Search Results for author:
Found 6 papers, 3 papers with code
ATEM: A Topic Evolution Model for the Detection of Emerging Topics in Scientific Archives
This paper presents ATEM, a novel framework for studying topic evolution in scientific archives.
Contextualized Topic Coherence Metrics
The recent explosion in work on neural topic modeling has been criticized for optimizing automated topic evaluation metrics at the expense of actual meaningful topic identification.
ANTM: An Aligned Neural Topic Model for Exploring Evolving Topics
This overlapping sliding window algorithm identifies a different number of topics within each time frame and aligns semantically similar document clusters across time periods.
Q-SMASH: Q-Learning-based Self-Adaptation of Human-Centered Internet of Things
As the number of Human-Centered Internet of Things (HCIoT) applications increases, the self-adaptation of its services and devices is becoming a fundamental requirement for addressing the uncertainties of the environment in decision-making processes.
SMASH: a Semantic-enabled Multi-agent Approach for Self-adaptation of Human-centered IoT
Nowadays, IoT devices have an enlarging scope of activities spanning from sensing, computing to acting and even more, learning, reasoning and planning.
Road Quality Analysis Based on Cognitive Internet of Vehicles (CIoV)
This research proposal aims to use cognitive methods to analyze the quality of roads based on the new proposed technology called Cognitive Internet of Vehicles (CIoV).
