Ridwan A. Sanusi

According to our database, Ridwan A. Sanusi authored at least 12 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2025

Hybrid random projection technique for enhanced representation in high-dimensional data.

Yussif Yahaya, Jimoh Olawale Ajadi, Ridwan A. Sanusi, Zaid Sawlan, Nurudeen Adedayo Adegoke

Expert Syst. Appl., 2025

2024

Multivariate Technique for Detecting Variations in High-Dimensional Imagery.

Ridwan A. Sanusi, Jimoh Olawale Ajadi, Saddam Akber Abbasi, Taofik O. Dauda, Nurudeen Adedayo Adegoke

IEEE Access, 2024

2022

Monitoring multivariate coefficient of variation for high-dimensional processes.

Nurudeen Adedayo Adegoke, Abdaljbbar B. A. Dawod, Olatunde Adebayo Adeoti, Ridwan A. Sanusi, Saddam Akber Abbasi

Qual. Reliab. Eng. Int., 2022

2020

New efficient exponentially weighted moving average variability charts based on auxiliary information.

Saddam Akber Abbasi, Muhammad Riaz, Shabbir Ahmad, Ridwan A. Sanusi, Muhammad Abid

Qual. Reliab. Eng. Int., 2020

Simultaneous monitoring of magnitude and time-between-events data with a Max-EWMA control chart.

Ridwan A. Sanusi, Sin Yin Teh, Michael B. C. Khoo

Comput. Ind. Eng., 2020

2019

A combination of max-type and distance based schemes for simultaneous monitoring of time between events and event magnitudes.

Ridwan A. Sanusi, Amitava Mukherjee

Qual. Reliab. Eng. Int., 2019

A comparative study of some EWMA schemes for simultaneous monitoring of mean and variance of a Gaussian process.

Ridwan A. Sanusi, Amitava Mukherjee, Min Xie

Comput. Ind. Eng., 2019

Efficient Homogeneously Weighted Moving Average Chart for Monitoring Process Mean Using an Auxiliary Variable.

Nurudeen Adedayo Adegoke, Adam N. H. Smith, Marti J. Anderson, Ridwan A. Sanusi, Matthew D. M. Pawley

IEEE Access, 2019

2017

Using FIR to Improve CUSUM Charts for Monitoring Process Dispersion.

Ridwan A. Sanusi, Muhammad Riaz, Nasir Abbas, Mu'azu Ramat Abujiya

Qual. Reliab. Eng. Int., 2017

An EWMA monitoring scheme with a single auxiliary variable for industrial processes.

Ridwan A. Sanusi, Muhammad Riaz, Nurudeen Adedayo Adegoke, Min Xie

Comput. Ind. Eng., 2017

Combined Shewhart CUSUM charts using auxiliary variable.

Ridwan A. Sanusi, Mu'azu Ramat Abujiya, Muhammad Riaz, Nasir Abbas

Comput. Ind. Eng., 2017

EWMA-type scheme for monitoring location parameter using auxiliary information.

Nurudeen Adedayo Adegoke, Muhammad Riaz, Ridwan A. Sanusi, Adam N. H. Smith, Matthew D. M. Pawley

Comput. Ind. Eng., 2017