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...Gender disparities in tennis media
The authors analyze differences in sports commentary between men's matches and women's matches during the 2023 US Open.
Read More...Developing a wearable, skin-based triboelectric nanogenerator
The authors designed a system that runs off of body heat to track body temperature that could help prevent injuries that result from elevated body temperature.
Read More...The Relationship Between Close-Range Shooting Distance and Nitrite Patterns on Cotton and Polyester Clothing
At a crime scene, the presence and pattern of gunshot residue can help forensic scientists piece together the events that occurred. To assist this, the authors of this paper determined the relationship between shooting distance and nitrite residue patterns left on fabric targets.
Read More...Determination of Optimal Relevant Joint Angles for Vertical Jump Height Across Teenagers with Differing Amounts of Jumping Experience
Reaching one’s maximum jump height requires optimizing one’s jump techniques. In order to find this optimal jump technique, three high school participants with varying vertical jump (VJ) abilities recorded videos of themselves with varying degrees of maximum/minimum shoulder, knee, and hip angles—with or without respect to the horizontal—at the isometric phase of a regular countermovement (CM) VJ or countermovement jump (CMJ). Results showed that the shoulder angle without respect to the horizontal (SA), knee angle with respect to the horizontal (KAH), and the hip angle with respect to the horizontal (HAH) possessed a more consistent correlation with VJ height across the subjects compared to the same respective angles with opposite relations to the horizontal.
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