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David Viveros Salazar

Modeling pollution maps

Modeling Fine-grained spatio-temporal pollution maps with low-cost sensors

TLDR Air quality data was collected in Delhi, India using a combination of low-cost (Kaiterra) sensors and existing government sensors over 2 years. Using a neural network based mode researchers were able to predict next day pollution levels to within 10%. Abbreviations Motivation and Approach Pollution prediction in densely populated cities is critical to guide …

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Stretchable sweat sensor

Next-Gen Performance Monitoring: Stretchable Sweat Sensor with Integrated Battery and Display for Real-Time Health Data

TLDR Stretchable sweat sensor with printed battery and real-time display able to measure sodium, pH, glucose, or lactate Article Source Nature Electronics A stretchable epidermal sweat sensing platform with an integrated printed battery and electrochromic display Supplementary Material Abbreviations ECD: Electrochromic display MCU: Microcontroller unit Sweat Sensor Components The Sensor Figure 1 illustrates the various …

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Tracking CA Greenhouse Gas Emissions

Tracking CA Greenhouse Gas Emissions        The california air resources board (CARB) is the government agency tasked with determining the statewide greenhouse gas (GHG) emissions inventory and updating it every five years. Initially the responsibility of the California Energy Commission, tracking responsibility of statewide emissions inventories was transferred to the air resources board …

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Satellite Based Methane Emissions Monitoring

Quantitative monitoring of methane greenhouse gas emissions is becoming increasingly important as the effects of climate change are becoming harder to ignore.[1] In this series of posts, we will dig deeper into the challenges associated with accurately monitoring methane gas emissions. This being a worthwhile endeavor since methane gas emissions account for up to 10% of …

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