Multi-cavitation states diagnosis of the vortex pump using a combined DT-CWT-VMD and BO-LW-KNN based on motor current signals
W Zeng, P Zhou, Y Wu, D Wu, M Xu - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Vortex pumps play a crucial role in industrial and municipal settings by transferring high-
viscosity and particle-laden fluids. However, their performance and reliability are …
viscosity and particle-laden fluids. However, their performance and reliability are …
An intelligent healthcare monitoring system-based novel deep learning approach for detecting covid-19 from x-rays images
S AlZu'bi, A Zreiqat, W Radi, A Mughaid… - Multimedia Tools and …, 2024 - Springer
This paper aims to address the detection of COVID-19 by develo** an accurate and
efficient diagnostic system using chest X-ray images. The research utilizes open-source …
efficient diagnostic system using chest X-ray images. The research utilizes open-source …
Deep-learning-based decomposition of overlap**-sparse images: application at the vertex of simulated neutrino interactions
S Alonso-Monsalve, D Sgalaberna, X Zhao… - Communications …, 2024 - nature.com
Image decomposition plays a crucial role in various computer vision tasks, enabling the
analysis and manipulation of visual content at a fundamental level. Overlap** and sparse …
analysis and manipulation of visual content at a fundamental level. Overlap** and sparse …
SICGNN: structurally informed convolutional graph neural networks for protein classification
Recently, graph neural networks (GNNs) have been widely used in various domains,
including social networks, recommender systems, protein classification, molecular property …
including social networks, recommender systems, protein classification, molecular property …
Modified Masking-Based Federated Singular Value Decomposition Method for Fast Anomaly Detection in Smart Grid Systems
Z Yiming, X Fang, O Hordiichuk-Bublivska, H Beshley… - Energies, 2023 - mdpi.com
The digitalization of production in smart grids entails challenges related to data collection,
coordination, privacy protection, and anomaly detection. Machine learning techniques offer …
coordination, privacy protection, and anomaly detection. Machine learning techniques offer …
Analysis of the scientific publication of Libyan State: A bibliometric review
This paper provides a detailed bibliometric analysis of the Libyan State's scientific
publications (Libya). The study is based on data from the well-known Scopus database. The …
publications (Libya). The study is based on data from the well-known Scopus database. The …
[HTML][HTML] scIALM: A method for sparse scRNA-seq expression matrix imputation using the Inexact Augmented Lagrange Multiplier with low error
X Liu, H Wang, J Gao - Computational and Structural Biotechnology Journal, 2024 - Elsevier
Single-cell RNA sequencing (scRNA-seq) is a high-throughput sequencing technology that
quantifies gene expression profiles of specific cell populations at the single-cell level …
quantifies gene expression profiles of specific cell populations at the single-cell level …
[PDF][PDF] Dimensionality and data size reduction using singular value decomposition
B Kim - Issues in Information Systems, 2024 - iacis.org
This paper discusses how to use SVD (Singular Value Decomposition) to reduce the data
size as a preprocessing method before applying machine learning algorithms. Data …
size as a preprocessing method before applying machine learning algorithms. Data …
Implication of Mathematics in Data Science Technology Disciplines
G Singh, S Pathak, J Singh… - 2022 IEEE Conference on …, 2022 - ieeexplore.ieee.org
Mathematics has gained greater significance in the field of data science technology, which
incorporates various disciplines-for example, data engineering, data preparation, data …
incorporates various disciplines-for example, data engineering, data preparation, data …