Saliency methods are designed to provide explainability for deep image processing models by assigning feature-wise importance scores and thus detecting informative regions in the input images.Recently, these methods have been widely adapted to the time series domain, aiming to identify important temporal regions in a time series.This paper extends
Normal 0 false Recliner false false EN-US X-NONE X-NONE Globalization has proven to spur economic growth for many countries in the world.It has, however, also negative impacts in terms of widening income gap, environmental degradation etc.such that many are worried that the growth will not be sustainable.Triple bottom line was introduced to make th
Abstract Background Identification and characterization of new traits with sound physiological foundation is essential for crop breeding and production management.Deep learning has been widely used in image data analysis to explore spatial and temporal information on crop growth and development, thus strengthening the power of identification of phy
Pesticides released into the environment may pose both ecological and human health risks.Governments set the regulations and guidelines for the allowable levels of active components of pesticides in various exposure sources, including drinking water.Several pesticide risk indicators have been developed using various methodologies, but such indicato
As a less known region with respect to Islamic pottery, Khusf County was surveyed in 2014 to record itshistorical relics.The intervening years have seen the publication of a lot of archaeological information on thedocumented relics, but the corpus of Islamic pottery from the region remains virtually unpublished.Its richdiversity in motif and decora