Results 151 to 160 of about 137,292 (318)
m-step inverse fuzzy mixed competition graphs
The notion of competition graphs has a wide range of applications and has been utilized in designing various ecological problems and real-world competitions.
Rahul Mondal, Ganesh Ghorai
doaj +1 more source
In this paper, we provide three new operations on fuzzy graphs; namely direct product, semi-strong product and strong product.We give sufficient conditions for each one of them to be complete and we show that if any of these products is complete, then at least one factor is a complete fuzzy graph. Moreover, we introduce and study the notion of balanced
openaire +1 more source
The integration of foundation models into computational microscopy revolutionizes biomedical research by enhancing imaging resolution, accelerating data analysis, and enabling real‐time biological interpretation. This systematic review critically examines recent advancements, highlights translational challenges, and discusses the transformative ...
Di Ding+5 more
wiley +1 more source
Operations On Strict Fuzzy Graphs and Dominant Fuzzy Graphs
Regin Thangaraj, Vasantha Kandasamy W.B
openaire +2 more sources
This study proposes a method to quantify the printing quality of roll‐to‐roll gravure‐printed electronics by combining deep learning and spatial association analysis. The proposed approach enables real‐time objective evaluation of printing quality, and optimizes process conditions through response surface methodology. It significantly enhances printing
Juhuhn Kim+6 more
wiley +1 more source
Fuzzy Graph Clustering based on Non-Euclidean Relational Fuzzy c-Means [PDF]
Thomas A. Runkler, Vikram Ravindra
openalex +1 more source
A memristor‐based associative learning circuit is presented for real‐time, fault‐tolerant sensor fusion in autonomous systems. The circuit mimics biological learning to recognize driving scenarios even with missing or degraded sensor inputs. Its low‐power, analog architecture enables robust decision‐making across diverse conditions, offering a ...
Kapil Bhardwaj+3 more
wiley +1 more source
A novel medical image segmentation framework that integrates an enhanced Particle Swarm Optimization (EE‐PSO) into DeepLabV3+ to optimize feature selection. By dynamically identifying key channels in the atrous spatial pyramid pooling module, the method improves segmentation performance, achieving mIoU gains of 2.7% on Alzheimer's and 2.8% on brain ...
Alireza Norouziazad+8 more
wiley +1 more source