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This research evaluates the performance analysis of intelligent neural-based deep learning models which are based on Convolution neural network (CNN), Visual ...
Sep 4, 2024 · This paper proposes ResNet-50, VGG-16, and its variant for the classification of rank images. This paper describes the pre-trained model VGG- ...
Jul 28, 2023 · The main contributions of this study are: □ This paper proposes ResNet-50, VGG-16, and its variant for the classification of rank images. □ This ...
Oct 6, 2024 · Bibliographic details on Performance Analysis of Intelligent Neural-Based Deep Learning System on Rank Images Classification.
The AI system could learn how embryos develop over time and then uses this information to select the best embryos to implant from just a single image. This ...
The purpose of this paper is to train a deep neural network to properly classify the images that it has never seen before, define techniques to enhance the ...
It has been demonstrated that the modern image classification methods based on neural network frameworks of deep learning greatly boost the recognition of ...
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The objective of this paper is to develop a generalized algorithm for intelligent systems that can handle uncertainty and imprecise behavior especially for ...
This paper aims to analyze the result of predictions for all classes and the first three ranked classes, and meanwhile, compare and discuss Support. Vector ...
Sep 15, 2020 · A well-trained deep learning neural network can outperform and can potentially assist expertly trained embryologists in selecting embryos ...