Results 151 to 160 of about 29,061 (317)
Weakly Ill-posed Problems of Integral Geometry witch Perturbation on Polygonal Lines
A. Begmatov +2 more
openalex +1 more source
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
Sensing Through Tissues Using Diffuse Optical Imaging and Genetic Programming. [PDF]
Balasubramaniam GM, Hauptman A, Arnon S.
europepmc +1 more source
This study introduces an affordable machine learning platform for simultaneous dengue and zika detection using fluorine‐doped tin oxide thin films modified with gold nanoparticles and DNA aptamers. Designed for low‐cost, hardware‐limited devices (< $25), the model achieves 95.3% accuracy and uses only 9.4 kB of RAM, demonstrating viability for resource‐
Marina Ribeiro Batistuti Sawazaki +3 more
wiley +1 more source
A PINN-driven game-theoretic framework in limited data photoacoustic tomography. [PDF]
Roy S, Pal S.
europepmc +1 more source
Neural Operator Discovery for Ill-Posed Inverse Problems with Uncertainty Quantification
Revista, Zen, MATH, 10
openalex +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
Pre-Dog-Leg: A Feature Optimization Method for Visual Inertial SLAM Based on Adaptive Preconditions. [PDF]
Zhao J +6 more
europepmc +1 more source
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla +4 more
wiley +1 more source
Improvement of the density fitting approach for the Gaussian electrostatic model via the use of the discrete Picard condition in Tychonov regularization. [PDF]
Roy A, Cisneros GA.
europepmc +1 more source

