Results 201 to 210 of about 546,292 (293)

Stress analysis of crack characteristic of anthracite under dynamic loading

Deep Underground Science and Engineering, EarlyView.
In this article, the dynamic compression test of anthracite under five strain rates is carried out, the evolution law of three kinds of crack characteristic stress is analyzed, and a prediction model of the crack characteristic stress threshold considering the strain rate effect is established. Then, the rationality of crack characteristic stress under
Yun Bai, Feng Gao, Ning Luo, Zhizhen Zhang, Yue Niu, Shanjie Su   +5 more
wiley   +1 more source

Editorial: Machine learning for cybersecurity. [PDF]

Front Artif Intell
Wickramasinghe Brahmana CS, Marino D, De Silva D, Manic M.   +3 more
europepmc   +1 more source

Characterization of the permeability evolution of hard and soft rocks under hydro‐mechanical coupling conditions

Deep Underground Science and Engineering, EarlyView.
The permeability variation of rocks during complete stress–strain processes was investigated. A mathematical model describing the influence of rock damage on permeability was constructed. The permeability–stress relationship between soft rock and hard rock was proposed.
Zhen Huang, Jian Yu, Yun Wu, Cong Gong, Xiaozhao Li, Kui Zhao, Dickson Moyo   +6 more
wiley   +1 more source

Integrating AI in security information and event management for real time cyber defense. [PDF]

Sci Rep
Khan S, Dilshad N, Ahmad N, Noor S, AlQahtani SA.   +4 more
europepmc   +1 more source

Probability prediction of true‐triaxial compressive strength of intact rocks based on the improved PSO‐RVM model

Deep Underground Science and Engineering, EarlyView.
In this work, we propose an improved particle swarm optimization (PSO) algorithm and develop an improved PSO‐relevance vector machine (RVM) model as a substitute for traditional true‐triaxial testing. The model's high prediction accuracy was validated through comparisons with two other machine learning methods and five three‐dimensional Hoek–Brown type
Qi Zhang, Maohui Wang, Ning Wang, Yixin Shen, Xuzhen He   +4 more
wiley   +1 more source

Responsibility and transparency of artificial intelligence use in scientific writing: Is unfavorable use already invading? [PDF]

J Family Med Prim Care
Matsubara S.
europepmc   +1 more source

Real‐time monitoring of tunnel structures using digital twin and artificial intelligence: A short overview

Deep Underground Science and Engineering, EarlyView.
How artificial intelligence (AI) and digital twin (DT) technologies are revolutionizing tunnel surveillance, offering proactive maintenance strategies and enhanced safety protocols. It explores AI's analytical power and DT's virtual replicas of infrastructure, emphasizing their role in optimizing maintenance and safety in tunnel management.
Mohammad Afrazi, Danial Jahed Armaghani, Hossein Afrazi, Hadi Fattahi, Pijush Samui   +4 more
wiley   +1 more source

Threat intelligence community v3

This contains the final release of the PROTECTIVE XChange. It provides the second version of TI Trust and TI Admin. It consists of software artefacts.
openaire   +1 more source

The HARIKARI Club: German Prisoners of War and the Mass Escape Scare of 1944-45 at Internment Camp Grande Ligne, Quebec [PDF]

, 2015
Martin Auger
core   +1 more source

Multiple injection techniques to stimulate complex fracture networks in coal reservoirs: A case study on gas disaster reduction of subsurface coal mine in southwest China

Deep Underground Science and Engineering, EarlyView.
An experimental device for physical simulation of hydraulic fracturing, comprising: a load‐bearing mechanism with multiple interconnected plates that collectively form an sample chamber; a load‐generating mechanisms, with multiple load‐generating mechanisms arranged within the experimental chamber.
Delei Shang, Farui Shi, Jun Lu, Minghui Li, Cunbao Li, Heping Xie   +5 more
wiley   +1 more source