Results 161 to 170 of about 726,143 (311)
Deep learning‐based denoising models are applied to DNA data storage systems to enhance error reduction and data fidelity. By integrating DnCNN with DNA sequence encoding methods, the study demonstrates significant improvements in image quality and correction of substitution errors, revealing a promising path toward robust and efficient DNA‐based ...
Seongjun Seo +5 more
wiley +1 more source
A hybrid approach to large-scale systematic literature reviews: combining automated tools with text-mining techniques. [PDF]
Koh ZH, Zarnegar A, Skues J, Murray G.
europepmc +1 more source
Text Mining et annotation sémantique pour l’Information Scientifique
Agnès Ricroch +3 more
openalex +1 more source
Autismus-Spektrum-Störung & Text Mining. Darstellung der Autismus-Spektrum-Störung in Schulratgebern
Cinzia Troller
openalex +1 more source
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan +8 more
wiley +1 more source
Knowledge of Acquired Immune Deficiency Syndrome (AIDS) and Syphilis Among Education Faculty Students: A Text Mining Analysis. [PDF]
Okai C +9 more
europepmc +1 more source
Related Stocks Selection with Data Collaboration Using Text Mining [PDF]
Masanori Hirano +6 more
openalex +1 more source
Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto +3 more
wiley +1 more source
ANALISIS SENTIMEN PANDEMI COVID19 PADA STREAMING TWITTER DENGAN TEXT MINING PYTHON [PDF]
Anni Karimatul Fauziyyah
openalex +1 more source
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley +1 more source

