Introduction: The application of machine learning methods involves the collection and processing data which comes from recording elements in offline mode. Most models are trained on historical then used forecasting, classification, search for influencing factors or impacts, state analysis. In long run, value ranges can change, affecting quality classification algorithms leading to situation whe...

2 Shaomin Wu 1 3 Cranfield University, School of Applied Sciences, Cranfield, Bedfordshire MK43 0AL, UK 4 5 Abstract 6 Warranty claims are not always due to product failures. They can also be caused by two types of human 7 factors. On the one hand, consumers might claim warranty due to misuse and/or failures caused by other human 8 factors. Such claims might account for more than 10% of all rep...

This paper focuses on an overview of kernel density estimation especially for what concerns the choice of bandwidth and intensity parameters according to local conditions. A case study inherent seismic risk analysis of the old town centre of Potenza hilltop town has been discussed, with particular attention to the evaluation of the possible local amplifying factors. This first integrated applic...

Climatic changes and neotectonic movements in the north-western plains of India have led to the migration and abandonment of drainage systems to form a large number of palaeochannels. Palaeochannels present in the study area were extracted from final geomorphological map. These were delineated from satellite image by considering combination of various factors. These channels show a discontinuou...

This paper constitutes a preliminary introduction to a project concerning the south-western area of Aquileia in antiquity. Through the collection and the study of historical and archaeological documents, historical maps, modern aerial photos and the fulfillment of geomorphological surveys, the evolution of the forms of settlement and land use will be investigated. Historical maps and modern ort...