLAB and its Image Processing Toolbox. The system aims to assist radiologists by processing X-ray images to automatically ...
Live Science

Japanese power breakthrough could be 'step toward a fully wireless society'

Scientists in Japan have developed a new, highly efficient method for designing wireless power transfer (WPT) systems. Based on machine learning, the method enables a system to maintain stable voltage ...
Newsweek

Map Shows Where Power Outages Are Most Common in the US

From Winter Storm Blair to Hurricane Beryl in Texas and the more recent Connecticut thunderstorms, power outages from severe weather events have become an increasingly common reality across the United ...
techxplore

Machine learning-based design enables more efficient wireless power transfer

Wireless power transfer (WPT) systems transmit electrical energy from a power source to a load without physical connectors or wires, using electromagnetic fields. This idea goes as far back as the ...
IEEE

Fault Detection and Diagnosis in Power Systems Using Machine Learning

Abstract: Effective fault identification and diagnosis are critical in modern power systems to ensure operational reliability and reduce economic losses. This research describes a novel approach that ...