Results 191 to 200 of about 179,525 (295)

HEProOE: A hyperedge enhanced probabilistic optimal estimation method for detecting spatial fuzzy communities. [PDF]

Sci Rep
He X, Tang Z, Liu B, Duan J, Deng M.
europepmc   +1 more source

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
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, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source

A fuzzy ZE-number group decision-making framework using BWM and MABAC for risk assessment in medicinal plant extraction. [PDF]

PLoS One
Gheytasi F, Kianifard M, Ghoushchi SJ, Hafez-Ghoran S, Maghami MR, Mohamed M.   +5 more
europepmc   +1 more source

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

Advanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu, Ksenia Zlobina, Michael Briden, Oscar Avalos, Héctor Carrión, Sebastian Osorio, Hsin‐ya Yang, Alexandra Nava, Michelle D. Bagood, Marco Rolandi, Roslyn Rivkah Isseroff, Marcella Gomez   +11 more
wiley   +1 more source

Prioritization of hospital resilience indicators for disaster preparedness: a fuzzy Delphi-AHP approach in Iranian public hospitals. [PDF]

BMC Health Serv Res
Nakhaeipour M, Yazdanirad S, Ebrahimi H, Rismanchian M, Mousavi SM.   +4 more
europepmc   +1 more source

Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology

Advanced Intelligent Discovery, EarlyView.
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh, Raiyan Siddique, Sarah S. Sharif, Yaser Mike Banad   +3 more
wiley   +1 more source

Artificial intelligence in functional food innovation: Bioactive enhancement and formulation optimization: A quasi-systematic review. [PDF]

Food Chem X
Alkalbani N, Shahin L, Benzeghiba H, Obaid RS, Osaili TM, Cheik Ismail L, Al Qasssimi G, Rauf M, Abdulrahim K, Almashgouni A, Ashuweihi F, Al-Fuqaha D.   +11 more
europepmc   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

Smartphone Addiction, Use Preferences, and Depression Among Older Adults in the Digital Context: Machine Learning Analysis of Survey Data. [PDF]

JMIR Aging
Chen S, Song Y, Huang CC.
europepmc   +1 more source

A decision support system for identifying and evaluating crucial knowledge [PDF]

, 2006
Chakhar, Salem, Rosenthal-Sabroux, Camille, Saad, Ines   +2 more
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