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5181
Adaptive Global Dense Nested Reasoning Network into Small Target Detection in Large-Scale Hyperspectral Remote Sensing Image
Published 2025-03-01“…Firstly, we develop a high-dimensional, multi-layer nested U-Net that facilitates cross-layer feature transfer, preserving high-level features of small and dim targets throughout the network. …”
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5182
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5183
SCENARIO APPROACH TO CHOOSING A STRATEGY FOR FINANCIAL SUPPORT OF THE MAIN COMPONENTS OF NATIONAL SECURITY
Published 2025-06-01Get full text
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5184
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5186
Gnaphalieae (Asteraceae): diversity and distribution in Rio de Janeiro – Brazil
Published 2025-05-01Get full text
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5187
Multi-Underwater Target Interception Strategy Based on Deep Reinforcement Learning
Published 2025-04-01Get full text
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5188
The green hydrogen role in the global energy transformations
Published 2025-12-01Get full text
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5189
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5190
A certification for natural wine? A comparative analysis of consumer drivers in Italy and Spain
Published 2023-05-01Get full text
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5191
EFCNet enhances the efficiency of segmenting clinically significant small medical objects
Published 2025-04-01“…Notably, smaller objects benefit most, highlighting EFCNet’s effectiveness where conventional models underperform. Unlike U-Net-Large, which offers marginal gains with increased scale, EFCNet’s superior performance is driven by its novel design. …”
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5192
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5193
The Imbalanced Target Classification Method Based on Mixed Learning of Virtual and Real Data
Published 2025-01-01Get full text
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5194
Automated tick classification using deep learning and its associated challenges in citizen science
Published 2025-07-01Get full text
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5195
Stripe segmentation of oceanic internal waves in SAR images based on SegFormer
Published 2025-01-01“…Initially, a hierarchical transformer encoder transforms the image into multilevel feature maps. Subsequently, information from various layers is aggregated through a multilayer perceptron (MLP) decoder, effectively merging local and global contexts. …”
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5196
Estimation of Fractal Dimension and Segmentation of Body Regions for Deep Learning-Based Gender Recognition
Published 2024-09-01“…There are few studies utilizing only IR cameras for long-distance gender recognition, and they have shown low recognition performance due to their lack of color and texture information in IR images with a complex background. …”
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5197
Encrypted traffic classification method based on convolutional neural network
Published 2022-12-01“…Aiming at the problems of low accuracy, weak generality, and easy privacy violation of traditional encrypted network traffic classification methods, an encrypted traffic classification method based on convolutional neural network was proposed, which avoided relying on original traffic data and prevented overfitting of specific byte structure of the application.According to the data packet size and arrival time information of network traffic, a method to convert the original traffic into a two-dimensional picture was designed.Each cell in the histogram represented the number of packets with corresponding size that arrive at the corresponding time interval, avoiding reliance on packet payloads and privacy violations.The LeNet-5 convolutional neural network model was optimized to improve the classification accuracy.The inception module was embedded for multi-dimensional feature extraction and feature fusion.And the 1*1 convolution was used to control the feature dimension of the output.Besides, the average pooling layer and the convolutional layer were used to replace the fully connected layer to increase the calculation speed and avoid overfitting.The sliding window method was used in the object detection task, and each network unidirectional flow was divided into equal-sized blocks, ensuring that the blocks in the training set and the blocks in the test set in a single session do not overlap and expanding the dataset samples.The classification experiment results on the ISCX dataset show that for the application traffic classification task, the average accuracy rate reaches more than 95%.The comparative experimental results show that the traditional classification method has a significant decrease in accuracy or even fails when the types of training set and test set are different.However, the accuracy rate of the proposed method still reaches 89.2%, which proves that the method is universally suitable for encrypted traffic and non-encrypted traffic.All experiments are based on imbalanced datasets, and the experimental results may be further improved if balanced processing is performed.…”
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5198
MSWF: A Multi-Modal Remote Sensing Image Matching Method Based on a Side Window Filter with Global Position, Orientation, and Scale Guidance
Published 2025-07-01“…MSWF is benchmarked against eight state-of-the-art multi-modal methods—six hand-crafted (PSO-SIFT, LGHD, RIFT, RIFT2, HAPCG, COFSM) and two learning-based (CMM-Net, RedFeat) methods—on three public datasets. …”
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5199
Skip-based combined prediction method for distributed photovoltaic power generation
Published 2024-05-01“…Based on the real data of electric power companies, we compare the proposed method with others, such as random forest (RF), TabNet and extreme gradient boosting (XGBoost) for photovoltaic power generation prediction. …”
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5200