Results 181 to 190 of about 77,551 (274)
NeuroQ: Quantum-Inspired Brain Emulation. [PDF]
Vallverdú J, Rius G.
europepmc +1 more source
Trade Realignments and the Need for Integrated Modeling Research in Latin America's Agri‐Food Sector
Agribusiness, EarlyView.
Emiliano Lopez Barrera
wiley +1 more source
This study proposes a robust, generalizable new approach for facial type diagnosis. Based on landmark detection and pose normalization, a 94.7% diagnostic accuracy is achieved by Combined Heatmap Regression and Coordinate Regression network. This research makes the AI‐generated preliminary diagnosis more interpretable and reducing the impact of ...
Qianyang Xie +12 more
wiley +1 more source
Large-scale quantum communication networks with integrated photonics. [PDF]
Zheng Y +23 more
europepmc +1 more source
Crater Observing Bioinspired Rolling Articulator (COBRA)
Crater Observing Bio‐inspired Rolling Articulator (COBRA) is a modular, snake‐inspired robot that addresses the mobility challenges of extraterrestrial exploration sites such as Shackleton Crater. Incorporating snake‐like gaits and tumbling locomotion, COBRA navigates both uneven surfaces and steep crater walls.
Adarsh Salagame +4 more
wiley +1 more source
Configurational Field Analysis: a new approach to global field dynamics. [PDF]
Jong A.
europepmc +1 more source
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
Ultrafast dynamic stark shift of an exciton-polariton condensate. [PDF]
Feldman S +7 more
europepmc +1 more source
Algebraic semantics for predicate logics and their completeness(Non-Classical Logics and Their Kripke Semantics) [PDF]
Ono, Hiroakira
core
Illustration of text data mining of rare earth mineral thermodynamic parameters with the large language model‐powered LMExt. A dataset is built with mined thermodynamic properties. Subsequently, a machine learning model is trained to predict formation enthalpy from the dataset.
Juejing Liu +6 more
wiley +1 more source

