makes great use of the lines of the building. The lighting is nicely controlled with the shadows and highlights appearing like stripes painted across the building's surface. Well done for spotting the potential in this scene and for the use of camera work and gentle black and white conversion...
Sandra and I lived with Chris (and Kathy and their dog, Charlie) for a few weeks until we found our own place; then I got seduced, and then abandoned, by a creative Canadian production house (who shall remain nameless) promising a World’s Fair’s gig working on a monster show for ...
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A plethora of classification models for the detection of glaucoma from fundus images have been proposed in recent years. Often trained with data from a single glaucoma clinic, they report impressive performance on internal test sets, but tend to struggle
Table 4 Kolmogorov–Smirnov (KS) test results, significance, and effect sizes for features that are statistically significant in at least one of the three comparisons. Full size table Next, we assessed features as a function of time, to explore changes in Facebook activity that might accompany ...
We also use optional cookies for advertising, personalisation of content, usage analysis, and social media. By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some third parties are outside of the European Economic Area, with...
(LMM) were used to model the within subject correlation between the two knees. The root mean squared error for the CNN, EN, and RF models was 0.77, 0.97 and 0.94 respectively. The LMM shows similar overall prediction accuracy as the EN regression but correctly accounted for the hierarchical ...
Adini, Y.; Sagi, D.; Tsodyks, M. Context-enabled learning in the human visual system. Nature 2002, 415, 790–793. [Google Scholar] [CrossRef] [PubMed] Zhang, T.; Cao, S.; Pu, T.; Peng, Z. AGPCNet: Attention-Guided Pyramid Context Networks for Infrared Small Target Detection....
Specifically, the original light field image dataset was randomly split into an 8:2 ratio for training and testing sets using a program, followed by further partitioning to SAI. The network framework used in the experiments is PyTorch, the CPU is i9-13900KS, and the GPU is NVIDIA 3080Ti....
In Landslide Science for a Safer Geoenvironment; Springer: Berlin/Heidelberg, Germany, 2014; pp. 457–462. [Google Scholar] Biibosunov, B.; Beksulanov, J. Information technologies for landslides and mudflows research. In Proceedings of the E3S Web of Conferences; E3S Web of Conferences: ...