Results 151 to 160 of about 122,878 (262)

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Factors associated with patient use of primary care outside of their capitated primary care enrolment group: Multilevel analysis. [PDF]

Can Fam Physician
Sibley LM, Shaikh S, Weir S, Alam N, Mathew S, Kantarevic J.   +5 more
europepmc   +1 more source

Hardware‐Based On‐Chip Learning Using a Ferroelectric AND‐Type Array With Random Synaptic Weights

Advanced Intelligent Systems, EarlyView.
This work demonstrates an energy‐efficient on‐chip learning system using an Metal‐Ferroelectric‐Insulator‐Semiconductor FeAND synaptic array. By employing a feedback alignment scheme with a separate backward array using fixed random weights, the system overcomes directional limitations of AND‐type arrays and achieves robust, low‐power learning suitable
Minsuk Song, Changhyeon Han, Joonhyeok Choi, Jongwoo Lee, Hyun‐min Kim, Wongi Hong, Ujin Kim, Sung‐Tae Lee, Daewoong Kwon   +8 more
wiley   +1 more source

Multilevel analysis of salt stress responses in sorghum during seed germination. [PDF]

Front Plant Sci
Wang HJ, Yu Y, Zhao Y, Wang H, Hu X, Ullah U, Yang B, Huang J, Chen K, Khan AH, Abbas W, Feng G, Kuerban Z.   +12 more
europepmc   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Risk factors for harmful alcohol consumption: a multilevel analysis. [PDF]

Rev Lat Am Enfermagem
Gaia JLOP, Lima AVC, Oliveira SR, Oliveira JL, Pereira CF, Vargas D.   +5 more
europepmc   +1 more source

Thermally Stable Organic Synaptic Transistors Using a High‐Tg Polymer Electret

Advanced Intelligent Systems, EarlyView.
A high–glass‐transition‐temperature cyclic olefin copolymer (COC) electret enables thermally stable organic synaptic transistors for neuromorphic operation in harsh environments. UV–ozone treatment increases the trap density in COC, providing robust multilevel conductance and key synaptic functions (excitatory postsynaptic current/ inhibitory ...
Hoyoung Cho, Bombi Kim, Kyoungeun Lee, Moohyun Kim, Chaegwang Lim, Yeyun Bae, Jaeyeop Lee, Jiyoon Oh, Hyeok Kim, Jeongkyun Roh   +9 more
wiley   +1 more source

A Neuromorphic Simulation Framework for Indium‐Gallium‐Zinc‐Oxide Charge‐Trap Synaptic Transistors: From Device Modeling to System Simulation

Advanced Intelligent Systems, EarlyView.
This work presents a comprehensive framework bridging device fabrication, modeling, and system‐level simulation for an indium‐gallium‐zinc‐oxide (IGZO) charge‐trap synaptic transistor‐based neuromorphic system. By developing a precise SPICE model derived from fabricated IGZO synaptic transistors, the study incorporates parasitic RC loads into array ...
Yumin Yun, Junhyeong Park, Sunyeol Bae, Chae‐Hwan Park, Dong Hyeon Lee, Soo‐Yeon Lee   +5 more
wiley   +1 more source

High parity in Somaliland: individual and community-determinants from multilevel analysis of nationwide survey data. [PDF]

Arch Public Health
Nuh AM, Mohamed SA, Ali HA, Abdi HA, Muse AH, Osman OM.   +5 more
europepmc   +1 more source

Neuromorphic Denoising with Fully Analog Memristive In‐Memory Computing

Advanced Intelligent Systems, EarlyView.
This article borrows the concepts of episodic memory in human brains to experimentally implement a memristor‐based neuromorphic denoising process. A homogeneous memristor processing unit is experimentally demonstrated for both temporal storage and neural network computation, imitating the synapses in the human brain.
Daijing Shi, Teng Zhang, Yuqi Li, Yaoyu Tao, Bonan Yan, Yuchao Yang   +5 more
wiley   +1 more source