Results 181 to 190 of about 146,226 (335)

A perspective review of applications of the computed tomography (CT) scan imaging technique for microscopic reservoir rock characterization

Deep Underground Science and Engineering, EarlyView.
In this review, the application of micro‐CT and medical‐CT scanning in the oil and gas industry has been thoroughly discussed. Recent improvements in DRP and modern imaging techniques in the oil and gas industry have been modeled using both experimental and simulation work.
Achinta Bera, Bharadwaj Shukla, Dhruvikkumar Jogani   +2 more
wiley   +1 more source

Enhancing security in electromagnetic radiation therapy using fuzzy graph theory. [PDF]

Sci Rep
Lal R, Singh RK, Nishad DK, Khalid S.
europepmc   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source

Consensus stability among composite decision makers in the framework of hesitant fuzzy graph model with application to doctor-patient disputes. [PDF]

Sci Rep
Zhang T, Wang D, Xu Y.
europepmc   +1 more source

A review on rockburst prediction and prevention to shape an ontology‐based framework for better decision‐making for underground excavations

Deep Underground Science and Engineering, EarlyView.
A scientometric analysis of 2449 journal articles and a comprehensive review of 336 papers were conducted, discussing and identifying challenges and research gaps in rockburst prediction and prevention and proposing an ontology‐based framework for better decision‐making in underground excavations. Abstract With underground engineering projects becoming
Hongchuan Yan, Haijiang Li, Hongqiang Xie, Mingli Xiao, Jianliang Pei, Huaizhong Liu, Jiangda He   +6 more
wiley   +1 more source

Shock wave propagation characteristics of aluminum‐containing explosive in corrugated steel‐lined tunnel

Deep Underground Science and Engineering, EarlyView.
Aluminum‐enhanced afterburning renders AE explosives more hazardous than conventional ones. Corrugated steel linings reduce far‐field AE blast overpressure by ~50% through wave reflection and dissipation. The developed model accurately predicts peak pressure (<10% error) and arrival time (<3% error), supporting protective design.
Zhen Wang, Jiayu Peng, Hujun Li, Yuguo Ji, Shuobiao Li, Guokai Zhang   +5 more
wiley   +1 more source

Pseudo Lattice Graphs and their Applications to Fuzzy and Neutrosophic Models

, 2014
Florentín Smarandache, W. B. Vasantha Kandasamy, K. Ilanthenral   +2 more
openalex   +1 more source

0032 | Metric Dimension in fuzzy(neutrosophic) Graphs #11

, 2022
Henry Garrett
openalex   +1 more source

Thermodynamic Mechanisms of Co‐S Bond Anchoring in Few‐Layered 1T‐MoS2 for Enhanced Capacitive Performance via Spin State Regulation and Ion Diffusion Kinetics

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
The one‐pot hydrothermal prep of Co‐doped few‐layer 1T‐MoS2 shows Co‐S bonds stabilizing the 1T phase, enhancing supercapacitor performance. Few‐layered 1T‐MoS2 is highly promising for supercapacitor applications due to its wide interlayer spacing, high electrical conductivity, and abundant active sites.
Qingling Jia, Han Li, Shun Lu, Chuanyin Xiong, Yongxing Zhang   +4 more
wiley   +1 more source

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

Epilepsia Open, EarlyView.
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus, Cesar Santana‐Gomez, Ruby G. Escalante, Dominique Duncan, Pedro F. Viana, Giulia Sofia Cereda, Naoto Kuroda, Aristea S. Galanopoulou   +7 more
wiley   +1 more source