In her first column, APS President Randi Martin makes the case for collaborative research that cuts across research areas. In ...
However, conventional approaches like Mixed Integer Linear Programming ... Network (GPN) based Hierarchical Curriculum Reinforcement Learning (HCRL) method is proposed to solve Shuttle Tankers ...
Abstract Research of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) and Fibromyalgia (FM), two acquired chronic illnesses affecting mainly females, has failed to ascertain their frequent ...
In its full sense, perception rests on an agent's model of how its sensory input comes about and the inferences it draws based on this model. These inferences are necessarily uncertain. Here, we ...
The Hierarchical Data Modeling Framework, or HDMF, is a Python package for working with hierarchical data. It provides APIs for specifying data models, reading and writing data to different storage ...
Then, we obtain more accurate refined masks to better capture the locations of complicated-shape texts via a hierarchical mask generation network. Next, based on the refined masks, we exploit a ...
Project develops a Hierarchical Clinical Data Visualization Framework to simplify interpreting complex healthcare datasets. It features a Flask backend for preprocessing and a D3.js frontend for ...