Results 171 to 180 of about 183,434 (340)
Advanced Intelligent Discovery, EarlyView.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
Some Extended Results on the Design of Punctured Serially Concatenated Convolutional Codes
, 2017 Massimiliano Laddomada, B. Scanavino
openalex +1 more source
Advanced Intelligent Discovery, EarlyView.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
Tensor Completion via Few-shot Convolutional Sparse Coding.
, 2020 Zhebin Wu +3 more
openalex +1 more source
Automatic Determination of Quasicrystalline Patterns from Microscopy Images
Advanced Intelligent Discovery, EarlyView.This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender +2 more
wiley +1 more source
Trade-offs in model compression for sequencing data-carrying DNA. [PDF]
Sci RepQuah J, Sella O, Heinis T.
europepmc +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
Advanced Intelligent Discovery, EarlyView.This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Research on Decoding Algorithm for（n, 1, m） Convolutional Code [PDF]
, 2016 Yamei Zou, Hongqiao Pu, Zhiqiang Xu
openalex +1 more source
Identifying co-occurrences of message chains and member ignoring method in android applications using static program analysis and dynamic stacking ensemble. [PDF]
Sci RepMa Z, Bian Y, Chen W, Huang L.
europepmc +1 more source