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A mobile-based deep learning model for cassava disease diagnosis. Front Plant Sci. 2019;10:272. Article Google Scholar Singh UP, Chouhan SS, Jain S, Jain S. Multilayer convolution neural network for the classification of mango leaves infected by anthracnose disease. IEEE Access. 2019;7:4372...
robust learning from observation with model misspecification [Paper] neural network for determining an asteroid mineral composition from reflectance spectra [Paper] understanding adversarial robustness against on-manifold adversarial examples [Paper] learning-based design of luenberger observers for autono...
These task-based FCs were used in a connectome-based predictive model (CPM)23 to predict each of the eight behavioral symptoms related to psychiatric disorders (Fig. 2 and Supplementary Table 1). First, in the CPM, univariately significant FCs were used to establish a linear model for ...
was used to confirm the performance of the predictive model. The ROC curve for the combination model provided an area under the ROC curve (AUC) of 0.91 (95% CI 0.84–0.98, Supplementary Fig.5). Specificity was improved in the model compared to individual qualifiers, showing the importance ...
prototype. The entire prototype functioning is controlled by indigenously developed software on the Arduino platform and attached with a 5 V rechargeable power supply. The dimension of the developed prototype is 176 mm × 38 mm × 35 mm. The designed model of the prototype discards unwanted ...
Mass spectra of the different sampling localizations are either written as separate data files or as a continuous data stream into a single file. In both cases, this requires a wealth of processing steps in which the informative signals have to be extracted, assembled to a location-signal data...
However, Mansfeld [25] is his reports suggest that Bode plots is more appropriate to represent the impedance data because most of the measuring points are completely displayed at the entire frequency domain of the spectra. Thus, allowing a quick diagnosis of the behavior due to the sensitive of...
In this work, a non-intrusive, spatially resolved, spectro-tomographic optical diagnostic of the electronic density and temperature on the linear plasma column Mistral is presented. Coupling of spectroscopy and tomography technique gives access to the lo
Optical coherence tomography angiography (OCTA) is widely used for non-invasive retinal vascular imaging, but the OCTA methods used to assess retinal perfusion vary. We evaluated the different methods used to assess retinal perfusion between OCTA studies