In order to improve the accuracy and efficiency of maize disease recognition and take into account the practical requirements of portable equipment, a novel ES-ShuffleNetV2 maize disease lightweight recognition model ...
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ISBN:
(纸本)9798331540050;9798331540043
In order to improve the accuracy and efficiency of maize disease recognition and take into account the practical requirements of portable equipment, a novel ES-ShuffleNetV2 maize disease lightweight recognition model was proposed in this paper. The new model is based on the ShuffleNetV2 model, adding the attention module SE after the first layer of convolution to enhance the model's attention to important features. In addition, by replacing the subsampling unit at each stage and the ReLU activation function of the base unit with the ELU function, a relatively small negative gradient inflow is allowed to make the gradient propagation smoother to accelerate the convergence rate of model training. Experimental results showed that the Accuracy of ES-ShuffleNetV2 in maize disease identification reached 99.82%, higher than the basic model's 96.05%, and the computational load remained at a relatively low level. Meanwhile, the Accuracy, F1-Score and other evaluation indexes were superior to other network models involved in the comparison. The effectiveness of the new model in maize disease identification was further verified.
This exploration paper delves into the realm ofcargosoothsaying for power grids, presenting anew approachpredicated on neural network methodologies. cargosoothsaying, a critical aspect of power gridoperation, is imper...
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A graph convolutional network (GCN) has demonstrated impressive success in hand pose and shape estimation, due to its high interpretability and powerful capability for dealing with non-Euclidean data. In traditional G...
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Fostering students' science identity through games and immersive technology is one approach to encouraging student interest in STEM subjects and careers. In this study, we used the Projective Reflection framework ...
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ISBN:
(纸本)9783031804748;9783031804755
Fostering students' science identity through games and immersive technology is one approach to encouraging student interest in STEM subjects and careers. In this study, we used the Projective Reflection framework to analyze WaterWays, highlighting features that facilitate science identity exploration. Features including augmented reality, interactive mini-games, automated text read-aloud, and a chat function exemplify aspects of this framework. We examined qualitative interview data obtained from teachers who piloted WaterWays in their classrooms to clarify how students responded to these features in classroom settings. Through this analysis, we discuss how the design features available on digital platforms can promote students' identity exploration. This study contributes to the growing body of literature on designing and evaluating interactive game-based learning environments guided by the Projective Reflection framework.
To solve the problem of redundancy in aircraft skin defect detection algorithms, this paper proposes a lightweight algorithm for target detection aircraft skin defects. We propose a new ELAN module, the ELAN-GDW modul...
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This study introduces blockchain virtualization as a solution to tackle modern challenges. Evaluating the DGT network as a model, experiments probe the impact of virtualization (network-of-networks) on scaling and lat...
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ISBN:
(数字)9783031651540
ISBN:
(纸本)9783031651533;9783031651540
This study introduces blockchain virtualization as a solution to tackle modern challenges. Evaluating the DGT network as a model, experiments probe the impact of virtualization (network-of-networks) on scaling and latency, shedding light on its potential for enhanced performance. Conclusively, the study emphasizes the significance of blockchain virtualization for enhancing blockchain performance and scalability. Future directions of research are discussed, including testing of security and privacy within virtualized environments and the potential of virtualization in shaping cloud-based blockchain-as-a-service solutions. In sum, blockchain virtualization emerges as a pivotal innovation poised to redefine the landscape of blockchain technology and its applications.
Influence maximization (IM) is the task of selecting the most influential nodes in the network. IM achieves the goal of spreading information, influencing behaviour, or promoting sales of products. Existing studies in...
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With the current development of industrial Internet technology, the number of interconnected industrial control devices is increasing, the throughput of key data in industrial Internet networks is increasing, and the ...
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In the field of data science, large-scale graph neural networks (GNN) are effective for modeling complex dataset relations. However, its heavy computational load is a significant challenge. This study focuses on creat...
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Numerous malwares have been studied and fortifications throughout decades. New research shows that hazardous software is being created quickly. Frequent network and Internet use spreads and improves this software. To ...
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