Abstract This work attempted to construct a new metal artifact reduction (MAR) framework in kilo-voltage (kV) computed tomography (CT) images by combining (1) deep learning and (2) multi-modal imaging, defined as MARTIAN (Metal Artifact Reduction throughout Two-step sequentIAl deep convolutional neural Networks).Most CNNs under supervised learning
In radioactive source surveying protocols, a number of task-inherent features degrade the quality of collected gamma ray spectra, including: limited dwell times, a fluctuating background, a large distance to the source, weak source activity, and the low sensitivity of mobile detectors.Thus, collected gamma ray spectra are expected to be Sleepwear s
A field experiment was conducted to investigate the role of different plant extracts in alleviating salt stress-induced adverse effects on wheat plants.Two potential wheat cultivars, Galaxy-2013 and Faisalabad-2008, were sown in November 2020 in saline soil with soil electrical conductivity of 9.8 dS m-1.At the booting and anthesis stages, the whea
The performance of different Data Mining Algorithms including Classification, Clustering, Association, Prediction and others are highly related to the approaches used in Data Warehouse design and to the way the data is stored (lightly summarized, highly summarized and detailed).Detailed data is important to get detailed reports but as the amount of
The performance of different Data Mining Algorithms including Classification, Clustering, Association, Prediction and others are highly related to the approaches used in Data Warehouse design and to the way the data is stored (lightly summarized, highly summarized and detailed).Detailed data is important to get detailed reports but as the amount of