Synthetic Microbial Community Biosensors: From Engineered Ecosystems to Modular Detection Platforms with AI-Driven Intelligence. [PDF]
Hu L +7 more
europepmc +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Performance Evaluation of a Sandwich-Structured CNT/Graphene-TPU Nanofiber Strain Sensor for Wearable Deformation Monitoring. [PDF]
Su H, Cao S, Zhang X, Liu Z, Liu X.
europepmc +1 more source
Light-based 3D printing of mechanoluminescent living gels loaded with dinoflagellates. [PDF]
Boons R +7 more
europepmc +1 more source
Machine learning-assisted design of carbon nanotube edge computing circuits for monolithic epidermal systems. [PDF]
Luo Z +10 more
europepmc +1 more source
Resolving circumarctic zero-curtain phenomena with AI-integrated earth observations. [PDF]
Gay BA +5 more
europepmc +1 more source
Communication-efficient decentralized clustering for dynamical multi-agent systems. [PDF]
Erofeeva V +3 more
europepmc +1 more source
Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI-Enabled Smart Textiles. [PDF]
Trung VD +9 more
europepmc +1 more source
Compressed Sensing for Distributed Systems
This book presents a survey of the state-of-the art in the exciting and timely topic of compressed sensing for distributed systems. It has to be noted that, while compressed sensing has been studied for some time now, its distributed applications are relatively new.
Enrico Magli
exaly +5 more sources

