Results 181 to 190 of about 4,573,641 (310)

Nested Binary Classifier as an Outlier Detection Method in Human Activity Recognition Systems. [PDF]

Entropy (Basel), 2023
Duraj A, Duczymiński D.
europepmc   +1 more source

Navigating Ternary Doping in Li‐ion Cathodes With Closed‐Loop Multi‐Objective Bayesian Optimization

Advanced Materials, EarlyView.
The search for advanced battery materials is pushing us into highly complex composition spaces. Here, a space with about 14 million unique combinations is efficiently explored using high‐throughput experimentation guided by Bayesian optimization with a deep kernel trained on both the Materials Project database and our data.
Nooshin Zeinali Galabi, Cheng‐Hao Liu, Moksh Jain, Marc Kamel, Shipeng Jia, Yoshua Bengio, Eric McCalla   +6 more
wiley   +1 more source

Multi-View Clustering-Based Outlier Detection for Converter Transformer Multivariate Time-Series Data. [PDF]

Sensors (Basel)
Shi Y, Guo J, Tian J, Yi T, Meng Y, Tian Z.   +5 more
europepmc   +1 more source

Outlier detection for multi-network data. [PDF]

Bioinformatics, 2022
Dey P, Zhang Z, Dunson DB.
europepmc   +1 more source

Material Preparation Information File (MPIF): A Community‐Driven Standard for Reporting MOF Syntheses

Advanced Materials, EarlyView.
The Material Preparation Information File (MPIF) establishes a universal, community‐driven format for documenting the synthesis of metal–organic frameworks and related materials. By capturing complete, machine‐readable synthesis and characterization details, MPIF enhances reproducibility, supports FAIR data sharing, and bridges experimental chemistry ...
Ocean Cheung, Shun Tokuda, Damian Jędrzejowski, Evelyn Ploetz, Bettina Baumgartner, Marzena Pander, Fengxu Yang, Jack D. Evans, Romy Ettlinger, Stefan Wuttke, Dariusz Matoga   +10 more
wiley   +1 more source

AHE-FNUQ: An Advanced Hierarchical Ensemble Framework with Neural Network Fusion and Uncertainty Quantification for Outlier Detection in Agri-IoT. [PDF]

Sensors (Basel)
Amamou A, Lamrini M, Ben Mahria B, Balboul Y, Hraoui S, Hegazy O, Touhafi A.   +6 more
europepmc   +1 more source

Impact of Dimensionality Reduction on Outlier Detection: an Empirical Study. [PDF]

IEEE Int Conf Trust Priv Secur Intell Syst Appl, 2022
Vaidya V, Vaidya J.
europepmc   +1 more source

Using a Zero‐Strain Reference Electrode to Distinguish Anode and Cathode Volume Changes in a Solid‐State Battery

Advanced Materials Interfaces, EarlyView.
Volume changes of a solid‐state battery cell are separated into the individual contributions of anode and cathode. Simultaneously determining the “reaction volumes” of both electrodes requires a reference electrode with a pressure‐independent potential.
Mervyn Soans, Benedikt Huber, Marcel Drüschler, Dominic Bresser, Alberto Varzi, Christoffer Karlsson   +5 more
wiley   +1 more source

Application of weighted low rank approximations: outlier detection in a data matrix. [PDF]

BMC Res Notes
García-Peña M, Arciniegas-Alarcón S, Basford KE.   +2 more
europepmc   +1 more source

Cholesterol‐DNA Origami Nanostructures for Synthetic Lipid Rafts Induce Early T Cell Activation Signals

Advanced Materials Interfaces, EarlyView.
Here, we present a nanotechnology approach to construct synthetic lipid rafts on the live T cell membrane, leveraging a versatile DNA origami‐enabled platform named as the “cholesterol nano‐patch” (CNP). Our investigation highlights the effectiveness of DNA nanotechnology in exploring the impact of nanoscale arrangement of cholesterols on the ...
Yunmin Jung, Young‐Joo Kim, Kunwoo Noh, Sunmi Lee, Minsuk Kwak   +4 more
wiley   +1 more source