Results 161 to 170 of about 52,077 (195)

The principles behind equivariant neural networks for physics and chemistry. [PDF]

Proc Natl Acad Sci U S A
Kondor R.
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

A Two-Level Clustered Consensus-Based Bundle Algorithm for Dynamic Heterogeneous Multi-UAV Multi-Task Allocation. [PDF]

Sensors (Basel)
Wang Y, Wang C, Ren S.
europepmc   +1 more source

Surface hydration‐induced damage in tight oil‐bearing sandy conglomerate reservoirs

Deep Underground Science and Engineering, EarlyView.
A series of techniques such as X‐ray diffraction, scanning electron microscopy, energy‐dispersive spectroscopy, conductivity tests, and infrared thermal imaging were used. The key findings are the identification of a two‐stage surface hydration process and the elucidation of the effects of various minerals and elements on the hydration process ...
Anbang Zhao, Shuheng Du, Yuan Zhang, Jinghong Hu, Bo Zhou, Yun Wei   +5 more
wiley   +1 more source

Novel representation of complexity of investment casting using injective coloring and graph adaptive consensus mechanism. [PDF]

Sci Rep
Mobarsa D, Shukla M, Maheta N, Sata A, Jarboui S.   +4 more
europepmc   +1 more source

Gaborlet‐guided sparse filtering: A novel intelligent method for lithology identification by vibration signals while drilling

Deep Underground Science and Engineering, EarlyView.
The flowchart illustrates rock specimen testing, vibration signal acquisition, and feature extraction with Gaborlet and sparse filtering for classification. Abstract Traditional lithology identification methods mainly rely on core sampling and well‐logging data.
Jian Hao, Danqi Zhang, Zhenqi Song, Jinrui Wang, Qi Wang, Heqing Liu   +5 more
wiley   +1 more source

UAVRM-A*: A Complex Network and 3D Radio Map-Based Algorithm for Optimizing Cellular-Connected UAV Path Planning. [PDF]

Sensors (Basel)
Chai Y, Wang Y, Yang X, Im SK, He Q.
europepmc   +1 more source

FedHGPrompt: Privacy-Preserving Federated Prompt Learning for Few-Shot Heterogeneous Graph Learning. [PDF]

Entropy (Basel)
Wu X, Shi J, Zhang X.
europepmc   +1 more source

Visibility graph analysis for educational data: potentials and a case study of predicting at-risk online students. [PDF]

Sci Rep
Azizi H, Amini MS, Sulaimany S, Mafakheri A.   +3 more
europepmc   +1 more source