colostrum 发表于 2025-3-26 22:54:55
Segmentation of Epiphytes in Grayscale Images Using a CNN-Transformer Hybrid Architecture,in memorizing long sequences. In this study, we have used TransU-Net, an architecture that combines the merits of both transformer and CNN for the segmenting images of ., an epiphyte, acquired with drones. The segmentation outputs generated from the trained models were evaluated with Dice score andFECK 发表于 2025-3-27 02:31:46
http://reply.papertrans.cn/27/2628/262790/262790_32.png一窝小鸟 发表于 2025-3-27 07:15:55
Topological Machine Learning Data Analysis for the Extraction of Robust Geometric Information,with huge data sets, TDA is often utilised to extract structural and qualitative information. A set of hyper-spectral photos and simulated data show how well this approach works and how widely applicable it is. Here, we show that the hierarchical structure of hyper-spectral images is optimum. Our nenerve-sparing 发表于 2025-3-27 09:48:03
2367-3370environment and industry. Further, the book also addresses the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology and health care.978-981-19-1558-1978-981-19-1559-8Series ISSN 2367-3370 Series E-ISSN 2367-3389窒息 发表于 2025-3-27 16:04:24
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Insomnia in Comorbid Neurological Problemssary to find out the potential consumers or clients so that marketing will be done in an effective manner with addition to that the business makers can gain loyalty of consumers which will be beneficial for them in various perspectives. So, the quality of data is extremely important for business makpulmonary-edema 发表于 2025-3-28 06:53:57
Physiological Basis of Insomnialts for the people. Recommender systems (RSs) play a significant role in generating accurate recommendations. Among the different types of RS, collaborative filtering-based (CF) RS is the most used due to its ability to produce recommendations that can fit the user’s varying preferences over time. CFacilities 发表于 2025-3-28 10:57:47
Insomnia in Children and Adolescentssing physical and acoustic spectrogram imagery and optimized convolutional neural network classifiers. Two CNN models are designed to automatically and hierarchically learn spatially image features using 5 convolution layers of different filters followed by max polling 3 and fully connected 10 NN la