Results 121 to 130 of about 145,281 (336)

Climate Change Mitigation in the Dairy Sector: Uncovering Heterogeneity Through Eco‐Efficiency Clubs

open access: yesAgribusiness, EarlyView.
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

Vertex Degrees and Isomorphic Properties in Complement of an m-Polar Fuzzy Graph

open access: yesAdvances in Fuzzy Systems, 2017
Computational intelligence and computer science rely on graph theory to solve combinatorial problems. Normal product and tensor product of an m-polar fuzzy graph have been introduced in this article.
Ch. Ramprasad   +3 more
doaj   +1 more source

A fuzzy graph approach analysis for COVID-19 outbreak. [PDF]

open access: yesResults Phys, 2021
Hassan N   +6 more
europepmc   +1 more source

Mining λ-Maximal Cliques from a Fuzzy Graph [PDF]

open access: gold, 2016
Fei Hao   +3 more
openalex   +1 more source

Cellpose+, a Morphological Analysis Tool for Feature Extraction of Stained Cell Images

open access: yesAdvanced Intelligent Discovery, EarlyView.
We introduce Cellpose plus, a morphological and geometrical analysis tool for feature extraction of stained cell images built over Cellpose, a state‐of‐the‐art cell segmentation framework. We also introduce a dataset of DAPI and FITC stained cells to which our new method is applied.
Israel A. Huaman   +10 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

Home - About - Disclaimer - Privacy