Elecrow AI Starter Kit for the NVIDIA Jetson Orin Nano turns the NVIDIA Jetson Orin Nano into a learning and educational kit ...

Lightweight_IA_V_2/ │ ├── README.md # Project overview and roadmap ├── paper_2023_CANShield.pdf # Reference paper (IEEE IoT 2023) ├── CANSHIELD_COMPLETE_STEPS.md # Complete implementation guide │ ├── ...

Case Western Reserve prohibits discrimination and harassment in education and employment, including sex discrimination and sex-based harassment, and discrimination based on national or ethnic origin, ...

Patents are valuable for the generation of novel ideas through technology opportunity discovery. In recent years, scientists have made several attempts to identify technology opportunities by ...

The University of Nevada, Reno’s Environmental Health & Safety unit, within the Research & Innovation division, has recently updated the biosafety module in its hands-on laboratory safety training ...

Sgt. Brenden Lopez uses a computer on Joint Base Lewis-McChord, Washington, for a four-session online intervention designed to improve connection with and promote the care of one’s body. (Christopher ...

Abstract: Deep neural networks (DNNs) have demonstrated exceptional performance across a variety of applications, yet they require substantial computing and power resources. In contrast, Spiking ...

The United States continues to face a dynamic and multifaceted terrorism threat landscape, necessitating vigilant preparedness and response strategies from law enforcement agencies nationwide. Recent ...

Which loss function did you use when training the autoencoder? Did you directly compute the MSE between the predicted SDF values and the ground truth? Additionally, how many steps did you train for?