Results 281 to 290 of about 4,738,087 (364)

Machine Learning‐Driven Multi‐Objective Optimization of Microchannel Reactors for CO₂ Conversion

Advanced Sustainable Systems, EarlyView.
This study introduces a novel method that combines CFD, RSM, and ML to improve a microreactor's performance utilizing the Sabatier reaction. A range of ML models is assessed, and the best one is selected to predict optimal reactor conditions. ML shows the ability to predict performance in just milliseconds, leading to a decrease in computational time ...
Sandeep Kumar, Parmod Kumar, Kuljeet Singh Grewal   +2 more
wiley   +1 more source

Antibiotic–Polycationic Peptide Conjugation as an Effective Strategy to Overcome Daptomycin Resistance

Advanced Therapeutics, EarlyView.
Antimicrobial resistance necessitates the development of new antibiotics with “resistance‐breaking” properties. In this study, conjugation of polycationic peptides is proven to represent a versatile strategy for the fast and affordable reactivation of daptomycin.
Sari Rasheed, Florian Umstätter, Eric Mühlberg, Barbro Beijer, Tobias Hertlein, Karel D. Klika, Christian Kleist, Julia Werner, Cornelius Domhan, Mara Bingel, Anna Müller, Marvin Rausch, Stefan Zimmermann, Knut Ohlsen, Uwe Haberkorn, Marcus Koch, Markus Bischoff, Tanja Schneider, Rolf Müller, Jennifer Herrmann, Walter Mier, Philipp Uhl   +21 more
wiley   +1 more source

Recipe Based Anomaly Detection with Adaptable Learning: Implications on Sustainable Smart Manufacturing. [PDF]

Sensors (Basel)
Lee J, Jang J, Tang Q, Jung H.
europepmc   +1 more source

Epithelial Cell Mechanoresponse to Matrix Viscoelasticity and Confinement Within Micropatterned Viscoelastic Hydrogels

Advanced Science, EarlyView.
Extracellular matrix (ECM) viscoelasticity and spatial confinement regulate cellular processes such as cancer progression, yet their interplay remains poorly understood. By developing fibronectin (FN)‐micropatterned viscoelastic hydrogels mimicking breast cancer mechanics, this study explores breast epithelial cell mechanoresponse to ECM ...
Giuseppe Ciccone, Mariana Azevedo Gonzalez‐Oliva, Marie Versaevel, Marco Cantini, Massimo Vassalli, Manuel Salmeron‐Sanchez, Sylvain Gabriele   +6 more
wiley   +1 more source

Efficient anomaly detection in tabular cybersecurity data using large language models. [PDF]

Sci Rep
Zhao X, Leng X, Wang L, Wang N, Liu Y.
europepmc   +1 more source

The Awakening Brain is Characterized by a Widespread and Spatiotemporally Heterogeneous Increase in High Frequencies

Advanced Science, EarlyView.
This work explores the process of morning awakening of the human brain using polysomnography paired with simultaneous stereo‐electroencephalography, a method that provides high spatial and temporal resolution for examining brain activity. Awakening is characterized by an increase in high‐frequency spectral power and connectivity.
Tamir Avigdor, Guoping Ren, Chifaou Abdallah, François Dubeau, Christophe Grova, Birgit Frauscher   +5 more
wiley   +1 more source

Anomaly detection in virtual machine logs against irrelevant attribute interference. [PDF]

PLoS One
Zhang H, Zhou Y, Xu H, Shi J, Lin X, Gao Y.   +5 more
europepmc   +1 more source

State of the Art of Low‐Frequency Acoustic Modulation: Intensity Enhancement and Directional Control

Advanced Science, EarlyView.
High intensity low‐frequency sound sources hold significant value in many fields. However, their long wavelength, strong penetrability, and tendency to diffract make direction control and intensity enhancement challenging. Acoustic generators and metamaterial‐based acoustic devices still face issues such as low energy efficiency, poor directional ...
Jingsong Xu, Yunfeng Ye, Tao Dong, Zhaochu Yang, Nuno Miguel Matos Pires, Yu Zhou, Fuyu Tao, Jin Wang, Junshan Zhang, Guoxi Luo, Libo Zhao, Qi Mao, Yangtao Wang, Zhuangde Jiang   +13 more
wiley   +1 more source

An efficient hidden Markov model training scheme for anomaly intrusion detection of server applications based on system calls

, 2005
Xuan Dau Hoang, Jiankun Hu
openalex   +2 more sources

Anomaly Detection in High-Dimensional Time Series Data with Scaled Bregman Divergence. [PDF]

Algorithms
Wang Y, Zhang L, Si T, Bishop G, Gong H.
europepmc   +1 more source