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World Scientific3d
Structural Surrogate Model and Dynamic Response Prediction with Consideration of Temporal and Spatial Evolution: An Encoder–Decoder ConvLSTM Network
In this paper, a new deep learning framework named encoding convolution long short-term memory (encoding ConvLSTM) is proposed to build a surrogate structural model with spatiotemporal evolution of ...
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 ...
IEEE20d
XDATE: eXplainable Deep belief network-based Auto-encoder with exTended Garson Algorithm
Deep neural networks (DNNs) have recently delivered impressive results across various tasks, yet understanding how they make decisions remains challenging. Feature importance has appeared as a key ...
IEEE20d
Deep Learning-Enhanced Anti-Jamming Decoder for OTFS Systems: A CNN Bi-LSTM Hybrid Approach - IEEE Xplore
This paper addresses the challenge of anti-jamming in orthogonal time frequency space (OTFS) modulation systems by proposing a novel anti-jamming decoder. The design of this decoder presents ...
the-decoder26d
Deepseek's R1 model closes the gap with OpenAI and Google after major update
General knowledge and logic tasks also benefited. GPQA-Diamond scores rose from 71.5 to 81.0 percent, Humanity's Last Exam from 8.5 to 17.7 percent, MMLU-Pro from 84.0 to 85.0 percent, and MMLU-Redux ...
ascopubs.org28d
Next-generation U-Net Encoder: Decoder for accurate, automated CTC detection from images of peripheral blood nucleated cells stained with EPCAM and DAPI. - ASCO Publications
We developed a deep-learning pipeline using a U-Net–type encoder–decoder architecture for precise pixel-level CTC discrimination in peripheral blood nucleated cells (PBNCs). This method preserves ...