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An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification

Advanced Intelligent Systems, EarlyView.
An attention‐assisted DenseNet201 framework was developed for the classification of eight microorganism classes from microscopic images. The proposed model improved classification performance and achieved an accuracy of 87.38%. Advances in microbiology and environmental health fundamentally depend on precise and timely microorganism identification ...
Yujie Li, Ailing Gao, Guoxu Liu, Chunlei Chen, Yonghui Zhang, Sunkyoung Kang, M. Khosravi   +6 more
wiley   +1 more source

Urban Water Leakage Detection System over Dark Fiber Networks Based on Distributed Acoustic Sensing and Sparse Autoencoders. [PDF]

Sensors (Basel)
Sharif V, Yao Y, Loayssa A, Sagues M.
europepmc   +1 more source

Unveiling Turbulence-Induced Stress Dynamics in Dented Pipe Using Acoustic Emission and Time-Frequency Analysis. [PDF]

Sensors (Basel)
Firdaus SM, Mohammad M, Othman AR, Mod Yunoh MF.   +3 more
europepmc   +1 more source

Advancing engineering research through context-aware and knowledge graph-based retrieval-augmented generation. [PDF]

Front Artif Intell
Ghosh S, Mittal G.
europepmc   +1 more source

Advances in Magnetic UAV Sensing: A Comparative Study of the MagNimbus and MagArrow Magnetometers. [PDF]

Sensors (Basel)
Accomando F, Barone A, Mercogliano F, Milano M, Vitale A, Castaldo R, Tizzani P.   +6 more
europepmc   +1 more source

Deep learning-driven protein binder design for crop improvement. [PDF]

aBIOTECH
Iqbal MS, Bahitwa R, Azam AA, Xu H, Wang H.   +4 more
europepmc   +1 more source

Analysis of static electricity risks in nonmetallic pipelines for hydrogen transportation. [PDF]

Sci Rep
Wang G, Shi J, Wang Z, Yao R.
europepmc   +1 more source

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Cyclic Ratcheting Resistance of Buried Pipelines

Offshore Technology Conference, 2017
Abstract Upheaval buckling (UHB) is a common issue for high pressure and high temperature (HPHT) pipelines. The out-of-straightness (OOS) of the buried pipelines combined with the high axial compressive forces induced by the extreme operating conditions causes the pipeline to move upwards till the downward soil resistance is sufficient ...
Thusyanthan, NI, Wang, J, Haigh, Stuart, Robert, DJ   +3 more
openaire   +1 more source

Hierarchical Controller for Autonomous Tracking of Buried Oil and Gas Pipelines and Geotagging of Buried Pipeline Structure

2019 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM), 2019
Oil, and gas pipeline network around the globe are highly complex and are exposed to extreme environmental conditions. Routine inspection and maintenance of these pipelines thus have high priority in the oil and gas operations. Pigging is one of the most promising internal pipeline inspection technique employed by the oil and gas industry, but the pre ...
Vidya Sudevan, Amit Shukla 0002, Hamad Karki   +2 more
openaire   +1 more source

Dynamics of buried pipelines

International Journal of Soil Dynamics and Earthquake Engineering, 1985
Abstract Estimation of peak stresses in buried pipelines due to ground shaking is studied in this paper. Particular attention has been focused on the analysis of the stiffnesses of springs replacing the surrounding ground. It is shown here that these stiffnesses are functions of the wavelengths and frequencies of the seismic disturbance.
P.M. O'Leary, S.K. Datta
openaire   +1 more source