Domestic waste classification using convolutional neural network
Read More...Class distinctions in automated domestic waste classification with a convolutional neural network
Domestic waste classification using convolutional neural network
Read More...Optimizing an eDNA assay and field deployment to detect decapod species in Oʻahu streams
This study explored the use of environmental DNA (eDNA) methods to detect native Hawaiian decapod species (‘opae), which are difficult to observe manually due to their low density.
Read More...Impact of environmental stressors on ultrasonic acoustic emissions in different species of plants
Current horticulture practices often rely on pesticides, causing environmental harm. To address this, authors explore the use of ultrasonic sound emissions to detect plant stress at an individual level.
Read More...Contribution of Indian Women to the National GDP
The authors assessed the degree of women participation in India's economy as a way to estimate woman's participation in India's economic growth.
Read More...Assessing large language models for math tutoring effectiveness
Authors examine the effectiveness of Large Language Models (LLMs) like BERT, MathBERT, and OpenAI GPT-3.5 in assisting middle school students with math word problems, particularly following the decline in math performance post-COVID-19.
Read More...Exploring the resonant vibration of a cello with the finite element method
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.
Read More...Comparing transformer and RNN models in BCIs for handwritten text decoding via neural signals
Brain-Computer Interface (BCI) allows users, especially those with paralysis, to control devices through brain activity. This study explored using a custom transformer model to decode neural signals into handwritten text for individuals with limited motor skills, comparing its performance to a traditional RNN-based BCI.
Read More...Unit-price anchoring affects consumer purchasing behavior
This study examines how anchoring—providing numerical suggestions like "2 for $4"—can influence consumer purchasing decisions and increase revenue. The researchers tested three types of price anchors on 29 high school students shopping in a mock store.
Read More...An exploration of western mosquitofish as the animal component in an aquaponic farming system
Aquaponics (the combination of aquatic plant farming with fish production) is an innovative farming practice, but the fish that are typically used, like tilapia, are expensive and space-consuming to cultivate. Medina and Alvarez explore other options test if mosquitofish are a viable option in the aquaponic cultivation of herbs and microgreens.
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