Abstract: With the expanding applications of Global Navigation Satellite Systems (GNSS) in geoscience and hydrology, environmental monitoring methods based on GNSS multipath-reflected signals have ...
The stack—the conduit between our digital and physical worlds—is the elusive, mysterious, and least-understood part of the Internet. In the five seconds it took you to read that, 100 quadrillion bits ...
Abstract: Dynamic Computed Tomography (4DCT) is widely used to visualize internal dynamic processes in medical and industrial contexts. However, 4DCT usually necessitates continuous multi-view ...
Stock trend prediction is a pivotal task in quantitative investment, yet the complex and dynamic temporal correlations in stock data pose significant challenges. Traditional methods often fail to ...
Abstract: The United States' entrepreneurial ecosystem relies heavily on its higher education institutions to foster innovation and train future engineers. Yet, gaps remain in understanding how Latinx ...
Abstract: The rise of Virtual Reality (VR) sports has been driven by evolving work patterns, limited access to physical exercise spaces, and a growing focus on health and wellness. Beyond the ...
The Autonomous Emergency Braking (AEB) system is a critical safety feature in autonomous vehicles, designed to mitigate or prevent collisions by automatically activating the brakes when a potential ...
Abstract: Currently, Vision Transformer has become the mainstream method for remote sensing image understanding, especially for remote sensing scene classification. However, it tends to focus on local ...
Abstract: The primary aim of the paper is to predict crop yield through the use of data mining techniques with an emphasis on climatic and soil parameters from 2010 to 2020. A dataset of potato crop ...
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