Results 121 to 130 of about 19,473 (302)
In this work, low‐resolution infrared imaging is combined with a 28 nm FeFET IMC architecture to enable compact, energy‐efficient edge inference. MLC FeFET devices are experimentally characterized, and controlled multi‐level current accumulation is validated at crossbar array level.
Alptekin Vardar +9 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
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
Fuzzy Dynamic Discrimination Algorithms for Distributed Knowledge Management Systems [PDF]
A reduction of the algorithmic complexity of the fuzzy inference engine has the following property: the inputs (the fuzzy rules and the fuzzy facts) can be divided in two parts, one being relatively constant for a long a time (the fuzzy rule or the ...
Vasile MAZILESCU
core
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
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
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
Deep Ensemble Stochastic Configuration Network via Graph Intuitionistic Fuzzy for Depression Recognition [PDF]
Depression is an affective disorder that poses a serious threat to both mental and physical health. Utilizing fuzzy-based neural network models for the identification and screening of depression can facilitate early intervention and treatment ...
Zhang, David +4 more
core +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
Powerful and Powerless Fuzzy Graphs and it’s Application
In this article, we aim to enhance a fuzzy graph to achieve its optimal state and introduce a powerless or powerful fuzzy graph derived from it. To accomplish this, we will define a semi-strong arc and first determine modified fuzzy graphs that result ...
Elham Darabian, Rajab Ali Borzooei
doaj

