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A CFD- RSM study of cuttings transport in non-Newtonian drilling fluids: Impact of operational parameters
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Elsevier B.V.
, 2022 , Article)
Cuttings removal out of the wellbore represents a real barrier for successful drilling operations. The performance of hole cleaning is determined by several factors. The current article provides a theoretical study of the ...
Enhancing the flocculation of stable bentonite suspension using hybrid system of polyelectrolytes and NADES
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Elsevier B.V.
, 2022 , Article)
In this study, the influence of a hybrid coagulation/flocculation process on the electrokinetic of highly stable bentonite suspension has been examined. Choline chloride (ChCl) based natural deep eutectic solvent (NADES) ...
Performance of THz Communications Over Cascaded RISs: A Practical Solution to the Over-Determined Formulation
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
As a last resort for radio frequency communication, Terahertz bands (0.1-10 THz) are targeted thanks to their ability to provide ultra-wide bandwidth satisfying varieties of emerging applications. However, the waves ...
Robust R-Peak Detection in Low-Quality Holter ECGs Using 1D Convolutional Neural Network
(
IEEE Computer Society
, 2022 , Article)
Objective: Noise and low quality of ECG signals acquired from Holter or wearable devices deteriorate the accuracy and robustness of R-peak detection algorithms. This paper presents a generic and robust system for R-peak ...
3D Quantum Cuts for automatic segmentation of porous media in tomography images
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Elsevier Ltd
, 2022 , Article)
Binary segmentation of volumetric images of porous media is a crucial step towards gaining a deeper understanding of the factors governing biogeochemical processes at minute scales. Contemporary work primarily revolves ...
An Overview of Deep Learning Methods Used in Vibration-Based Damage Detection in Civil Engineering
(
Springer
, 2022 , Conference Paper)
This paper presents a brief overview of vibration-based damage identification studies based on Deep Learning (DL) in civil engineering structures. The presence, type, size, and propagation of structural damage on civil ...
A Social Distance Estimation and Crowd Monitoring System for Surveillance Cameras
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MDPI
, 2022 , Article)
Social distancing is crucial to restrain the spread of diseases such as COVID-19, but complete adherence to safety guidelines is not guaranteed. Monitoring social distancing through mass surveillance is paramount to develop ...
Robust biometric system using session invariant multimodal EEG and keystroke dynamics by the ensemble of self-ONNs
(
Elsevier Ltd
, 2022 , Article)
Harnessing the inherent anti-spoofing quality from electroencephalogram (EEG) signals has become a potential field of research in recent years. Although several studies have been conducted, still there are some vital ...
A New Benchmark Problem for Structural Damage Detection: Bolt Loosening Tests on a Large-Scale Laboratory Structure
(
Springer
, 2022 , Conference Paper)
Monitoring the structural performance of engineering structures has always been pertinent for maintaining structural health and assessing the life cycle of structures. Structural Health Monitoring (SHM) and Structural ...
One-Dimensional Convolutional Neural Networks for Real-Time Damage Detection of Rotating Machinery
(
Springer
, 2022 , Conference Paper)
This paper presents a novel real-time rotating machinery damage monitoring system. The system detects, quantifies, and localizes damage in ball bearings in a fast and accurate way using one-dimensional convolutional neural ...