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Time Series Clustering for Monitoring Fueling Infrastructure Performance with Kalai Ramea  - #300

Time Series Clustering for Monitoring Fueling Infrastructure Performance with Kalai Ramea - #300

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)


Time Series Clustering for Monitoring Fueling Infrastructure Performance with Kalai Ramea - #300

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

ratings:
Length:
30 minutes
Released:
Sep 18, 2019
Format:
Podcast episode

Description

Today we're joined by Kalai Ramea, Data Scientist at PARC, a Xerox Company. With a background in transportation, energy efficiency, art, and machine learning, Kalai has been fortunate enough to follow her passions through her work. In this episode we discuss: Her environmentally efficient pursuit that lead to the purchase of a hydrogen car, and the subsequent journey and paper that followed assessing fueling stations  Kalai’s next paper, looking at fuel consumption at hydrogen stations using temporal clustering to identify signatures of usage over time, grouping the stations into categories  With the construction of fueling stations is planned to increase dramatically in the next 5 years, building reliability on their performance is crucial A sneak peek into how Kalai incorporates her love of art into her work! Check out the show notes, and the refresh, at twimlai.com! 
Released:
Sep 18, 2019
Format:
Podcast episode

Titles in the series (100)

This Week in Machine Learning & AI is the most popular podcast of its kind. TWiML & AI caters to a highly-targeted audience of machine learning & AI enthusiasts. They are data scientists, developers, founders, CTOs, engineers, architects, IT & product leaders, as well as tech-savvy business leaders. These creators, builders, makers and influencers value TWiML as an authentic, trusted and insightful guide to all that’s interesting and important in the world of machine learning and AI. Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, deep learning and more.