Results 211 to 220 of about 119,587 (309)

Holographic Mapping of Orbital Angular Momentum using a Terahertz Diffractive Optical Neural Network

Advanced Intelligent Discovery, EarlyView.
A compact six‐layer diffractive optical neural network enables direct recognition and spatial mapping of terahertz (THz) orbital angular momentum (OAM) beams. Fabricated by 3D printing, the system distinguishes nine OAM modes and their superpositions with high fidelity, good efficiency, and low crosstalk, offering a scalable solution for THz ...
Wei Jia, Miguel Gomez, Steve Blair, Berardi Sensale‐Rodriguez   +3 more
wiley   +1 more source

Correction: Decoding stakeholders' demand to map the future of smart communities: evidence from China. [PDF]

Front Public Health
Qi W, Shan Y, Ma L, Wu H, Yan H, Han P, Gu T.   +6 more
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 lexicon about innovation in research and innovation projects for agrifood system transformation and sustainability transitions. [PDF]

Data Brief
Alexandre C, Valentin S, Dolinska A, Guillonnet R, Helmer T, Henriquez P, Lima De Faria M, Mathe S, Navas J, Roefs M, Triomphe B, Roche M, Toillier A.   +12 more
europepmc   +1 more source

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

Advanced Intelligent Discovery, EarlyView.
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez, Cibrán López, Edgardo Saucedo, Teruyasu Mizoguchi, Claudio Cazorla   +4 more
wiley   +1 more source

Unraveling hierarchical penetration mechanisms and coupling relationships of safety risks in major transportation infrastructure construction using text mining and complex networks. [PDF]

Sci Rep
Liu W, Kang X, Ye Q, Xie J.
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

Natural language processing of biomedical text to map and prioritize protein-disease associations in HFpEF. [PDF]

Comput Biol Med
Santana C, Mukherjee C, Quazi A, Menezes R, Filkov V, Sigdel D, Choi H, Ebong I, Sirish P, Anderson NR, Wang X, Ji H, Han J, Roshanravan B, Izu LT, Smith TW, Chiamvimonvat N, Clancy CE, Cadeiras M, Liem DA.   +19 more
europepmc   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

The ROBOKOP v1.0 knowledge graph system for exploring relationships between biomedical entities. [PDF]

Sci Rep
Fecho K, Morris E, Beasley JM, Carter EK, Chung CH, Edwards S, Glymph D, Korn D, Olasunkanmi O, Pasfield C, Ramon M, Richardson J, Tucker N, Williams D, Zheng W, Tropsha A, Bizon C.   +16 more
europepmc   +1 more source