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Decoding high energy physics with AI and machine learning
In the world of particle physics, where scientists unravel the mysteries of the universe, artificial intelligence (AI) and ...
C&EN10d
Multisource Attention-Mechanism-Based Encoder–Decoder Model for Predicting Drug–Drug Interaction Events
To fill this gap, we propose two attention-mechanism-based encoder–decoder models that incorporate multisource information: one is MAEDDI, which can predict DDIs, and the other is MAEDDIE, which can ...
Frontiers23d
Integrating multi-source monitoring data and deep convolutional autoencoder technology for slope failure pattern recognition
The structure of the encoder and decoder is shown in Table 1 ... To enhance the timeliness of warnings, it is recommended to use a deep autoencoder as a feature extraction model, utilizing the ...
IEEE28d
O-SegNet: Robust Encoder and Decoder Architecture for Objects Segmentation From Aerial Imagery Data
We introduce O-SegNet- the robust encoder and decoder architecture for objects segmentation from high-resolution aerial imagery data to address this challenge. The proposed O-SegNet architecture ...
IEEE28d
A Novel Average Autoencoder-Based Amplify-and-Forward Relay Networks With Hardware Impairments
Abstract: In this paper, we propose a novel Average autoencoder (AE)-based amplify-and-forward ... and destination nodes are equipped with neural network (NN)-based encoder and decoder, while a ...