All Outputs (3)

Towards Explainable Deep Learning Models for Fault Prediction based on IoT Sensor Data (2024)
Thesis
Mansouri, T. (2024). Towards Explainable Deep Learning Models for Fault Prediction based on IoT Sensor Data. (Thesis). University of Salford

This thesis addresses a pressing issue in the realm of IoT-based fault prediction using sensor data, focusing on the crucial yet challenging aspect of explainability within deep learning models. While deep learning has showcased remarkable advancemen... Read More about Towards Explainable Deep Learning Models for Fault Prediction based on IoT Sensor Data.

Intelligent information processing V (2010)
Book
Leake, D., Muggleton, S., Shawe-Taylor, J., Shi, Z., Chen, L., & Cai, G. (2010). Z. Shi, S. Vadera, A. Aamodt, & D. Leake (Eds.), Intelligent information processing V. Berlin, Heidelberg, New York: Springer

This volume comprises of selected papers from the 6th IFIP International Conference on Intelligent Information Processing. As the world proceeds quickly into the Information Age, it encounters both successes and challenges, and it is well recognized... Read More about Intelligent information processing V.

Proceedings of the fifth UK/BCS symposium on knowledge discovery and data mining
Book
S. Vadera (Ed.), Proceedings of the fifth UK/BCS symposium on knowledge discovery and data mining. Salford: University of Salford

This is the proceedings of a one day symposium on Knowledge Discovery and Data Mining held at the Salford Lowry in 2009. The topics covered included some of the most important and exciting issues in the field. There were presentations on fundamen... Read More about Proceedings of the fifth UK/BCS symposium on knowledge discovery and data mining.