Results 221 to 230 of about 63,696 (324)
Distance functions for reproducing kernel Hilbert spaces [PDF]
Nicola Arcozzi +3 more
openalex +1 more source
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
Harnessing genomic prediction in Brassica napus through a nested association mapping population. [PDF]
Perumal S +16 more
europepmc +1 more source
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali +5 more
wiley +1 more source
EasyGeSe - a resource for benchmarking genomic prediction methods. [PDF]
Quesada-Traver C +3 more
europepmc +1 more source
Piezoelectric Origami Metamaterials for Enhanced Handwriting Recognition and Trajectory Tracking
This study introduces origami metamaterials inspired by Kresling piezoelectric generators to enhance biometric authentication and handwriting trajectory recognition. Overcoming sensor limitations in conventional devices, the design enables multichannel data acquisition with fewer sensors, utilizing machine learning to accurately identify content ...
Yinzhi Jin, Ting Tan, Zhimiao Yan
wiley +1 more source
Low density marker-based effectiveness and efficiency of early-generation genomic selection relative to phenotype-based selection in dolichos bean (Lablab purpureus L. Sweet). [PDF]
Kalpana MP +8 more
europepmc +1 more source
Advances in Organic In‐Sensor Neuromorphic Computing: from Material Mechanisms to Applications
This review discusses organic in‐sensor neuromorphic computing for wearable and bioelectronic systems, with a focus on memory‐based and OECT‐based synaptic devices. It highlights key design principles, recent advances, and existing challenges. By integrating sensing and processing within organic materials, the approach enables real‐time, low‐power, and
Dong Hyun Lee +3 more
wiley +1 more source
Combining dissimilarities in a Hyper Reproducing Kernel Hilbert Space for complex human cancer prediction. [PDF]
Martín-Merino M +2 more
europepmc +1 more source

