activity
20182021
collaborators

5 papers

eess.SY2021

An Intelligent Multi-Speed Advisory System using Improved Whale Optimisation Algorithm

Beiran Chen, Mingming Liu, Yi Zhang +3

An intelligent speed advisory system can be used to recommend speed for vehicles travelling in a given road network in cities. In this paper, we extend our previous work where a di…

eess.SY2021

MPC-CSAS: Multi-Party Computation for Real-time Privacy-preserving Speed Advisory Systems

Mingming Liu, Long Cheng, Yingqi Gu +3

As a part of Advanced Driver Assistance Systems (ADASs), Consensus-based Speed Advisory Systems (CSAS) have been proposed to recommend a common speed to a group of vehicles for spe…

cs.LG2020

Predicting Injectable Medication Adherence via a Smart Sharps Bin and Machine Learning

Yingqi Gu, Akshay Zalkikar, Lara Kelly +2

Medication non-adherence is a widespread problem affecting over 50% of people who have chronic illness and need chronic treatment. Non-adherence exacerbates health risks and drives…

cs.LG2018

Bayesian Classifier for Route Prediction with Markov Chains

Jonathan P. Epperlein, Julien Monteil, Mingming Liu +3

We present here a general framework and a specific algorithm for predicting the destination, route, or more generally a pattern, of an ongoing journey, building on the recent work…

physics.soc-ph2018

A Hidden Markov Model for Route and Destination Prediction

Yassine Lassoued, Julien Monteil, Yingqi Gu +3

We present a simple model and algorithm for predicting driver destinations and routes, based on the input of the latest road links visited as part of an ongoing trip. The algorithm…