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Managing Solar Portfolios by Performing Device-Level Analytics: Using AI and Data Science - Vimarsana News

Managing Solar Portfolios by Performing Device-Level Analytics: Using AI and Data Science

Stuti Gupta, Solar Lead at Prescinto, an AI-powered asset performance management platform for solar, wind and energy storage assets, and Prescinto Performance Excellence Head Abhishek Puttanna on the role of artificial intelligence in monitoring and optimising photovoltaic assets.

Human Rights Watch and 5Rights Foundation: Submission to the US National Institute of Standards and Technology - Vimarsana News

Human Rights Watch and 5Rights Foundation: Submission to the US National Institute of Standards and Technology

Human Rights Watch and 5Rights Foundation write in response to the United States National Institute of Standards and Technology (NIST)’s invitation to submit comments regarding its newly proposed track: Face Recognition Vendor Test – Age Estimation.

Source: hrw.org
How Government Unions Affect State and Local Finances: An Empirical 50-State Review - Vimarsana News

How Government Unions Affect State and Local Finances: An Empirical 50-State Review

Executive Summary Over the past half-century, the American union movement has moved into government. Despite highly publicized efforts to curtail collective bargaining powers of government unions in Ohio and Wisconsin, almost all changes to government collective bargaining statutes over the past 20 years have increased, not decreased, the powers enjoyed by government unions.

Monitoring Snow Cover with Optical Remote Sensing - Vimarsana News

Monitoring Snow Cover with Optical Remote Sensing

A recent study published in Remote Sensing investigates the potential of remote sensing time series to anticipate the snow line elevation in the European Alps. The researchers produced snow line elevation time series using data from the entire Landsat archive in 43 Alpine catchments.

"Improving rock mechanical properties estimation using machine learning" by Ruizhi Zhong, Matt Tsang et al. - Vimarsana News

"Improving rock mechanical properties estimation using machine learning" by Ruizhi Zhong, Matt Tsang et al.

ABSTRACT: Rock mechanical properties (e.g., uniaxial compressive strength or UCS, Young’s modulus, and Poisson’s ratio) are important input parameters for geotechnical assessment and excavation designs. Two common methods used to obtain these parameters are laboratory testing and geophysical logging. The former delivers probably the most reliable results, but can be costly and time-consuming and for a lot of the time it is challenging to source sufficient samples. Alternative ways to better predict rock mechanical properties are needed. In this case study, the XGBoost machine learning algo...

Source: uow.edu.au