Hjorth Parameters for Broken Rotor Bars Failures Characterization in Induction Motors

RD Barcenas-Peralta… - … Autumn Meeting on …, 2023 - ieeexplore.ieee.org
Fault detection and online condition monitoring of induction motors (IMs) play a critical role
in the industry. Regarding this matter, scientists worldwide have developed different …

Data-Driven Design for Anomaly Detection in Network Access Control Systems

MA Muhammad, F Caraffini… - … for Technology and …, 2023 - ieeexplore.ieee.org
Current network access control systems can contain unpredictable interactions between
multiple device models, multiple network protocol layers (eg TCP, UDP and ICMP) …

A novel data transformation approach for improved cluster performance

K Manohar, K Manohar, P Hosein - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
We compare the performance of a new feature scaling approach against conventional
feature scaling techniques for clustering. Our approach creates a more well-defined cluster …

[PDF][PDF] K-Means and Fuzzy based Hybrid Clustering Algorithm for WSN

BM Angadi, MS Kakkasageri - International Journal of Electronics …, 2023 - journals.pan.pl
Wireless Sensor Networks (WSN) acquired a lot of attention due to their widespread use in
monitoring hostile environments, critical surveillance and security applications. In these …

CLASTERIZATION OF LECTURER'S PROFILE IN ONLINE LEARNING DURING THE COVID-19 PANDEMIC

AM Polina, C Aprinastuti… - … (International Journal of …, 2023 - e-journal.usd.ac.id
The learning process changed from classroom to online learning during the COVID-19
pandemic. One of the things that must be done is to analyze the readiness of lecturers in …

Enhancing Vegetable Quality Prediction with Fuzzy Interference System

M Al-Rajab, M Asif, SH Chuhan… - … for Technology and …, 2023 - ieeexplore.ieee.org
We are living in this hurly burly world of Tumult and Turmoil where many problems arises
who have not any exact solution/answer like we have health and nutrition problems people …

Reviving autoencoder pretraining

Y Xie, N Thuerey - Neural Computing and Applications, 2023 - Springer
The pressing need for pretraining algorithms has been diminished by numerous advances
in terms of regularization, architectures, and optimizers. Despite this trend, we re-visit the …

Eating Behavior Analysis of Cruise Ship Passengers Based on K-means Clustering Algorithm

T Zhang, W Cai, M Hu, G Yang, W Fu - International Conference on Bio …, 2023 - Springer
In order to discover the real demand of cruise ship passengers and find the connection
between their demand and cruise ship space design, we conduct a questionnaire survey of …

Customer Market Analysis Based on Interval Value Data Dynamic Clustering Algorithm

Y Hu - … International Conference on Integrated Intelligence and …, 2023 - ieeexplore.ieee.org
The traditional K-means clustering center initial value algorithm does not perform well in
massive data. In order to improve the initialization efficiency of the clustering center, this …

Clustering of goods in the lustrorezea online shop

E Erlinda, F Haswan - Jurnal Teknik Informatika CIT …, 2023 - medikom.iocspublisher.org
Lustrorezea is an online shop that was founded in 2018 and has 150 regular customers.
This Lustrorezea online shop sells goods in the form of women's, men's, children's clothing …