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Krishna Kaushal Panduru
Krishna Kaushal Panduru
IMaR Research Centre
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Internet of Things: A review from ‘Farm to Fork’
R Nukala, K Panduru, A Shields, D Riordan, P Doody, J Walsh
2016 27th Irish signals and systems conference (ISSC), 1-6, 2016
1512016
Adaptive process control and sensor fusion for process analytical technology
N O'Mahony, T Murphy, K Panduru, D Riordan, J Walsh
2016 27th Irish Signals and Systems Conference (ISSC), 1-6, 2016
242016
Pharmaceutical manufacturing and the quality by design (QBD), process analytical technology (PAT) approach
T Murphy, N O'Mahony, K Panduru, D Riordan, J Walsh
2016 27th Irish Signals and Systems Conference (ISSC), 1-7, 2016
212016
Machine learning algorithms for process analytical technology
N O'Mahony, T Murphy, K Panduru, D Riordan, J Walsh
2016 World Congress on Industrial Control Systems Security (WCICSS), 1-7, 2016
162016
Real-time monitoring of powder blend composition using near infrared spectroscopy
N O'Mahony, T Murphy, K Panduru, D Riordan, J Walsh
2017 Eleventh International Conference on Sensing Technology (ICST), 1-6, 2017
112017
Improving controller performance in a powder blending process using predictive control
N O'Mahony, T Murphy, K Panduru, D Riordan, J Walsh
2017 28th Irish Signals and Systems Conference (ISSC), 1-6, 2017
92017
Acoustic and optical sensing configurations for bulk solids mass flow measurements
N O'Mahony, T Murphy, K Panduru, D Riordan, J Walsh
2016 10th International Conference on Sensing Technology (ICST), 1-6, 2016
92016
Smart sensors for process analytical technology
N O'Mahony, T Murphy, K Panduru, D Riordan, J Walsh
2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM …, 2016
62016
Fuzzy logic based intelligent energy monitoring and control for renewable energy
KK Panduru, D Riordan, J Walsh
IET Digital Library, 2014
42014
Fibre-optic sensors for Process Analytical Technology
NO Mahony, T Murphy, K Panduru, D Riordan, J Walsh
33rd International Manufacturing Conference (IMC33) 2016, 2016
32016
An In-Depth Study of Vibration Sensors for Condition Monitoring
IU Hassan, K Panduru, J Walsh
Sensors 24 (3), 740, 2024
22024
A review of machine learning algorithms for estimating critical quality attributes from multi-sensor data
N O’Mahony, T Murphy, K Panduru, D Riordan, J Walsh
International Journal of Sustainable Energy 5 (2), 2016
22016
FLCPlus: A Light-Weight Open-Source Library In C++ For Fuzzy Logic Controller
KK Panduru
Int. J. Comput. Sci. Commun 5 (1), 202-204, 2014
22014
An Efficient Siamese Network and Transfer Learning-Based Predictive Maintenance System for More Sustainable Manufacturing
A Caliskan, C O’Brien, K Panduru, J Walsh, D Riordan
Sustainability 15 (12), 9272, 2023
12023
Computational Fluid Dynamics, Rapid Prototyping and Design of Materials Sampling Processes for PAT
T Murphy, N O’Mahony, K Panduru, D Riordan, J Walsh
33rd International Manufacturing Conference (IMC33) 2016, 2016
12016
Pharmaceutical Manufacturing and Process Analytical Technology
T Murphy, N O’Mahony, K Panduru, D Riordan, J Walsh
Research Gate, 0
1
Condition Monitoring of an Autonomous Electric Drive Train by Using Machine Learning Methods
A Caliskan, C O'Brien, K Panduru, J Walsh, D Riordan
Proceedings of the 2023 8th International Conference on Information and …, 2023
2023
Development of a low-cost, hand-held, remote vacuum profile monitoring system
A Awasthi, K Panduru, A Awasthi, D Riordan, J Walsh
2017 28th Irish Signals and Systems Conference (ISSC), 1-5, 2017
2017
Inertia sensing for bulk solid measurement in process analytical technology systems
T Murphy, N O'Mahony, K Panduru, D Riordan, J Walsh
2016 10th International Conference on Sensing Technology (ICST), 1-6, 2016
2016
Scientific & review committee
J Walsh, K Panduru, P Doody, D Riordan, E Furey, D Picovici, E Jones, ...
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