17,158 Result(s)
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Chapter and Conference Paper
Application of T-S Fuzzy Neural Network in Water Quality Classification and Evaluation
Water quality classification and evaluation is an important part of water resources protection and development. In order to further improve the accuracy and convenience of water quality evaluation classificati...
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Chapter and Conference Paper
Tourist Attraction Recommendation System Based on Django and Collaborative Filtering
Recently, with the development of social and economic levels and people's pursuit of quality of life, tourism has become the first choice for more and more people. However, the traditional travel agency-based ...
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Chapter and Conference Paper
Research of Dialogue Analysis and Questioning Strategies for Classroom Concentration Enhancement
Classroom concentration is an essential factor affecting classroom teaching, and classroom dialogue is a bridge connecting teachers and students. It is worth studying how dialogue affects classroom concentrati...
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Chapter and Conference Paper
Blockchain-Assisted Authentication and Key Agreement Protocol for Cloud-Edge Collaboration
In response to the urgent need for scalable, lightweight, low-latency, anonymous, and highly secure identity authentication and key agreement protocol schemes in cloud-edge collaborative environments, we propo...
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Chapter and Conference Paper
Feature Reconstruction Distillation with Self-attention
A recently proposed knowledge distillation method based on feature map transfer verifies that the intermediate layers of the teacher model can be used as effective targets for training the student model for be...
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Chapter and Conference Paper
Dy-KD: Dynamic Knowledge Distillation for Reduced Easy Examples
Knowledge distillation is usually performed by promoting a small model (student) to mimic the knowledge of a large model (teacher). The current knowledge distillation methods mainly focus on the extraction and...
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Chapter and Conference Paper
Research on Summer Bird Investigation and Bird Damage Control in the Substation
With the improvement of environmental conditions, human awareness of environmental protection is constantly improving, and the number and activity range of birds are also constantly expanding. At the same time...
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Chapter and Conference Paper
A Novel Point Cloud Completion Method Based on Height Map and Dual-Mask Images
The height information of flotation foam is crucial in the titanium flotation. Foam height is embedded within foam point clouds. We are the first to introduce point cloud data in flotation analysis. Addressing...
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Chapter and Conference Paper
MTMG: A Framework for Generating Adversarial Examples Targeting Multiple Learning-Based Malware Detection Systems
As machine learning technology continues to advance rapidly, an increasing number of researchers are utilizing it in the field of malware detection. Despite the fact that learning-based malware detection syste...
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Chapter and Conference Paper
Knowledge Distillation via Information Matching
Knowledge distillation can enhance network generalization by guiding a smaller student network to learn from a more complex teacher network. The challenge lies in maximizing the performance of the student netw...
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Chapter and Conference Paper
TASML: Two-Stage Adaptive Semi-supervised Meta-learning for Few-Shot Learning
Human vision system(HVM) is a remarkable computational system that excels at analyzing complex visual scenes and recognizing objects with high accuracy and efficiency, and interrelated hierarchies for integrat...
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Chapter and Conference Paper
An Improved System for Partially Fake Audio Detection Using Pre-trained Model
The technology of speech synthesis and conversion has made good progress with the development of deep learning. However, such technology can also do harm to information security and may be applied for illegal ...
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Chapter and Conference Paper
Dynamic Feature Distillation
Feature-based knowledge distillation utilizes features from superior and complex teacher networks as knowledge to help portable student networks improve their generalization capability. Recent feature distilla...
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Chapter and Conference Paper
Image Segmentation Algorithm Based on Improved U-Net for Mineral Froth Flotation Process
The froth size distribution in mineral flotation production is closely tied to production indicators. Therefore, accurate segmentation of froth images is of great significance for optimizing and controlling th...
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Chapter and Conference Paper
Edge Server Deployment Approach Based on Uniformity and Centrality
In mobile Internet applications that support edge computing, the deployment scheme of edge servers affects the business operation state. Traditional edge servers are deployed on base stations, which do not ful...
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Chapter and Conference Paper
Correlation Guided Multi-teacher Knowledge Distillation
Knowledge distillation is a model compression technique that transfers knowledge from a redundant and strong network (teacher) to a lightweight network (student). Due to the limitations of a single teacher’s p...
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Chapter and Conference Paper
Multi-objective Optimal Control of Wastewater Treatment Process Based on Neural Network
The essential to reduce the loss in this stage and produce high-quality final products. First, to this end, a centralized model is developed using multi-objective optimization methods. The results show that th...
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Chapter and Conference Paper
Adaptive Deep Graph Convolutional Network for Dialogical Speech Emotion Recognition
With the increasing demand for humanization of human-computer interaction, dialogical speech emotion recognition (SER) has attracted the attention from researchers, and it is more aligned with actual scenarios...
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Chapter and Conference Paper
Research on Pain Information Management System Based on Deep Learning
The hospital accelerates the construction of the “trinity” of electronic medical records, smart services, and smart management, and the construction of hospital information standardization is an important part...
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Chapter and Conference Paper
Joint Regularization Knowledge Distillation
Knowledge distillation is devoted to increasing the similarity between a small student network and an advanced teacher network in order to improve the performance of the student network. However, these methods...
