Results 231 to 240 of about 3,904,649 (388)

A Semi Empirical Regression Model for Critical Dent Depth of Externally Corroded X65 Gas Pipeline. [PDF]

Materials (Basel), 2022
Yang Y, Liu X, Yang H, Fang W, Chen P, Li R, Gao H, Zhang H.   +7 more
europepmc   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

Numerical Simulation of Hydrogen Mixing Process in T-Junction Natural Gas Pipeline. [PDF]

Materials (Basel)
Tian Y, Tian T, Ren G, Zhang J.
europepmc   +1 more source

Identification of the Fracture Process in Gas Pipeline Steel Based on the Analysis of AE Signals. [PDF]

Materials (Basel), 2022
Świt G, Dzioba I, Adamczak-Bugno A, Krampikowska A.   +3 more
europepmc   +1 more source

Expert system for assessment of strain state on gas pipelines: design and numerical validation3

, 2010
Wilmer Alexis Sandoval Cáceres
openalex   +1 more source

A Domain-Specific Lexicon for Improving Emergency Management in Gas Pipeline Networks through Knowledge Fusing

Xinghao Zhao, Yanzhu Hu, Tingxin Qin, Wang Wan, Yudi Wang   +4 more
openalex   +1 more source

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

Advanced Intelligent Systems, EarlyView.
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, Liuchao Jin, Qi Ge, Wei‐Hsin Liao, Andrés Díaz Lantada, Francisco Franco Martínez, Tianyu Zhang, Tao Liu, Charlie C. L. Wang, Mohammad Hossein Mosallanejad, Reza Ghanavati, Abdollah Saboori, Alejandro De Blas De Miguel, William Solórzano‐Requejo, Yi Cai, Xiangyang Dong, Huangyi Qu, Najmeh Samadiani, Guangyan Huang, Austin Downey, Yanzhou Fu, Lang Yuan, Tsz‐Kwan (Glory) Lee, Arbind Agrahari Baniya, Eisha Waseem, Abdul Rahman Sani, Abbas Z. Kouzani, Yijia Wu, Markus P. Nemitz, Masoud Shirzad, Dageon Oh, Seung Yun Nam, Amedeo Franco Bonatti, Irene Chiesa, Gabriele Maria Fortunato, Giovanni Vozzi, Carmelo De Maria, Mahdi Bodaghi   +37 more
wiley   +1 more source

Data-Driven Flow Control for Natural Gas Pipeline Networks: Optimizing via Anomaly Detection and Residual Weight Coefficients. [PDF]

ACS Omega
Chen W, Bian R, Xu F, Yao B.
europepmc   +1 more source

Conceptual threat vulnerability assessment and risk for removal phenomena mass the right track gas pipeline from gibraltar-Bucaramanga pk60 +000 - pk 118 +000

, 2014
John Harry Forero Gaona
openalex   +1 more source

Biomarker‐Agnostic Detection of Ovarian Cancer from Blood Plasma Using a Machine Learning‐Driven Electronic Nose

Advanced Intelligent Systems, EarlyView.
This study introduces a biomarker‐agnostic diagnostic strategy for ovarian cancer, utilizing a machine learning‐enhanced electronic nose to analyze volatile organic compound signatures from blood plasma. By overcoming the dependence on specific biomarkers, this approach enables accurate detection, staging, and cancer type differentiation, offering a ...
Ivan Shtepliuk, Lingyin Meng, Christer Borgfeldt, Jens Eriksson, Donatella Puglisi   +4 more
wiley   +1 more source