Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen +8 more
wiley +1 more source
Urban Water Leakage Detection System over Dark Fiber Networks Based on Distributed Acoustic Sensing and Sparse Autoencoders. [PDF]
Sharif V, Yao Y, Loayssa A, Sagues M.
europepmc +1 more source
ABSTRACT Sustainable livestock manure management sits at the nexus of climate, nutrient circularity and water quality. This review explores how artificial intelligence (AI) and digital platforms are used across four management stages, that is, treatment, storage, valorisation and distribution, and figures out where integration fails to deliver ...
Zhan Shi +3 more
wiley +1 more source
The Use of Machine Learning to Enable Objective Assessment of Surgical Outcomes in Sagittal Craniosynostosis. [PDF]
Brulleman SIHM +8 more
europepmc +1 more source
Organizing across cognitive asymmetry in human–AI collaboration: A study of perfume creation
Abstract Research Summary As organizations increasingly adopt generative AI (GenAI), they face a strategic challenge: not only deciding which tasks AI should perform, but also how to organize the integration of human and AI efforts to produce viable solutions.
Tomoko Yokoi +3 more
wiley +1 more source
Enhanced confocal microscopy with physics-guided autoencoders via synthetic noise modeling. [PDF]
Ahmad Z +11 more
europepmc +1 more source
GatorST: A Versatile Contrastive Meta‐Learning Framework for Spatial Transcriptomic Data Analysis
GatorST learns spatially informed embeddings for spatial transcriptomics by coupling two‐hop subgraph graph convolutions with cluster‐aware pseudo‐label supervision and episodic contrastive meta‐learning. The framework captures neighbor‐level topology and tissue‐wide expression semantics without heavy augmentations, delivering robust representations ...
Zhenhao Zhang +5 more
wiley +1 more source
Rolling Bearing Fault Diagnosis Based on Multi-Source Domain Joint Structure Preservation Transfer with Autoencoder. [PDF]
Jiang Q +7 more
europepmc +1 more source
DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection
Anomaly detection under limited normal data remains a fundamental challenge due to severe class imbalance and scarcity of anomalies. We propose a novel framework that reformulates support vector selection in One‐Class SVM as a sequential decision‐making problem.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley +1 more source
Clinical Summaries of Social Media Timelines for Mental Health Monitoring: Human Versus Large Language Model Comparative Evaluation Study. [PDF]
Klein A +7 more
europepmc +1 more source

