Results 191 to 200 of about 3,020,093 (290)

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

A simple preprocessing approach for improving semantic segmentation in unsupervised domain adaptation. [PDF]

Sci Rep
Ettedgui S, Abu-Hussein S, Giryes R.
europepmc   +1 more source

Unsupervised Domain Adaptation for Segmentation with Black-box Source Model. [PDF]

Proc SPIE Int Soc Opt Eng, 2022
Liu X, Yoo C, Xing F, Kuo CJ, El Fakhri G, Kang JW, Woo J.   +6 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

Privacy-preserving federated unsupervised domain adaptation with application to age prediction from DNA methylation data. [PDF]

Bioinformatics
Baykara CA, Ünal AB, Pfeifer N, Akgün M.   +3 more
europepmc   +1 more source

TSTELM: Two-Stage Transfer Extreme Learning Machine for Unsupervised Domain Adaptation. [PDF]

Comput Intell Neurosci, 2022
Zang S, Li X, Ma J, Yan Y, Gao J, Wei Y.
europepmc   +1 more source

Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning

Advanced Intelligent Discovery, EarlyView.
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang, Yongqing Zhang, Xinyu Deng, Hyeon Jeong Lee, Delong Zhang   +4 more
wiley   +1 more source

Contrastive learning enhanced pseudo-labeling for unsupervised domain adaptation in person re-identification. [PDF]

PLoS One
Bai X, Zhang Y, Zhang C, Wang Z.
europepmc   +1 more source

Unsupervised Domain Adaptation with Shape Constraint and Triple Attention for Joint Optic Disc and Cup Segmentation. [PDF]

Sensors (Basel), 2022
Zhang F, Li S, Deng J.
europepmc   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source