The authors looked the ability of sound sensors to predict clogged pipes when the sound intensity data is run through a machine learning algorithm.
Read More...Predicting clogs in water pipelines using sound sensors and machine learning linear regression
The authors looked the ability of sound sensors to predict clogged pipes when the sound intensity data is run through a machine learning algorithm.
Read More...India’s digital public infrastructure: Analyzing UPI and Aadhaar in GDP growth and cost optimization
India’s Digital Public Infrastructure (DPI)—including the Unified Payments Interface (UPI) and Aadhaar—has been globally recognized for advancing financial inclusion and efficient governance. This study analyzes data from 2016–17 to 2023–24 the impact of these services on India's GDP.
Read More...Ethanol levels in foods ensuing culinary preparation
The authors investigated alcohol content of foods during preparation and when ready to serve to determine how much alcohol remained in the food.
Read More...Sloan green and red photometry of the Type Ia supernova 2024neh
Analysis of the Sloan green and red photometry of the Type Ia supernova 2024neh
Read More...Penalty kick success is unaffected by direction: Insights from right-footed world-class soccer players
Stress-induced genetic memory inheritance and retention in Planarian biological model
This study explored whether planaria, known for their regenerative abilities, can retain learned memories after regeneration and how stressors like alcohol affect memory.
Read More...Correlating inlet gas composition to conversion efficiency in plasma-assisted landfill gas reforming
The escalating crisis of climate change, driven by the accumulation of greenhouse gases from human activities, demands urgent and innovative solutions to curb rising global temperatures. Plasma-based methane (CH4) and carbon dioxide (CO2) reforming offers a promising pathway for carbon capture and the sustainable production of hydrogen fuel and syngas components. To advance this technology, particularly in terms of energy efficiency and selectivity, it is essential to enhance the conversion efficiencies of CO2 and CH4.
Read More...Analyzing carbon dividends’ impact on financial security via ML & metaheuristic search
Impact of carbon tax and dividend on financial security
Read More...School sustainability: The implications of implementing living walls at schools for air purification
The authors compare air quality in the presence and absence of a living wall in a high school hallway in Brooklyn, NY.
Read More...Determining viability of image processing models for forensic analysis of hair for related individuals
Here, the authors used machine learning to analyze microscopic images of hair, quantifying various features to distinguish individuals, even within families where traditional DNA analysis is limited. The Discriminant Analysis (DA) model achieved the highest accuracy (88.89%) in identifying individuals, demonstrating its potential to improve the reliability of hair evidence in forensic investigations.
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