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Found 6 papers, 0 papers with code
One Model Fits All: Cross-Region Taxi-Demand Forecasting
Experimental results demonstrate the effectiveness of the proposed system in accurately forecasting taxi demand, even in previously unobserved regions, thus showcasing its potential for optimizing taxi services and improving transportation efficiency on a broader scale.
Eco-Friendly Sensing for Human Activity Recognition
With the increasing number of IoT devices, there is a growing demand for energy-free sensors.
Privacy-Preserving Taxi-Demand Prediction Using Federated Learning
Taxi-demand prediction is an important application of machine learning that enables taxi-providing facilities to optimize their operations and city planners to improve transportation infrastructure and services.
Privacy-preserving Pedestrian Tracking using Distributed 3D LiDARs
In this paper, we introduce a novel privacy-preserving system for pedestrian tracking in smart environments using multiple distributed LiDARs of non-overlapping views.
Building Matters: Spatial Variability in Machine Learning Based Thermal Comfort Prediction in Winters
Generally, ML-based solutions are proposed for air-conditioned or HVAC ventilated buildings and the models are primarily designed for adults.
Optimizing Unlicensed Coexistence Network Performance Through Data Learning
This work studies NFRs in unlicensed LTE-WiFi (LTE-U and LTE-LAA) networks through supervised learning of network data collected from real-world experiments.
