Results 121 to 130 of about 716,336 (263)
Molecular Cross‐Linking of MXenes: Tunable Interfaces and Chemiresistive Sensing
In this study, Ti3C2Tx MXenes are initially functionalized using oleylamine ligands to form stable dispersions in an organic solvent. Subsequently ligand exchange with α,ω‐diaminoalkanes enables cross‐linking, along with precise tuning of interfaces. This structural control translates into tunable charge transport and responsive VOC sensing, showing ...
Yudhajit Bhattacharjee +12 more
wiley +1 more source
Building a Controlled Natural Language Framework for Real-time Machine Translation
Sebastián León Calderón
openalex +2 more sources
Exploring Cross-Lingual Transfer Learning with Unsupervised Machine Translation [PDF]
Chao Wang +3 more
openalex +1 more source
Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha +18 more
wiley +1 more source
Efforts to automate translation were made in the 1950s and 1960s, albeit with limited resources compared to current advanced standards. Machine translation is categorised under computational linguistics that examines employing computer software in the ...
Rafat Y. Alwazna
doaj +1 more source
Marian: Cost-effective High-Quality Neural Machine Translation in C++ [PDF]
Marcin Junczys-Dowmunt +4 more
openalex +1 more source
Integrative Approaches for DNA Sequence‐Controlled Functional Materials
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo +4 more
wiley +1 more source
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Translating Machine Learning Interpretability into Clinical Insights for ICU Mortality Prediction [PDF]
Ling Liao, Eva Aagaard
openalex +1 more source

