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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 ...
IEEE12d
Implementation of encoders and decoding performance analysis of direct product convolutional codes
Abstract: Direct product convolutional codes are the result of a special concatenated scheme based on the well-known method of direct product for combining block codes ... realization of encoders, ...
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 ...