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Found 3 papers, 0 papers with code
Experimental demonstration of magnetic tunnel junction-based computational random-access memory
Based on the experimental results, a suite of modeling has been developed to characterize the accuracy of CRAM computation.
Neighborhood-Enhanced and Time-Aware Model for Session-based Recommendation
Session based recommendation has become one of the research hotpots in the field of recommendation systems due to its highly practical value. Previous deep learning methods mostly focus on the sequential characteristics within the current session, and neglect the context similarity and temporal similarity between sessions which contain abundant collaborative information. In this paper, we propose a novel neural networks framework, namely Neighborhood Enhanced and Time Aware Recommendation Machine(NETA) for session based recommendation.
LEARN: Learned Experts' Assessment-based Reconstruction Network for Sparse-data CT
Compressive sensing (CS) has proved effective for tomographic reconstruction from sparsely collected data or under-sampled measurements, which are practically important for few-view CT, tomosynthesis, interior tomography, and so on.
