Results 51 to 60 of about 336,769 (240)

Review of: "A Novel Framework for Concept Drift Detection using Autoencoders for Classification Problems in Data Streams" [PDF]

, 2022
Sathish Kumar Nagarajan
openalex   +1 more source

Concept drift detection in toxicology datasets using discriminative subgraph-based drift detector

Briefings in Bioinformatics, 2022
Abstract Due to the increasing importance of graphs and graph streams in data representation in today’s era, concept drift detection in graph streaming scenarios is more important than ever. Contributions to concept drift detection in graph streams are minimal and practically non-existent in the field of toxicology.
Vandana, Bharti, Shabari S, Nair, Akshat, Jain, Kaushal, Kumar Shukla, Bhaskar, Biswas   +4 more
openaire   +2 more sources

Online Machine Learning for Intrusion Detection in Electric Vehicle Charging Systems

Mathematics
Electric vehicle (EV) charging systems are now integral to smart grids, increasing the need for robust and scalable cyberattack detection. This study presents an online intrusion detection system that leverages an Adaptive Random Forest classifier with ...
Fazliddin Makhmudov, Dusmurod Kilichev, Ulugbek Giyosov, Farkhod Akhmedov   +3 more
doaj   +1 more source

Accurate detecting concept drift in evolving data streams

ICT Express, 2020
Predictive models operating on the evolving data streams are dynamic. The performance of a model will deteriorate eventually when it suffers the effect of concept drift.
Myuu Myuu Wai Yan
doaj   +1 more source

The novel properties of SF$_6$ for directional dark matter experiments

, 2016
SF$_{6}$ is an inert and electronegative gas that has a long history of use in high voltage insulation and numerous other industrial applications. Although SF$_{6}$ is used as a trace component to introduce stability in tracking chambers, its highly ...
Lafler, R., Lauer, R. J., Lee, E. R., Loomba, D., Matthews, J. A. J., Miller, E. H., Phan, N. S.   +6 more
core   +1 more source

Fractional Chern insulators of few bosons in a box: Hall plateaus from center-of-mass drifts and density profiles

, 2020
Realizing strongly-correlated topological phases of ultracold gases is a central goal for ongoing experiments. And while fractional quantum Hall states could soon be implemented in small atomic ensembles, detecting their signatures in few-particle ...
Goldman, N., Léonard, J., Repellin, C.
core   +3 more sources

A Novel Framework for Concept Drift Detection using Autoencoders for Classification Problems in Data Streams [PDF]

, 2022
Usman Ali, Tariq Mahmood
openalex   +1 more source

Detecting Long-term Drift in Reagent Lots [PDF]

Clinical Chemistry, 2015
Abstract BACKGROUND Between-reagent lot verification is a routine laboratory exercise in which a set of samples is tested in parallel with an existing reagent lot and a candidate reagent lot (before the candidate lot is committed to test patient samples).
Jiakai, Liu, Chin Hon, Tan, Tze Ping, Loh, Tony, Badrick   +3 more
openaire   +2 more sources

Performance of the ATLAS Precision Muon Chambers under LHC Operating Conditions

, 2016
For the muon spectrometer of the ATLAS detector at the large hadron collider (LHC), large drift chambers consisting of 6 to 8 layers of pressurized drift tubes are used for precision tracking covering an active area of 5000 m2 in the toroidal field of ...
Deile, M., Dietl, H., Dubbert, J., Horvat, S., Kortner, O., Kroha, H., Manz, A., Mohrdieck, S., Rauscher, F., Richter, R., Staude, A.   +10 more
core   +1 more source

Detecting Interpretable Subgroup Drifts

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1
Currently under ...
Flavio Giobergia, Eliana Pastor, Luca de Alfaro, Elena Baralis   +3 more
openaire   +2 more sources