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Found 7 papers, 0 papers with code
Anomaly Detection and Inter-Sensor Transfer Learning on Smart Manufacturing Datasets
In this paper, we analyze four datasets from sensors deployed from manufacturing testbeds.
Automatic Forecasting via Meta-Learning
In this work, we develop techniques for fast automatic selection of the best forecasting model for a new unseen time-series dataset, without having to first train (or evaluate) all the models on the new time-series data to select the best one.
The Effect of Behavioral Probability Weighting in a Simultaneous Multi-Target Attacker-Defender Game
Each node has a certain value to the attacker and the defender, along with a probability of being successfully compromised, which is a function of the investments in that node by both players.
Anomaly Detection through Transfer Learning in Agriculture and Manufacturing IoT Systems
While there is a rich literature on anomaly detection in many IoT-based systems, there is no existing work that documents the use of ML models for anomaly detection in digital agriculture and in smart manufacturing systems.
Morshed: Guiding Behavioral Decision-Makers towards Better Security Investment in Interdependent Systems
We model the behavioral biases of human decision-making in securing interdependent systems and show that such behavioral decision-making leads to a suboptimal pattern of resource allocation compared to non-behavioral (rational) decision-making.
BASCPS: How does behavioral decision making impact the security of cyber-physical systems?
We model the security investment decisions made by the defenders as a security game.
Cryptography and Security Computer Science and Game Theory
ATHENA: Automated Tuning of Genomic Error Correction Algorithms using Language Models
The performance of most error-correction algorithms that operate on genomic sequencer reads is dependent on the proper choice of its configuration parameters, such as the value of k in k-mer based techniques.
