GitHub

NVIDIA-AI-IOT/nanosam

NanoSAM is a Segment Anything (SAM) model variant that is capable of running in 🔥 real-time 🔥 on NVIDIA Jetson Orin Platforms with NVIDIA TensorRT. NanoSAM is trained by distilling the MobileSAM ...
Frontiers

Inverting magnetotelluric data using a physics-guided auto-encoder with scaling laws extension

Artificial neural networks (ANN) have gained significant attention in magnetotelluric (MT) inversions due to their ability to generate rapid inversion results compared to traditional methods. While a ...
IEEE

Far-Field Phaseless Diagnosis for Impaired Arrays Based on Artificial Neural Networks and Compressed Sensing

Abstract: In this article, a novel artificial neural network (ANN)-based method for diagnosing failures in impaired antenna arrays is introduced. Distinct from existing unidirectional ANN-based ...
Scientific Research Publishing

A Water Level Forecast of Pattani River in the Southern of Thailand by Deep Learning ()

Nowadays, the deep learning methods are widely applied to analyze and predict the trend of various disaster events and offer the alternatives to make the appropriate decisions. These support the water ...
IEEE

Synthesis of Mask-Constrained Pattern-Reconfigurable Nonuniformly Spaced Linear Arrays Using Artificial Neural Networks

Abstract: In this article, a novel multibranch encoder-decoder-based artificial neural network (ANN) framework is proposed for pattern-reconfigurable nonuniformly spaced linear array synthesis. In the ...
Frontiers

Spiking Autoencoders With Temporal Coding

Spiking neural networks with temporal coding schemes process information based on the relative timing of neuronal spikes. In supervised learning tasks, temporal coding allows learning through ...