Results 151 to 160 of about 6,505 (303)

Optimized Deep Learning-Based Multilevel DC-DC Converter for Fast Charging of Electric Bikes

International Journal of Computational Intelligence Systems
Rapid growth of electric bikes demands fast-charging systems that are efficient, stable, and capable of operating under varying load and voltage conditions.
Jawahar Marimuthu, Edward Rajan Samuel Nadar   +1 more
doaj   +1 more source

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

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

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

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

Advanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison, Kevin Nadaud, Josquin Harrison, Guillaume F. Nataf, Laura Bégon‐Lours   +4 more
wiley   +1 more source

Interaction of FXTAS Family History and College Degree Attainment Predicts Trajectories of Cognitive and Motor Symptoms in FMR1 Premutation Carrier Women

American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, EarlyView.
ABSTRACT The present longitudinal study focuses on FMR1 premutation carrier women during midlife and early old age (n = 115). Bringing together the genetic risk factor of a family history of FXTAS and the environmental protective factor of higher education, the goal of the study was to determine how these factors potentially interact to predict self ...
Jinkuk Hong, Leann Smith DaWalt, Jessica Klusek, Elizabeth M. Berry‐Kravis, Marsha Mailick   +4 more
wiley   +1 more source

Citrus aurantium honey‐mediated gut homeostasis and anti‐inflammation via Thorl/Nprl2‐TORC1 signaling: Network pharmacology and Drosophila validation

Animal Models and Experimental Medicine, EarlyView.
The study employed a four‐tiered strategy: (1) UHPLC‐FTMS profiling of Citrus aurantium honey to characterize its chemical composition; (2) network pharmacology analysis integrating target prediction, protein–protein interaction networks, and KEGG pathway enrichment to identify the Thor1/Nprl2‐TORC1 axis as a key mechanistic pathway; (3) in vitro ...
Wenqi Wan, Ruiguang Huang, Shuqiong Cao, Luxia Pan, Wenkai Zhang, Wujun Jiang, Zhiyong Liu   +6 more
wiley   +1 more source

How far behind in number are socioeconomically disadvantaged pupils when they start school in England?

British Educational Research Journal, EarlyView.
Abstract This paper examines the gap in number skills between socioeconomically disadvantaged and non‐disadvantaged children in the first year of compulsory schooling in England. Past research mostly relies on statutory assessment data collected towards the end of the first year of school and does not show the attainment gap associated with ...
Martin Culliney, Joanne Robson
wiley   +1 more source

Bootstrap cascaded multilevel converter

IEICE Electronics Express, 2014
Jose Genaro Gonzalez-Hernandez, Jose Eduardo Martinez-Bernal, Antonio Valderrabano-Gonzalez, Julio Cesar Rosas-Caro, Francisco Beltrán-Carbajal, Juan Manuel Ramírez-Arredondo, Juan Miguel González-Lopez   +6 more
openaire   +2 more sources

Marine silicon for biomedical sustainability

BMEMat, EarlyView.
Schematic illustrating marine silicon for biomedical engineering. Abstract Despite momentous divergence from oceanic origin, human beings and marine organisms exhibit elemental homology through silicon utilization. Notably, silicon serves as a critical constituent in multiple biomedical processes.
Yahui Han, Zhibo Yang, Wei Xia, Chengtie Wu   +3 more
wiley   +1 more source