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Повышение эффективности стеганографических алгоритмов на основе вейвлет-преобразований is the development of algorithms and techniques of digital image steganography to increase volume of the hidden
Hyperparameters Optimization of Ensemble-based Methods for Retina Image Classification. Hyperparameter selection increased retina image classification accuracy. Experimental results shown
Deep Learning in Big Image Data: Histology IMage Classification for Breast Cancer Diagnosis in whole-slide images of lymph node sections. The whole-slide imaging of tissue probes
produces very large
Computer-aided cholelithiasis diagnosis using explainable convolutional neural network are black box in nature. Therefore, a novel approach for cholelithiasis classification using custom CNN
Deep generative modeling of annotated bacterial biofilm images for biofilm analysis is the difficulty in obtaining large datasets with fully annotated images. This study
Анализ алгоритмов классификации объектов на данных дистанционного зондирования ЗемлиAnalysis of object classification algorithms of remote sensing data
Comparative analysis of budget computing platforms for a portable micromodule of on-board image of an onboard micromodule
for preliminary classification and selection of images of underlying surface of given
Convolutional neural network in the recognition of spatial images of sugarcane crops in the troncal region of the coast of Ecuador as in the classification of the satellite images of the sugarcane plantation in the Troncal region of the Coast of Ecuador
MGFEEN: a multi-granularity feature encoding ensemble network for remote sensing image classification of parameters involved. Researchers have been exploring more sophisticated methodologies to improve image
Текстурная сегментация изображений на основе геометрической классификации и оценки плотности контурных элементов характеристик образующих их элементов.A method of texture image segmentation based on geometric classification
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