k-Means NANI: an improved clustering algorithm for Molecular Dynamics simulations
One of the key challenges of k-means clustering is the seed selection or the initial centroid
estimation since the clustering result depends heavily on this choice. Alternatives such as k …
estimation since the clustering result depends heavily on this choice. Alternatives such as k …
Efficient Multi-source Contact Event Query Processing for Moving Objects
P Li, H Dai, Y Chen, B Li, G Yang - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Using trajectories of moving objects and performing contact event query during disease
transmission is an effective method of prevention and control. Existing contact query …
transmission is an effective method of prevention and control. Existing contact query …
ECEQ: efficient multi-source contact event query processing for moving objects
P Li, H Dai, Q Zhou, Y Chen, Q Zhou, B Li, G Yang - World Wide Web, 2024 - Springer
Using trajectory data to query and analyze contact events is an emerging method for
disease prevention and control. Existing contact event query processings only focus on …
disease prevention and control. Existing contact event query processings only focus on …
Work Together to Keep Fresh: Hierarchical Learning for UAVs-assisted Data Time-Sensitive IoT
In the context of disaster warning and monitoring within the Internet of Things (IoT), the
utilization of unmanned aerial vehicles (UAVs) as relays to gather time-sensitive data from …
utilization of unmanned aerial vehicles (UAVs) as relays to gather time-sensitive data from …
HeartInsightify: Interpreting Longitudinal Heart Rate Data for Health Insights through Conformal Clustering
Heart rate, a commonly accessible health data from most wearables, carries rich information
of a person's well-being, yet remains of limited deep health applications, due to the lack of …
of a person's well-being, yet remains of limited deep health applications, due to the lack of …