Fuzzing is a popular software testing method that discovers bugs by massively feeding target applications with automatically generated inputs. Many state-of-art fuzzers use branch coverage as feedback metric to guide the fuzzing process. The fuzzer retains inputs for further mutation only if increased. However, provides shallow sampling of program behaviours and hence may discard interesting mu...

Abstract The soilscapes along the southern and western coast of Crete (Greece) are dominated by coarse-grained reddish-brown slope sediments whose natural (pre-anthropogenic) configuration properties difficult to reconstruct due long history intense land use. As a consequence, datable terrestrial sediment archives pre-anthropogenic genesis scarce. We present preliminary results study performed ...

Dynamic Aspect Oriented Programming (AOP) technologies typically provide coarse-grained mechanisms for adapting aspects that cross-cut a system deployment; i.e. whole aspect modules can be added and removed at runtime. However, in this paper we demonstrate that adaptation of the finer-grained elements of individual aspect modules is required in highly dynamic systems and applications. We presen...

Establishing visual correspondence across images is a challenging and essential task. Recently, an influx of self-supervised methods have been proposed to better learn representations for correspondence. However, we find that these often fail leverage semantic information over-rely on the matching low-level features. In contrast, human vision capable distinguishing between distinct objects as p...

The development of agriculture and industry and the increase of population in countries with arid to semi-arid climates have led to more harvesting of groundwater resources and as a result land subsidence in different parts of the worlds. Decades of groundwater overexploitation in the Kashmar-Bardaskan plain in the north-east of Iran has resulted substantial land subsidence in this plain. The p...