Results 221 to 230 of about 11,231,484 (245)

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Biomedical imaging. [PDF]

Fundam Res
Tian C.
europepmc   +1 more source

Engineering Microbial Particles for Next‐Generation Biomedical Platforms

Advanced Science, EarlyView.
Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li, Yunjie Lu, Ziyan Huang, Jianjiang Chen, Yanbin Liu, Lei Qin, Chao Wang, Yumin Wu   +7 more
wiley   +1 more source

AI-driven pilot platforms and computational pharmaceutics: accelerating innovation in small molecule drug development under industry 4.0 and 5.0 paradigms. [PDF]

Front Pharmacol
Luo K, Yang Y, Chachar S, Zhong C, Chen M, Xiong J, He L, Liu D, Baloch SK, Elshoura I, Chachar Z, Cai Y, Huang F.   +12 more
europepmc   +1 more source

Towards theoretical foundation for high-precision fringe projection profilometry system design and optimization. [PDF]

Light Sci Appl
Zhang S.
europepmc   +1 more source

From traditional musicians to digital musicians: a study on talent transformation in the music industries driven by AI technology. [PDF]

Front Sociol
Wang W.
europepmc   +1 more source

Top 10 ground challenges in microsystems and nanoengineering. [PDF]

Microsyst Nanoeng
Microsystems & Nanoengineering.
europepmc   +1 more source

Decoding Multidimensional Machining Loads: iKIT Wireless Extrasensory Toolholder and Parametric Analysis in Aluminum Cutting. [PDF]

Sensors (Basel)
Qiao Q, Guo D, Kwok CT, Tam LM.
europepmc   +1 more source

Intelligent Process Automation: An Application in Manufacturing Industry

Sustainability, 2022
Background: The intelligent processes automation has been cataloged as one of the most potential and strategic technology solutions to develop a corporate digital transformation.
Jovani A Jiménez-Builes, John W Branch-Bedoya, Daniel Burgos   +2 more
exaly   +2 more sources

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From Robotic Process Automation to Intelligent Process Automation

Lecture Notes in Business Information Processing, 2020
Vatché Isahagian, Tathagata Chakraborti, Yara Rizk   +2 more
exaly