Smart sensors for process analytical technology. - Niall O' Mahony; Trevor Murphy; Krishna Panduru; Daniel Riordan; Joseph Walsh (AIM, 2016)

Machine learning algorithms for process analytical technology. - Niall O' Mahony; Trevor Murphy; Krishna Panduru; Daniel Riordan; Joseph Walsh (WCICSS, 2016)

Real-time monitoring of powder blend composition using near infrared spectroscopy. - Niall O' Mahony; Trevor Murphy; Krishna Panduru; Daniel Riordan; Joseph Walsh (ICST, 2017)

Condition Monitoring of an Autonomous Electric Drive Train by Using Machine Learning Methods. - Abdullah Caliskan; Conor O'Brien; Krishna Panduru; Joseph Walsh; Daniel Riordan (ICIEI, 2023)

An In-Depth Study of Vibration Sensors for Condition Monitoring. - Ietezaz Ul Hassan; Krishna Panduru; Joseph Walsh (Sensors, 2024)

Review of Data Processing Methods Used in Predictive Maintenance for Next Generation Heavy Machinery. - Ietezaz Ul Hassan; Krishna Panduru; Joseph Walsh (Data, 2024)

Non-destructive testing methods for condition monitoring: A review of techniques and tools. - Ietezaz Ul Hassan; Krishna Panduru; Joseph Walsh (ANT/EDI40, 2025)

Predictive Maintenance in Industry 4.0: A Review of Data Processing Methods. - Ietezaz Ul Hassan; Krishna Panduru; Joseph Walsh (ANT/EDI40, 2025)