Results 121 to 130 of about 304,299 (338)
DBSCOUT: A Density-based Method for Scalable Outlier Detection in Very Large Datasets
Matteo Corain +2 more
openalex +2 more sources
Outlier robust extreme learning machine to simulate discharge coefficient of side slots [PDF]
Farzad Hasani, Saeid Shabanlou
openalex +1 more source
Fibrous benzenetrispeptide (BTP) hydrogels, fabricated via strain‐promoted azide‐alkyne cycloaddition (SPAAC) crosslinking, form robust, bioinert networks. These hydrogels can support 3D cell culture, where cell viability and colony growth depend on the fiber content.
Ceren C. Pihlamagi +5 more
wiley +1 more source
Introduction: The use of response surface designs for drug formulation is highly warranted nowadays. Such smart designs reduce the number of required experiments compared to full-factorial designs, while providing highly accurate and reliable results ...
Magdy M. Aly +2 more
doaj +1 more source
Detection of Outliers in Univariate Circular Data Using New Cut-off Points for the Circular Distance [PDF]
Benjawan Rattanawong +2 more
openalex +1 more source
Model-based analysis of oligonucleotide arrays: expression index computation and outlier detection.
Cheng Li, W. Wong
semanticscholar +1 more source
Uniform In‐Plane Growth of Large‐Area Ultrathin Zn2(benzimidazole)4 Membrane
A multicycle, ultradilute exposure strategy enables uniform in‐plane growth of ultrathin Zn2(benzimidazole)4 membranes on graphene, suppressing bulk nucleation and defects. The resulting centimeter‐scale films deliver high H2/CO2 separation performance, and are highly reproducible.
Shuqing Song +5 more
wiley +1 more source
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley +1 more source
Given the increasingly severe global fires, the accurate detection of small and fragmented cropland fires has been a significant challenge. The use of medium-resolution satellite data can enhance detection accuracy; however, key challenges in this ...
Sumei Zhang, Huijuan Li, Hongmei Zhao
doaj +1 more source
Evolving Fuzzy Min-max Neural Network for Outlier Detection
Nilam Upasani, Hari Om
openalex +1 more source

