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Found 7 papers, 1 papers with code
Non-Parallel Training Approach for Emotional Voice Conversion Using CycleGAN
The focus of this research is proposing a nonparallel emotional voice conversion for Egyptian Arabic speech.
Markov Switching Model for Driver Behavior Prediction: Use cases on Smartphones
The proposed model is validated using a real dataset to predict the driver behavior in short duration periods.
Bearings Fault Detection Using Hidden Markov Models and Principal Component Analysis Enhanced Features
Asset health monitoring continues to be of increasing importance on productivity, reliability, and cost reduction.
CrossCount: A Deep Learning System for Device-free Human Counting using WiFi
Counting humans is an essential part of many people-centric applications.
Trans-Sense: Real Time Transportation Schedule Estimation Using Smart Phones
This paper aims at designing and implementing a crowd-sourced mobile phones-based solution to estimate the expected waiting time of a passenger in public transit systems, the prediction of the remaining time to get on/off a vehicle, and to construct a real time public transit schedule.
MARL-FWC: Optimal Coordination of Freeway Traffic Control Measures
The objective of this article is to optimize the overall traffic flow on freeways using multiple ramp metering controls plus its complementary Dynamic Speed Limits (DSLs).
Deep learning is competing random forest in computational docking
For the docking and screening powers, the proposed learning scoring functions depend on the intermolecular features of the RF-Score to utilize a larger number of training complexes.
