Identification of rare cortical folding patterns using unsupervised deep learning [PDF]
Louise Guillon +8 more
openalex +1 more source
Engineering Immune Cell to Counteract Aging and Aging‐Associated Diseases
Advanced Science, EarlyView.This review highlights a paradigm shift in which advanced immune cell therapies, initially developed for cancer, are now being harnessed to combat aging. By engineering immune cells to selectively clear senescent cells and remodel pro‐inflammatory tissue microenvironments, these strategies offer a novel and powerful approach to delay age‐related ...
Jianhua Guo +5 more
wiley +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
Advanced Science, EarlyView.The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
PROTECT: Protein circadian time prediction using unsupervised learning. [PDF]
iScienceAnsary Ogholbake A, Cheng Q.
europepmc +1 more source
Convergence of End-to-End Training in Deep Unsupervised Contrasitive Learning. [PDF]
, 2020 Zixin Wen
openalex
Advanced Electronic Materials, EarlyView.This work proposed an unsupervised physics‐informed deep learning method of generating space‐time‐coding metasurface coding patterns for arbitrary single‐ and dual‐beam requirements at each harmonic. This method is specially designed for the coding pattern design task of multi‐bit scenario, and it can effectively handle the optimization trouble caused ...
Jiang Han Bao +6 more
wiley +1 more source
Unsupervised Learning-Based Anomaly Detection for Bridge Structural Health Monitoring: Identifying Deviations from Normal Structural Behaviour. [PDF]
Sensors (Basel)Nesackon Abraham J +5 more
europepmc +1 more source
Relating Events and Frames Based on Self-Supervised Learning and Uncorrelated Conditioning for Unsupervised Domain Adaptation [PDF]
Mohammad Rostami +2 more
openalex +1 more source
Handling DNA malfunctions by unsupervised machine learning model
, 2023 Mutaz Khazaaleh +6 more
openalex +1 more source
Unsupervised Learning by Probabilistic Latent Semantic Analysis
Machine-mediated learning, 2004 Thomas Hofmann
semanticscholar +1 more source