Titlebook: Systems, Signals and Image Processing; 28th International C Gregor Rozinaj,Radoslav Vargic Conference proceedings 2022 Springer Nature Swit

Repetitions

seroma

Gait Recognition with DensePose Energy Imagesntation out of 2D images with the help of the DensePose algorithm. We design a simple CNN and train several instances to show that the obtained gait representation can in fact be used to improve gait recognition accuracy. Experimental results are based on the publicly available CASIA-B dataset.

Interregnum

Banana Ripening Classification Using Computer Vision: Preliminary Resultsy lies in assessing which parameters best define the maturation stage to automate the classification process with accuracy. The results aim to determine which texture feature can provide better results for the automatic classification of the bananas ripening phase, which is an important challenge to food industry for export.

整体

Fast Algorithm for Dyslexia Detectiont group comprises of 88 low risk (LR) subjects and the second group comprises of 97 high risk (HR) subjects. Our measurements achieved a classification accuracy score 86.164% by classifying the subjects into the correct groups.

Eclampsia

corn732

1865-0929 areas, including filter design, Fourier and other transforms, feature extraction, machine learning and system adaptation to user-oriented products like 5G networks, IoT, virtual teleport or tele-surgery operations..978-3-030-96877-9978-3-030-96878-6Series ISSN 1865-0929 Series E-ISSN 1865-0937

Jocose

Transfusion

Segmentation of Significant Regions in Retinal Images: Perspective of U-Net Network Through a Comparetwork achieved the best sensitivity of 91.6%. We show that in our tests U-Net architectures achieve better results in vessel and optic disc segmentation even compared to standard methods, that do not depend on the amount of available data.

emulsify

Energy Reconstruction Techniques in TileCal Under High Pile-Up Conditionstion using LHC collision data. Different pile-up conditions are considered. The results show that the performance in terms of the uncertainty of the energy estimation can be improved up to 35% in high-occupancy readout channels.

Acetaldehyde