Advancing Self-Supervised Learning for Building Change Detection and Damage Assessment: Unified Denoising Autoencoder and Contrastive Learning Framework [PDF]
Songxi Yang +4 more
openalex +1 more source
A Comparative Study on Signal Decomposition Techniques for Stimulated Raman Photoacoustic Microscopy
Comparison of sO2 maps generated using signal decomposition methods. ABSTRACT In this paper, we present a comparative study of signal decomposition techniques in multispectral photoacoustic microscopy (MS‐PAM) systems that are based on the use of stimulated Raman spectroscopy (SRS).
Amir Khansari +5 more
wiley +1 more source
Predictive modeling of stem cell suppression by inflammatory cytokine networks: A synthetic transcriptomic approach for periodontal tissue engineering. [PDF]
Arumuganainar D, Yadalam PK.
europepmc +1 more source
Improved semi-supervised autoencoder for deception detection [PDF]
Hongliang Fu +4 more
openalex +1 more source
Deep Learning Integration in Optical Microscopy: Advancements and Applications
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari +5 more
wiley +1 more source
Robust missing data reconstruction in schizophrenia using tracking-removed autoencoder with fuzzy confidence integration. [PDF]
Mateen M, Fatima U.
europepmc +1 more source
Abstract Kinase inhibitors are essential in targeted cancer therapy, yet resistance often emerges through secondary mutations, activation of compensatory signaling pathways, or drug‐efflux mechanisms. Artificial intelligence (AI) provides a workflow‐based strategy rather than a list of unrelated tools for predicting and addressing kinase‐inhibitor ...
Faris Hassan +3 more
wiley +1 more source
HIPER-CHAD: Hybrid Integrated Prediction-Error Reconstruction-Based Anomaly Detection for Multivariate Indoor Environmental Time-Series Data. [PDF]
Widartha VP, Kim CS.
europepmc +1 more source

