Economics lessons from a study of nuclear power stations [PDF]
C.T. Sandford
openalex +1 more source
Vision‐Assisted Avocado Harvesting with Aerial Bimanual Manipulation
This work outlines the design and implementation of a bimanual aerial robot that employs visual perception and learning to detect, reach, and harvest avocados. A new gripper and fixer arm assembly is used to harvest avocados, while visual perception enables the detection of avocados and estimation of their position and orientation for determining ...
Zhichao Liu+3 more
wiley +1 more source
Photovoltaic Power Station Impacts on the Benthic Ecosystem and Sediment Carbon Storage in Tidal Flats in China. [PDF]
Jin L+10 more
europepmc +1 more source
Multi‐Material Additive Manufacturing of Soft Robotic Systems: A Comprehensive Review
This review explores the transformative role of multi‐material additive manufacturing (MMAM) in the development of soft robotic systems. It presents current techniques, materials, and design strategies that enable functionally graded and adaptive structures.
Ritik Raj+2 more
wiley +1 more source
Operation strategy and capacity configuration of digital renewable energy power station with energy storage. [PDF]
Wu J, Xue L, Zheng Y, Zhang J, Li Q.
europepmc +1 more source
The mental health status of children who have been evacuated or migrated from rural areas in Fukushima prefecture after the Fukushima daiichi nuclear power station accident:results from the Fukushima health management survey. [PDF]
Tokunaga A+13 more
europepmc +1 more source
Bifunctional WO3 Photoelectrodes Decorated by Inkjet Printing for Solar Supercapacitors
WO3 bifunctional photoelectrodes, produced by screen printing and then superficially decorated by inkjet printing, are successfully applied to prepare solar supercapacitors. Under illumination, the areal capacitance is enhanced thanks to the positive contribution of the photogenerated charges and the higher exposed area; its value becomes even more ...
Nicola Sangiorgi+5 more
wiley +1 more source
Machine Learning (ML) and optimization have permeated almost every aspect of engineering applications. Recent years have seen great traction toward ML‐based GaN HEMT modelling. However, ML‐based GaN HEMT models are mostly developed using variants of Artificial Neural Network (ANN).
Saddam Husain+2 more
wiley +1 more source
Non‐Invasive Diagnosis of Chronic Myocardial Infarction via Composite In‐Silico‐Human Data Learning
This study presents a non‐invasive machine learning model to identify infarct regions in the left ventricle using cardiac strain data. By combining rodent‐based simulated data with limited human data, the model achieves high accuracy in predicting infarct size and location without the need for gadolinium contrast agents, offering a promising ...
Rana Raza Mehdi+7 more
wiley +1 more source