Thirty years of machine learning: The road to Pareto-optimal wireless networks
Future wireless networks have a substantial potential in terms of supporting a broad range of
complex compelling applications both in military and civilian fields, where the users are able …
complex compelling applications both in military and civilian fields, where the users are able …
Machine learning in computer vision: a review
INTRODUCTION: Due to the advancement in the field of Artificial Intelligence (AI), the ability
to tackle entire problems of machine intelligence. Nowadays, Machine learning (ML) is …
to tackle entire problems of machine intelligence. Nowadays, Machine learning (ML) is …
Real-time profiling of fine-grained air quality index distribution using UAV sensing
Given significant air pollution problems, air quality index (AQI) monitoring has recently
received increasing attention. In this paper, we design a mobile AQI monitoring system …
received increasing attention. In this paper, we design a mobile AQI monitoring system …
Empowering A* search algorithms with neural networks for personalized route recommendation
Personalized Route Recommendation (PRR) aims to generate user-specific route
suggestions in response to users' route queries. Early studies cast the PRR task as a …
suggestions in response to users' route queries. Early studies cast the PRR task as a …
Geographically neural network weighted regression for the accurate estimation of spatial non-stationarity
Z Du, Z Wang, S Wu, F Zhang, R Liu - International Journal of …, 2020 - Taylor & Francis
Geographically weighted regression (GWR) is a classic and widely used approach to model
spatial non-stationarity. However, the approach makes no precise expressions of its …
spatial non-stationarity. However, the approach makes no precise expressions of its …
Blind travel prediction based on obstacle avoidance in indoor scene
Blind people have intelligent tools to rely on for travel with the development of navigation
technology. The GPS navigation, blind track, etc., are tools that blind people often use when …
technology. The GPS navigation, blind track, etc., are tools that blind people often use when …
Deep trajectory recovery with fine-grained calibration using kalman filter
With the development of location-acquisition technologies, there are a huge number of
mobile trajectories generated and accumulated in a variety of domains. However, due to the …
mobile trajectories generated and accumulated in a variety of domains. However, due to the …
Unlimited neighborhood interaction for heterogeneous trajectory prediction
Understanding complex social interactions among agents is a key challenge for trajectory
prediction. Most existing methods consider the interactions between pairwise traffic agents …
prediction. Most existing methods consider the interactions between pairwise traffic agents …
A learning-based POI recommendation with spatiotemporal context awareness
YC Chen, T Thaipisutikul… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Due to the great advances in mobility techniques, an increasing number of point-of-interest
(POI)-related services have emerged, which could help users to navigate or predict POIs that …
(POI)-related services have emerged, which could help users to navigate or predict POIs that …
Joint intention and trajectory prediction based on transformer
Z Sui, Y Zhou, X Zhao, A Chen… - 2021 IEEE/RSJ …, 2021 - ieeexplore.ieee.org
Although autonomous driving technology has made tremendous progress in recent years, it
is still challenging to predict the intentions and trajectories of pedestrians. The state-of-the …
is still challenging to predict the intentions and trajectories of pedestrians. The state-of-the …