Results 51 to 60 of about 161,068 (368)
Unsupervised clustering approach for network anomaly detection [PDF]
, 2012 This paper describes the advantages of using the anomaly detection approach over the misuse detection technique in detecting unknown network intrusions or attacks.
Syarif, Iwan +2 more
core
Network Anomaly Detection Using Federated Learning and Transfer Learning [PDF]
, 2020 Since deep neural networks can learn data representation from training data automatically, deep learning methods are widely used in the network anomaly detection.
Jian Teng +9 more
core +1 more source
Tumor B‐cell infiltration in platinum‐treated advanced muscle‐invasive urothelial carcinoma
Molecular Oncology, EarlyView.Bladder tumors with higher pretreatment memory B‐cell infiltration were linked to longer survival after cisplatin chemotherapy, but not carboplatin. These tumors also showed more organized immune structures (tertiary lymphoid structures) and a shared pro‐inflammatory B‐cell‐rich community, suggesting that memory B cells may help identify patients most ...
Konrad Stawiski +10 more
wiley +1 more source
A steam turbine anomaly detection method based on O-DAE and SVDD
Zhejiang dianli, 2023 Anomaly detection in unlabeled and highly imbalanced monitoring data is one of the most urgent to be solved and challenging industry problems. The use of autoencoders for anomaly detection is becoming more and more popular due to the powerful high ...
XU Weimin +5 more
doaj +1 more source
Anomaly detection in surveillance videos [PDF]
, 2019 The main task of this thesis is to review anomaly detection methods and then demonstrate the use of a state of the art approach to detect nudity as an anomaly in a surveillance video. The following contributions were made.
Aggrey, Eric Majuk
core
Spectrum Anomaly Detection for Optical Network Monitoring using Deep Unsupervised Learning [PDF]
, 2021 Accurate and efficient anomaly detection is a key enabler for the cognitive management of optical networks, but traditional anomaly detection algorithms are computationally complex and do not scale well with the amount of monitoring data.
Furdek Prekratic, Marija, +11 more
core +1 more source
Molecular Oncology, EarlyView.Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park +6 more
wiley +1 more source
Anomaly detection in RFID systems [PDF]
International Journal of Radio Frequency Identification Technology and Applications, 2011 The level of sophistication exhibited by RFID tags is affected by not only their financial cost but also their ability to provide (extensive) cryptographic functionalities. It follows that low-cost tags offer no real control access. To tackle this issue, we propose an anomaly detection system that attempts to identify deviations from normal behaviour ...
Khaled Garri +3 more
openaire +2 more sources
Online anomaly detection with constant false alarm rate [PDF]
, 2015 We propose a computationally highly scalable online anomaly detection algorithm for time series, which achieves - with no parameter tuning- a specified false alarm rate while minimizing the miss rate.
Ibrahim Delibalta +7 more
core +1 more source
FEBS Open Bio, EarlyView.Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source