Results 101 to 110 of about 4,885 (281)
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
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang +9 more
wiley +1 more source
This paper introduces a resource‐aware Contrastive Scattering Meta‐Learning (CSML) framework for acoustic anomaly detection. By leveraging training‐free wavelet scattering and metric‐based meta‐learning, the model achieves competitive performance with only 50 K learnable parameters—a 98% reduction compared to state‐of‐the‐art frameworks—enabling ...
Rami Zewail, Bassem Mokhtar
wiley +1 more source
Two channel data acquisition system for heart sound segmentation algorithm based on instantaneous energy of electrocardiogram [PDF]
This paper presents the hardware design of 2- channel data acquisition system for heart sound and Electrocardiogram (ECG) to capture the heart sound and ECG simultaneously from patients; and software algorithm to detect the first heart sound (S1) and ...
J., M. Najeb +2 more
core
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley +1 more source
Abstract Community action focused on sociocultural and environmental influences to prevent alcohol and other drug (AOD) use and related harms is a global priority. Despite this recognition, understanding of effective community‐level approaches is limited.
Peter Gates, Andrea Zocco, Sara Farnbach
wiley +1 more source
A Comprehensive Overview of Heart Sound Analysis Using Machine Learning Methods
Cardiovascular diseases (CVDs) are a prevalent cause of mortality worldwide, and the traditional cardiovascular disease diagnosis has relied heavily on stethoscope-based heart sound auscultations.
Motaz Faroq A. Ben Hamza +1 more
doaj +1 more source
Recent Advances in Stimulated Brillouin Scattering in Integrated Photonics
This review systematically surveys recent advances in stimulated Brillouin scattering (SBS) within integrated photonics. It begins by elucidating the fundamental mechanisms of stimulated coupling between photons and acoustic phonons in nanoscale waveguides, enhanced by the photoelastic and moving boundary effects.
Songyue Liu +8 more
wiley +1 more source
On modifying the temporal modeling of HSMMs for pediatric heart sound segmentation
Heart sounds are difficult to interpret because a) they are composed by several different sounds, all contained in very tight time windows; b) they vary from physiognomy even if the show similar characteristics; c) human ears are not naturally trained to recognize heart sounds.
Jorge Oliveira 0002 +4 more
openaire +2 more sources
Guiding and Manipulating Light Fields in Microstructured Liquid Crystals
This review summarizes recent advances in guided‐wave optics enabled by microstructured liquid crystal (LC) devices, covering their fundamental material properties, key degree of freedom for dynamic light field manipulations. The advances of linear guided‐wave optics, nonlinear‐optics with spatial optical solitons, and microlasers in LC‐based devices ...
Shan‐shan Chang +2 more
wiley +1 more source

