A review of time-series anomaly detection techniques: A step to future perspectives
Anomaly detection is a significant problem that has been studied in a broader spectrum of
research areas due to its diverse applications in different domains. Despite the usage of …
research areas due to its diverse applications in different domains. Despite the usage of …
Bidirectional GRU networks‐based next POI category prediction for healthcare
Abstract The Corona Virus Disease 2019 has a great impact on public health and public
psychology. People stay at home for a long time and rarely go out. With the improvement of …
psychology. People stay at home for a long time and rarely go out. With the improvement of …
Semantic segmentation based on temporal features: Learning of temporal–spatial information from time-series SAR images for paddy rice mapping
Synthetic aperture radar (SAR) can be used to obtain remote sensing images of different
growth stages of crops under all weather conditions. Such time-series SAR images can …
growth stages of crops under all weather conditions. Such time-series SAR images can …
A Novel Intelligent‐Based Intrusion Detection System Approach Using Deep Multilayer Classification
A Ugendhar, B Illuri, SR Vulapula… - Mathematical …, 2022 - Wiley Online Library
Cybersecurity in information technology (IT) infrastructures is one of the most significant and
complex issues of the digital era. Increases in network size and associated data have …
complex issues of the digital era. Increases in network size and associated data have …
Personalized tourist route recommendation model with a trajectory understanding via neural networks
N Mou, Q Jiang, L Zhang, J Niu, Y Zheng… - … Journal of Digital …, 2022 - Taylor & Francis
Travel recommendations form a major part of tourism service. Traditional collaborative
filtering and Markov model are not appropriate for expressing the trajectory features, for …
filtering and Markov model are not appropriate for expressing the trajectory features, for …
A new approach to refining land use types: Predicting point-of-interest categories using Weibo check-in data
The information of land use plays an important role in urban planning and optimizing the
allocation of resources. However, traditional land use classification is imprecise. For …
allocation of resources. However, traditional land use classification is imprecise. For …
A hybrid recommender system using topic modeling and prefixspan algorithm in social media
AA Noorian Avval, A Harounabadi - Complex & Intelligent Systems, 2023 - Springer
Route schema is difficult to plan for tourists, because they demand to pick points of interest
(POI) in unknown areas that align with their preferences and limitations. This research …
(POI) in unknown areas that align with their preferences and limitations. This research …
A reproducible POI recommendation framework: Works mapping and benchmark evaluation
This work is a companion reproducibility paper that presents a framework to reproduce our
previous experiments and results reported in Werneck et al.(2021). In that previous paper …
previous experiments and results reported in Werneck et al.(2021). In that previous paper …
CARAN: A context-aware recency-based attention network for point-of-interest recommendation
Point-of-interest (POI) recommendation system that tries to anticipate user's next visiting
location has attracted a plentiful research interest due to its ability in generating …
location has attracted a plentiful research interest due to its ability in generating …
Modeling Long and Short Term User Preferences by Leveraging Multi-Dimensional Auxiliary Information for Next POI Recommendation
Z Li, X Huang, L Gong, K Yuan, C Liu - ISPRS International Journal of Geo …, 2023 - mdpi.com
Next Point-of-Interest (POI) recommendation has shown great value for both users and
providers in location-based services. Existing methods mainly rely on partial information in …
providers in location-based services. Existing methods mainly rely on partial information in …