Prediction Interval Identification Using Interval Type-2 Fuzzy Logic Systems: Lake Water Level Prediction Using Remote Sensing Data

Khanesar, M. A.; Branson, David T.

doi:10.1109/JSEN.2021.3067841

All Outputs (4)

Unsupervised Learning for Product Use Activity Recognition: An Exploratory Study of a “Chatty Device” (2021)
Journal Article
Lakoju, M., Ajienka, N., Khanesar, M. A., Burnap, P., & Branson, D. T. (2021). Unsupervised Learning for Product Use Activity Recognition: An Exploratory Study of a “Chatty Device”. Sensors, 21(15), Article 4991. https://doi.org/10.3390/s21154991

To create products that are better fit for purpose, manufacturers require new methods for gaining insights into product experience in the wild at scale. “Chatty Factories” is a concept that explores the transformative potential of placing IoT-enabled... Read More about Unsupervised Learning for Product Use Activity Recognition: An Exploratory Study of a “Chatty Device”.

A Structured Approach for Synchronising the Applications of Failure Mode and Effects Analysis (2021)
Journal Article
Alruqi, M., Baumers, M., Branson, D., & Farndon, R. (2021). A Structured Approach for Synchronising the Applications of Failure Mode and Effects Analysis. Management Systems in Production Engineering, 29(3), 165-177. https://doi.org/10.2478/mspe-2021-0021

Failure Mode and Effects Analysis (FMEA) is a systematic approach for evaluating the potential failure modes in a system, and is mainly employed in three distinct tasks labelled: (1) Functional FMEA – evaluating those failures associated with product... Read More about A Structured Approach for Synchronising the Applications of Failure Mode and Effects Analysis.

Electrical Load Prediction using Interval Type-2 Atanassov Intuitionist Fuzzy System: Gravitational Search Algorithm Tuning approach (2021)
Journal Article
Khanesar, M. A., Lu, J., Smith, T., & Branson, D. (2021). Electrical Load Prediction using Interval Type-2 Atanassov Intuitionist Fuzzy System: Gravitational Search Algorithm Tuning approach. Energies, 14(12), 1-18. https://doi.org/10.3390/en14123591

Establishing accurate electrical load prediction is vital for pricing and power system management. However, the unpredictable behavior of private and industrial users results in uncertainty in these power systems. Furthermore, the utilization of rene... Read More about Electrical Load Prediction using Interval Type-2 Atanassov Intuitionist Fuzzy System: Gravitational Search Algorithm Tuning approach.

Prediction Interval Identification Using Interval Type-2 Fuzzy Logic Systems: Lake Water Level Prediction Using Remote Sensing Data (2021)
Journal Article
Khanesar, M. A., & Branson, D. T. (2021). Prediction Interval Identification Using Interval Type-2 Fuzzy Logic Systems: Lake Water Level Prediction Using Remote Sensing Data. IEEE Sensors Journal, 21(12), 13815-13827. https://doi.org/10.1109/JSEN.2021.3067841

This paper presents a novel approach to identify the prediction interval associated with data using interval type-2 fuzzy logic systems with support vector regression. For such a purpose, a constrained quadratic objective function is defined which is... Read More about Prediction Interval Identification Using Interval Type-2 Fuzzy Logic Systems: Lake Water Level Prediction Using Remote Sensing Data.