Integrating digital technologies to aid grassland productivity and sustainability
DR Stevens, BR Thompson, P Johnson… - … in Sustainable Food …, 2021 - frontiersin.org
Digital technologies provide an opportunity to further increase the sustainability and
productivity of grasslands and rangelands. Three resources are key to that change. These …
productivity of grasslands and rangelands. Three resources are key to that change. These …
Machine learning-based microclimate model for indoor air temperature and relative humidity prediction in a swine building
Simple Summary Indoor air temperature (IAT) and indoor relative humidity (IRH) are the
prominent microclimatic variables. Among other livestock animals, pigs are more sensitive to …
prominent microclimatic variables. Among other livestock animals, pigs are more sensitive to …
Developing a physics-informed and physics-penalized neural network model for preliminary design of multi-stage friction pendulum bearings
A Habib, U Yildirim - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Over the last few decades, the field of base isolation systems has made significant strides
forward by developing new systems to improve the behavior of isolated structures under …
forward by developing new systems to improve the behavior of isolated structures under …
Rapid, comprehensive screening of ionic liquids towards sustainable applications
A computational screening strategy applied to 8 million synthetically diverse ionic liquids,
demonstrates its value for sustainable solvent design. In contrast to previous studies which …
demonstrates its value for sustainable solvent design. In contrast to previous studies which …
Show or suppress? Managing input uncertainty in machine learning model explanations
Feature attribution is widely used in interpretable machine learning to explain how influential
each measured input feature value is for an output inference. However, measurements can …
each measured input feature value is for an output inference. However, measurements can …
Decision-making under uncertainty for the deployment of future hyperconnected networks: A survey
N Alzate-Mejia, G Santos-Boada… - Sensors, 2021 - mdpi.com
Among the several emerging dimensioning, control and deployment of future
communication network paradigms stands out the human-centric characteristic that creates …
communication network paradigms stands out the human-centric characteristic that creates …
Updating the Australian digital soil texture mapping (Part 2*): spatial modelling of merged field and lab measurements
Malone and Searle (2021) described a new approach to convert field measured soil texture
categories into quantitative estimates of the proportion of clay, silt and sand fractions …
categories into quantitative estimates of the proportion of clay, silt and sand fractions …
[HTML][HTML] Digital soil survey and mapping underpinning inherent and dynamic soil attribute condition assessments
We set out in this work to create a suite of 3D-like digital soil attribute maps for a research
farming enterprise situated in the South Eastern Agricultural Zone of NSW, Australia. These …
farming enterprise situated in the South Eastern Agricultural Zone of NSW, Australia. These …
Improving the Robustness of 3D Human Pose Estimation: A Benchmark and Learning from Noisy Input
Despite the promising performance of current 3D human pose estimation techniques
understanding and enhancing their robustness on challenging in-the-wild videos remain an …
understanding and enhancing their robustness on challenging in-the-wild videos remain an …
[图书][B] Atomic-Scale Modelling of Electrochemical Systems
This chapter introduces and describes a novel approach to first principles computational
electrochemistry that occupies a unique intermediate niche among available approaches …
electrochemistry that occupies a unique intermediate niche among available approaches …