Data sources and approaches for building occupancy profiles at the urban scale–A review
Buildings' occupant profiles at the urban scale play an important role in various applications
like Urban Building Energy Modeling (UBEM) and assessing energy consumption patterns …
like Urban Building Energy Modeling (UBEM) and assessing energy consumption patterns …
Urban human mobility: Data-driven modeling and prediction
Human mobility is a multidisciplinary field of physics and computer science and has drawn a
lot of attentions in recent years. Some representative models and prediction approaches …
lot of attentions in recent years. Some representative models and prediction approaches …
A hybrid Markov-based model for human mobility prediction
Human mobility behavior is far from random, and its indicators follow non-Gaussian
distributions. Predicting human mobility has the potential to enhance location-based …
distributions. Predicting human mobility has the potential to enhance location-based …
Predicting Temporal Aspects of Movement for Predictive Replication in Fog Environments
To fully exploit the benefits of the fog environment, efficient management of data locality is
crucial. Blind or reactive data replication falls short in harnessing the potential of fog …
crucial. Blind or reactive data replication falls short in harnessing the potential of fog …
A proactive mobile edge cache policy based on the prediction by partial matching
The proactive caching has been an emerging approach to cost-effectively boost the network
capacity and reduce access latency. While the performance of which extremely relies on the …
capacity and reduce access latency. While the performance of which extremely relies on the …
Downlink resource allocation under time-varying interference: Fairness and throughput optimality
RK Raman, K Jagannathan - IEEE Transactions on Wireless …, 2017 - ieeexplore.ieee.org
We address the problem of downlink resource allocation in the presence of time-varying
interference. We consider a scenario where users served by a base station face interference …
interference. We consider a scenario where users served by a base station face interference …
An aggregating strategy for shifting experts in discrete sequence prediction
We study how we can adapt a predictor to a non-stationary environment with advises from
multiple experts. We study the problem under complete feedback when the best expert …
multiple experts. We study the problem under complete feedback when the best expert …
Multi-perspective Spatiotemporal Context-aware Neural Networks for Human Mobility Prediction
C Wang, Z Deng - Proceedings of the 1st International Workshop on the …, 2023 - dl.acm.org
Accurately predicting human mobility is crucial for understanding human dynamics,
addressing urban challenges, and improving urban planning. However, it still faces …
addressing urban challenges, and improving urban planning. However, it still faces …
A rich-dictionary Markov predictor for vehicular trajectory forecasting
D Papakostas, D Katsaros - 2018 IEEE 30th International …, 2018 - ieeexplore.ieee.org
Next-location prediction in a VANET system, where each vehicle acts as a network node, is
of great importance in intelligent transport systems (ITS) as this property could have a direct …
of great importance in intelligent transport systems (ITS) as this property could have a direct …
Predictability in human mobility: interpretability, extensions, and applications
D do Couto Teixeira - 2021 - repositorio.ufmg.br
Predicting mobility-related behavior is an important yet challenging task. On one hand,
factors such as one's routine or preferences for a few favorite locations may help in …
factors such as one's routine or preferences for a few favorite locations may help in …