Bipolar-valued hesitant fuzzy graph and its application. [PDF]
Pandey SD, Ranadive AS, Samanta S.
europepmc +1 more source
Climate Change Mitigation in the Dairy Sector: Uncovering Heterogeneity Through Eco‐Efficiency Clubs
ABSTRACT Combining climate change goals with economic targets is crucial for the dairy sector, which is a significant contributor to agricultural greenhouse gas (GHG) emissions worldwide. In this paper, we assess economic and climate change implications of dairy production with panel data of Irish dairy farms from 2013 to 2021.
Doris Läpple +2 more
wiley +1 more source
A novel approach to cancer treatment planning using inverse sum indeg index of fuzzy graphs
Fuzzy graph theory, with its ability to handle uncertainty and varying relationship strengths, offers a powerful tool for modeling and solving complex problems across diverse fields like medical, social network, biological networks, etc.
Umapada Jana, Ganesh Ghorai
doaj +1 more source
Further development of F-index for fuzzy graph and its application in Indian railway crime. [PDF]
Islam SR, Pal M.
europepmc +1 more source
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source
A fuzzy graph approach analysis for COVID-19 outbreak. [PDF]
Hassan N +6 more
europepmc +1 more source
Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser +6 more
wiley +1 more source
A novel concept of domination in m-polar interval-valued fuzzy graph and its application. [PDF]
Bera S, Pal M.
europepmc +1 more source
Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong +5 more
wiley +1 more source
Identification of bovine, porcine and fish gelatin signatures using chemometrics fuzzy graph method. [PDF]
Hassan N, Ahmad T, Zain NM, Awang SR.
europepmc +1 more source

