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Found 6 papers, 0 papers with code
Multi-scale Topology Optimization using Neural Networks
The neural network takes as input the local coordinates within a cell to represent the density distribution within a cell, as well as the global coordinates of each cell to design spatially varying microstructure cells.
RLPlanner: Reinforcement Learning based Floorplanning for Chiplets with Fast Thermal Analysis
When integrated with our fast thermal evaluation method, RLPlanner achieves an average improvement of 20. 28\% in minimizing the target objective (a combination of wirelength and temperature), within a similar running time, compared to the classic simulated annealing method with HotSpot.
Optimization of RIS Placement for Satellite-to-Ground Coverage Enhancement
In satellite-to-ground communication, ensuring reliable and efficient connectivity poses significant challenges.
How to Differentiate between Near Field and Far Field: Revisiting the Rayleigh Distance
Future wireless communication systems are likely to adopt extremely large aperture arrays and millimeter-wave/sub-THz frequency bands to achieve higher throughput, lower latency, and higher energy efficiency.
A sentiment analysis model for car review texts based on adversarial training and whole word mask BERT
Based on this, we propose a car review text sentiment analysis model based on adversarial training and whole word mask BERT(ATWWM-BERT).
Bridging the gap between prostate radiology and pathology through machine learning
Our experiments show that (1) radiologist labels and models trained with them can miss cancers, or underestimate cancer extent, (2) digital pathologist labels and models trained with them have high concordance with pathologist labels, and (3) models trained with digital pathologist labels achieve the best performance in prostate cancer detection in two different cohorts with different disease distributions, irrespective of the model architecture used.
