Results 41 to 50 of about 82,044 (253)
IEEE AccessThe Internet of Things (IoT) has transformed cyber-physical systems by enabling seamless connectivity and automation. However, IoT devices face resource constraints, making anomaly detection challenging.
Aravam Babu, A. Bagubali
doaj +1 more source
Revisiting randomized choices in isolation forests
CoRR, 2021 Isolation forest or "iForest" is an intuitive and widely used algorithm for anomaly detection that follows a simple yet effective idea: in a given data distribution, if a threshold (split point) is selected uniformly at random within the range of some variable and data points are divided according to whether they are greater or smaller than this ...
openaire +2 more sources
Molecular Oncology, EarlyView.Many patients with urothelial cancer do not benefit from treatment with pembrolizumab, while at risk of severe side effects. Changes in the levels of circulating tumor DNA early during treatment, measured by a simple and affordable assay that can be easily implemented in the clinic, can be used as a prognostic tool to identify these patients.
Youssra Salhi +14 more
wiley +1 more source
A Heuristic Approach Using Template Miners for Error Prediction in Telecommunication Networks
IEEE Access, 2022 With the appearance of large-scale systems, the size of the generated logs increased rapidly. Almost every software produces such files. Log files contain runtime information of the software, as well as indicate noteworthy events or suspicious behaviors ...
Peter Marjai +2 more
doaj +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
Isolation Forest With Exclusion of Attributes Based on Shapley Index
IEEE AccessRecognizing anomalies is an extremely important process in data analysis, aimed at identifying patterns in data that deviate from known norms or typical standards.
Albert Rachwal +3 more
doaj +1 more source
Visual Perception-Based Fault Diagnosis in Froth Flotation Using Statistical Approaches
Tsinghua Science and Technology, 2021 Froth flotation is an important mineral concentration technique. Faulty conditions in flotation processes may cause the huge waste of mineral resources and reagents, and consequently, may lead to deterioration in terms of benefits of flotation plants. In
Jin Zhang +4 more
doaj +1 more source
Molecular Oncology, EarlyView.Interferon type 1 (IFN‐1) production and signaling is associated with the acquisition of therapy resistance, following chronic DNA damage, via Interferon‐related DNA damage resistance signature (IRDS) gene expression. An alternative, DNA damage‐independent role of sustained IFN‐1 mediated resistance was identified and characterized by the emergence of ...
Ashlyn Conant +11 more
wiley +1 more source
Hyperspectral Anomaly Detection With Otsu-Based Isolation Forest
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Hyperspectral anomaly detection involves in many practical applications. Traditional anomaly detection methods are mainly proposed based on statistical models and geometrical models.
Yuxiang Zhang +3 more
doaj +1 more source
Isolation Forest Based on Minimal Spanning Tree
IEEE Access, 2022 Detecting anomalies in data sets has been one of the most studied issues in modern data analysis. Therefore, there is a plethora of applications in a very wide range of fields of science and technology. One of the most frequently used anomaly detection methods is Isolation Forest.
Lukasz Galka +2 more
openaire +2 more sources