Results 221 to 230 of about 137,292 (318)
Effect of NH3 on the Nature of Ag‐Nanoparticles Prepared via the Borohydride Reduction
Ag0 nanoparticles formed via the Creighton method (via borohydride reduction) show markedly different size, structure, and catalytic properties depending on the Ag+ precursor and presence of NH3. Although SO42− and NO3− are noncoordinating, they still influence growth. Notably, the simple NH3 ligand induces significant structural changes, demonstrating
Stephena Elsie+3 more
wiley +1 more source
Categorization and Labeling of Red Variations in Lip Makeup
ABSTRACT The color cosmetic industry lacks a standardized and universally accepted system for practical color communication, posing significant challenges. This study addresses these challenges by categorizing and labeling variations of red in lip makeup.
Boram Kim+3 more
wiley +1 more source
Iterative segmentation and classification for enhanced crop disease diagnosis using optimized hybrid U-Nets model. [PDF]
Chilakalapudi M, Jayachandran S.
europepmc +1 more source
ABSTRACT This research uses the province of Bas‐Uele as a case study to examine the often‐overlooked historical conditions that contribute to conflicts among ethnic communities in the Democratic Republic of Congo. Following a conflict mapping model and analyzing qualitative data collected through semi‐structured interviews with 20 local authorities and
Eustache Z. Zigashane
wiley +1 more source
Recurrent academic path recommendation model for engineering students using MBTI indicators and optimization enabled recurrent neural network. [PDF]
V A, Elayidom M S.
europepmc +1 more source
Case Study of Non Strong Arc in Cartesian Product of Fuzzy Graphs
C.Y. Ponnappan, V. Senthilkumar
openalex +1 more source
Small U‐Net for Fast and Reliable Segmentation in Imaging Flow Cytometry
A schematic illustrating the key components and workflow for training a U‐Net model with a customizable architecture. The process begins with data curation and annotation using the integrated GUI, followed by model configuration and training, and concludes with deployment optimized for performance metrics and processing speed.
Sara Kaliman+8 more
wiley +1 more source
Wiener index application in intuitionistic fuzzy rough graphs for transport network flow. [PDF]
Shaik N, Shaik SB.
europepmc +1 more source
Abstract Machine‐learning (ML) models in flow cytometry have the potential to reduce error rates, increase reproducibility, and boost the efficiency of clinical labs. While numerous ML models for flow cytometry data have been proposed, few studies have described the clinical deployment of such models.
Lauren M. Zuromski+10 more
wiley +1 more source