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Titlebook: Soft Computing and Signal Processing; Proceedings of 5th I V. Sivakumar Reddy,V. Kamakshi Prasad,K. T. V. Red Conference proceedings 2023 T

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樓主: 矜持
21#
發(fā)表于 2025-3-25 04:55:22 | 只看該作者
22#
發(fā)表于 2025-3-25 08:52:57 | 只看該作者
Automated Photomontage Generation with Neural Style Transfer,ract filter to the content image. The proposed work reciprocates the NST method for text images and is used for combining the text as content of one image to the style of another image. The proposed approach is supplemented with experimentation carried out using VGG-19 pre-trained over the ImageNet
23#
發(fā)表于 2025-3-25 14:16:58 | 只看該作者
24#
發(fā)表于 2025-3-25 18:14:22 | 只看該作者
A Hybrid Approach on Lexical Indian Sign Language Recognition,V3, DenseNet121 and MobileNetV2 to extract spatial features along with GRU, LSTM and bidirectional LSTM networks to extract the temporal features. Our model using the pre-trained MobileNetV2 model combined with GRU gave an accuracy of 99%. We also extended our approach using a combination of pose vi
25#
發(fā)表于 2025-3-25 20:06:56 | 只看該作者
26#
發(fā)表于 2025-3-26 02:38:44 | 只看該作者
An Efficient Reversible Data Hiding Based on Prediction Error Expansion,of the image exploits the pixels of another part for prediction and vice versa. Also, as a parameter of smoothness, a fluctuation value is calculated for each pixel to avoid embedding in unsmooth regions of the image. The scheme is efficient in terms of hiding larger capacities of data and better stego-image quality.
27#
發(fā)表于 2025-3-26 07:10:45 | 只看該作者
Deriving Insights from COVID-19,able and relevant to our research topic. We searched for many articles, and we surveyed the mathematical models of coronavirus. Also, we came across many papers with different strategies and the usage of different technologies.
28#
發(fā)表于 2025-3-26 10:14:14 | 只看該作者
29#
發(fā)表于 2025-3-26 15:38:02 | 只看該作者
Microservice Architecture Observability Tool Analysis,uch hard-and-fast tool there for all the projects; it entirely depends on the business requirement of the project. This paper discussed some of the open-source tools and their advantages and how we can use these tools to achieve observability design patterns.
30#
發(fā)表于 2025-3-26 19:08:31 | 只看該作者
How AI Algorithms Are Being Used in Applications,ficial intelligence lies in its ability to forecast outcomes with high accuracy, but this requires more data. Ideas like deep mastery and recurrent neural networks give the inspiration for the development of powerful artificial intelligence programs.
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