Weather prediction and meteorological analysis contribute significantly towards sustainable development to reduce the damage from extreme events which could otherwise set-back progress in by years. The change surface temperature is as one of important indicators detecting climate change. In this research, we propose a novel deep learning model named Spatial Feature Attention Long Short Term Mem...

Medical landmark localization is crucial for treatment planning. Although FCN-based heatmap regression methods have made significant progress, there a lack of research focused on features that can learn spatial configuration between medical landmarks, notwithstanding the well-structured patterns these landmarks. In this paper, we propose novel spatial-configuration-feature-based network effecti...

The goal of this study was to map and quantify the number of newly constructed buildings in Accra, Ghana between 2002 and 2010 based on high spatial resolution satellite image data. Two semi-automated feature detection approaches for detecting and mapping newly constructed buildings based on QuickBird very high spatial resolution satellite imagery were analyzed: (1) post-classification comparis...

The degree to which spatial and feature-based attention are governed by similar control mechanisms is not clear. To explore this issue, I measured, during conditions of spatial or feature-based attention, activity in the human subcortical visual nuclei, which have precise retinotopic maps and are known to play important roles in the regulation of spatial attention but have limited selectivity o...