Results 161 to 170 of about 416,590 (283)

Digitizing paper ECGs at scale: an open-source algorithm for clinical research. [PDF]

NPJ Digit Med
Stenhede E, Bjørnstad AM, Ranjbar A.
europepmc   +1 more source

In‐Sensor Computing by Soft Threshold Logic Gates Under Different Humidity Conditions

Advanced Electronic Materials, EarlyView.
Soft nanocomposite materials, based on gold cluster‐assembled thin films implanted in polydimethylsiloxane substrate, can perform reliable processing in ambient environmental conditions. Humidity influences the resistive switching and computational capabilities of the nanocomposites, that can be used as multifunctional material combining sensing ...
Giacomo Nadalini, Paolo Milani, Francesca Borghi   +2 more
wiley   +1 more source

Outdoor Motion Capture at Scale. [PDF]

Sensors (Basel)
Zwölfer M, Mössner M, Rhodin H, Nachbauer W.   +3 more
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Can SMEs synergistic transformation of digitization and greenization promote enterprise risk-taking? [PDF]

PLoS One
Wang J, Cui J.
europepmc   +1 more source

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

A digitization workflow of dry-pinned collections of Lepidoptera. [PDF]

Zookeys
Kaminsky L, Huber S, Deuel T, Tran NV, Howard EJ, Leopold A, Priyadarshini A, Plotkin D, Kawahara AY.   +8 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Automated information extraction from plant specimen labels using OCR and large language models. [PDF]

Biodivers Data J
Wen J.
europepmc   +1 more source

BOM_vl WP2 Rapportering conferentie "Strategies for multimedia archives", 6 febr. 2009 [PDF]

, 2009
Moreels, Dries, Ooghe, Bart, Van Nieuwerburgh, Inge, Verreyke, Hélène   +3 more
core   +1 more source