Results 101 to 110 of about 336,769 (240)

Chest radiographs versus CT for the detection of rib fractures in children (DRIFT): a diagnostic accuracy observational study [PDF]

, 2018
Susan C. Shelmerdine, Dean Langan, J. Ciaran Hutchinson, Melissa Hickson, Kerry Pawley, J Suich, Liina Palm, Neil J. Sebire, Angela Wade, Owen J. Arthurs, Kenneth H. Johnson, E. McLoughlin, C Lacroix, Prajwalita Tarunkumar Sutaria, Pip Logan, M.A. Verhagen, Farrukh Arfeen, Anoushka Ljutikov, Mustafa Anjari, Ambika Gupta, MJ Soo, G Corral Guajardo, Zehour Alsabban, NM Majeed, Claire Cuscaden, Mohamed Abdeen, YS Al-Ali, S Jerew, Andrew Kirby, Sang Hyun Choi, Trevor Gaunt, Christopher Dodd, K. Halliday, L. Howard Hartley, Kristin A. MacDonald, Laura Preston, KA Duncan, BA Sethi, AJ Quigley, J Amarnath, Joy Barber, CJ Ashwin, C Keaney, CZ Lam, Eman B. Marie, M. Matta, M. D. Williams   +46 more
openalex   +1 more source

Drift detection on feature attributions for monitoring visual reinforcement learning models in maritime port surveillance [version 1; peer review: 3 approved]

Open Research Europe
Background Maritime activity is expanding globally, increasing the demand for robust port security systems capable of detecting illegal trafficking.
Adrián Carrizo-Pérez, Beatrice Azoubel, Ignacio Arganda-Carreras, Andrés Chica Linares, Luis Unzueta, Francisco Javier Iriarte   +5 more
doaj   +1 more source

Concept Drift Detection Based on Deep Neural Networks and Autoencoders

Applied Sciences
In domains such as fraud detection, healthcare, and industrial equipment maintenance, streaming data often exhibit characteristics such as continuous generation, high real-time processing requirements, and complex distributions, making it susceptible to ...
Lisha Hu, Yaru Lu, Yuehua Feng
doaj   +1 more source

DAMAGE OBSERVATION AND DETECTION USING ACCELEROMETER OF DRY PARTITION WALL INSTALLED IN STEEL MOMENT FRAME UNDER LARGE STORY DRIFT

, 2021
Shotaro YAGI, Jun Iyama, Yoshihiro Fukushima, Shoichi KISHIKI, Takanori Ishida, Tsuyoshi SEIKE, Satoshi YAMADA   +6 more
openalex   +2 more sources

Concept Drift Detection via Equal Intensity k-Means Space Partitioning [PDF]

, 2020
Anjin Liu, Jie Lü, Guangquan Zhang
openalex   +1 more source

Adaptive-Delta ADWIN for Balancing Sensitivity and Stability in Streaming IDS

Journal of Information Systems and Informatics
In dynamic traffic networks, intrusion detection systems (IDS) must handle dynamic data stream where traffic changes occur, and concept drift is customary.
Rodney Buang Sebopelo
doaj   +1 more source

CURIE: a cellular automaton for concept drift detection: a cellular automaton for concept drift detection

, 2021
Data stream mining extracts information from large quantities of data flowing fast and continuously (data streams). They are usually affected by changes in the data distribution, giving rise to a phenomenon referred to as concept drift. Thus, learning models must detect and adapt to such changes, so as to exhibit a good predictive performance after a ...
Lobo, Jesus L., Del Ser, Javier, Osaba, Eneko, Bifet, Albert, Herrera, Francisco   +4 more
openaire   +1 more source

Comparison of Off-the-Shelf Methods and a Hotelling Multidimensional Approximation for Data Drift Detection

Machine Learning and Knowledge Extraction
Data drift can significantly impact the outcome of a model. Early detection of data drift is crucial for ensuring user confidence in predictions. It allows the user to check if a particular model needs retraining using updated data to adapt to the ...
J. Ramón Navarro-Cerdán, Vicent Ortiz Castelló, David Millán Escrivá   +2 more
doaj   +1 more source

Hydrogen Leakage Detection in Confined Spaces with Drift Suppression Based on Subspace Alignment [PDF]

Haifeng Se, Jinhai Jiang, Chuanyu Sun, Kai Song   +3 more
openalex   +1 more source

Investigating the Effects of Attack Detection for In-Vehicle Networks Based on Clock Drift of ECUs

, 2018
Haojie Ji, Yunpeng Wang, Hongmao Qin, Xinkai Wu, Guizhen Yu   +4 more
openalex   +1 more source