Machine learning approaches to indoor WiFi localization involve an offline phase and an online phase. In the offline phase, data are collected from an environment to build a local...
Sinno Jialin Pan, Dou Shen, Qiang Yang, James T. K...
Many works have studied the negative impact of slow start on the performance of short transfers. Some works propose to accelerate the window increase during this phase in order to ...
We show how to route on very large public transportation networks (up to half a billion arcs) with average query times of a few milliseconds. We take into account many realistic fe...
Hannah Bast, Erik Carlsson, Arno Eigenwillig, Robe...
Link prediction is a key technique in many applications such as recommender systems, where potential links between users and items need to be predicted. A challenge in link predic...
This paper presents an algorithm based on testability measurement for test point insertion of mixed-signal circuits. Two transfer function models compatible with analog models are...