Results 31 to 40 of about 88,867 (255)

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source

Conformal Anomaly Detection for Predictive Maintenance in Thermal Power Plants

IEEE Access
Thermal power plants are essential for maintaining a stable electricity supply but face high operational costs and potential economic losses due to unexpected equipment failures.
Ognjen Kundacina, Vladimir Vincan, Gorana Gojic, Vukan Ninkovic, Dragisa Miskovic   +4 more
doaj   +1 more source

Quality control algorithm of wind speed monitoring data along high-speed railway

Frontiers in Energy Research, 2023
For studying the traffic safety of the high-speed railway, this research considers high-quality second-level wind speed data as its basis. However, the quality of second-level wind speed data can be greatly lowered by disturbances during data collection ...
Yunfei Ye, Xiong Xiong, Yang Cui, Fan Yang   +3 more
doaj   +1 more source

Importin 7 mediates the nuclear import of HIV‐1 integrase via a specific interacting interface

FEBS Open Bio, EarlyView.
HIV‐1 integrase enables viral DNA integration into the host genome. By binding to the core domain of the host protein Importin 7 via its C‐terminal domain, the integrase is transported across the nuclear membrane into the nucleus, where integration of the viral genome into host DNA takes place. This translocation is a critical step for subsequent viral
Juana Bana, Avigail Yariv, Tal Oppenheim, Hadar Amartely, Dana Reichmann, Oded Livnah   +5 more
wiley   +1 more source

Federated Learning With Sailfish-Optimized Ensemble Models for Anomaly Detection in IoT Edge Computing Environment

IEEE Access
The 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

Identification of Spoofing Ships from Automatic Identification System Data via Trajectory Segmentation and Isolation Forest

Journal of Marine Science and Engineering, 2023
Outliers of ship trajectory from the Automatic Identification System (AIS) onboard a ship will affect the accuracy of maritime situation awareness, especially for a regular ship trajectory mixed with a spoofing ship, which has an unauthorized Maritime ...
Hailin Zheng, Qinyou Hu, Chun Yang, Qiang Mei, Peng Wang, Kelong Li   +5 more
doaj   +1 more source

Insider Threat Detection Model Using Anomaly-Based Isolation Forest Algorithm

IEEE Access, 2023
Insider attacks may inflict far greater damage to an organization than outsider threats since insiders are authorized users who are acquainted with the business’s system, making detection harder.
Taher Al-Shehari, Muna Al-Razgan, Taha Alfakih, Rakan A. Alsowail, Saravanan Pandiaraj   +4 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, Pawel Karczmarek, Mikhail Tokovarov   +2 more
openaire   +2 more sources

De novo synthesis of short‐chain aldehydes and hydrocarbons secreted by the brown marmorated stink bug Halyomorpha halys

FEBS Open Bio, EarlyView.
The brown marmorated stink bug, Halyomorpha halys, mainly secretes 4‐oxo‐(E)‐2‐hexenal, (E)‐2‐decenal, dodecane and tridecane, a mixture representative of that released by many heteropterans. We demonstrated that H. halys can synthesise these secretory components de novo using dietary glucose.
Haruna Fujimori, Koji Noge
wiley   +1 more source

Isolation Forest With Exclusion of Attributes Based on Shapley Index

IEEE Access
Recognizing 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, Pawel Karczmarek, Alicja Rachwal, Rafal Stegierski   +3 more
doaj   +1 more source