Results 61 to 70 of about 47,039 (298)
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Advanced Science, EarlyView.Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
APLIKASI MARKOV RANDOM FIELD PADA MASALAH INDUSTRI [PDF]
, 2004 Markov chain in the stochastic process is widely used in the industrial problems particularly in the problem of determining the market share of products.
Halim, Siana
core +2 more sources
APLIKASI MARKOV RANDOM FIELD PADA MASALAH INDUSTRI
Jurnal Teknik Industri, 2002 Markov chain in the stochastic process is widely used in the industrial problems particularly in the problem of determining the market share of products.
Siana Halim
doaj
A Markov Random Field Model for the Restoration of Foggy Images
International Journal of Advanced Robotic Systems, 2014 This paper presents an algorithm to remove fog from a single image using a Markov random field (MRF) framework. The method estimates the transmission map of an image degradation model by assigning labels with a MRF model and then optimizes the map ...
Fan Guo, Jin Tang, Hui Peng
doaj +1 more source
Concentration Inequalities for Functions of Gibbs Fields with Application to Diffraction and Random Gibbs Measures [PDF]
, 2002 We derive useful general concentration inequalities for functions of Gibbs fields in the uniqueness regime. We also consider expectations of random Gibbs measures that depend on an additional disorder field, and prove concentration w.r.t.
Külske, Christof +2 more
core +1 more source
Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning
Advanced Science, EarlyView.We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng +5 more
wiley +1 more source
Advanced Science, EarlyView.SMarT‐Diff introduces a multi‐objective generative paradigm that integrates scaffold hopping with structure‐aware scoring to enable controlled exploration beyond the training distribution. The framework consistently balances drug‐likeness, synthesizes accessibility and bioactivity, yielding chemically diverse candidates with enhanced properties.
Yuwei Yang +8 more
wiley +1 more source
gel-BSA-FITC Markov Random Field segmentation [PDF]
stack from gel-BSA-FITC labelled mouse-brain vasculature, segmented with Markov Random Field ...
Di Giovanna, Antonino Paolo
core +3 more sources
An Inhomogeneous Bayesian Texture Model for Spatially Varying Parameter Estimation [PDF]
, 2014 In statistical model based texture feature extraction, features based on spatially varying parameters achievehigher discriminative performances compared to spatially constant parameters. In this paper we formulate anovel Bayesian framework which achieves
Niranjan, Mahesan +3 more
core
PlantGFM: A Genomic Foundation Model for Discovery and Creation of Plant Genes
Advanced Science, EarlyView.A plant genomic foundation model pre‐trained on 12 species enables both accurate gene prediction and de novo gene design. Through AI‐human knowledge screening, seven designed sequences showed transcriptional activity in plants, with two expressing stable proteins—demonstrating the first DNA‐RNA‐protein expression of LLM‐generated genes in plants and ...
Changhao Li +10 more
wiley +1 more source