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Purpose
Neural networks have received recent interest for reconstruction of undersampled MR acquisitions. Ideally, network performance should be optimized by drawing the training and testing data from the same domain. In practice, however, large datasets comprising hundreds of subjects scanned under a common protocol are rare. The goal of this study is to introduce a transfer‐learning approach to...
Several regions in the ventral-temporal cortex of the human brain are thought to have representations of specific categories of objects. Furthermore, a distributed network of frontal and parietal brain regions is implicated in attentional control. It is assumed that during visual search, attention-control regions send top-down signals to the target category-selective areas to bias the processing in...
This paper presents the design of a landmine detection system capable of detecting landmines, IEDs and UXOs. The System has the capability to identify multiple scanner operating units and relays the landmines detected by them onto the base station via Zigbee modules. An algorithm has been designed and tested to detect mines and plot their respective positions on the map. The route followed by the...
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