465 Result(s)
within
English
Artificial Intelligence
Computer Communication Networks
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Chapter
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Chapter and Conference Paper
IoT Botnet Attacks Detection and Classification Based on Ensemble Learning
With the vigorous development of the IoT, botnet attacks against the IoT have become more frequent and diverse, and the research on attack prevention and detection has become more difficult. This paper propose...
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Chapter and Conference Paper
Infrared and Visible Image Fusion via Test-Time Training
Infrared and visible image fusion (IVIF) is a widely used technique in instrument-related fields. It aims at extracting contrast information from the infrared image and texture details from the visible image a...
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Chapter and Conference Paper
DP-INNet: Dual-Path Implicit Neural Network for Spatial and Spectral Features Fusion in Pan-Sharpening
Pan-sharpening is a technique that fuses a high-resolution panchromatic (PAN) image with its corresponding low-resolution multispectral (MS) image to create a high-resolution multispectral image. Due to the po...
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Chapter and Conference Paper
Graph-Based Dependency-Aware Non-Intrusive Load Monitoring
Non-intrusive load monitoring (NILM) is able to analyze and predict users’ power consumption behaviors for further improving the power consumption efficiency of the grid. Neural network-based techniques have b...
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Chapter and Conference Paper
Distance Education Platform for Mental Health Courses in Secondary Vocational Schools Based on Cloud Computing
In order to solve the problem of the limited response ability of the remote client terminal of the distance education platform, this study proposed a cloud computation-based distance education platform for sec...
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Chapter and Conference Paper
Learning Scene Graph for Better Cross-Domain Image Captioning
The current image captioning (IC) methods achieve good results within a single domain primarily due to training on a large amount of annotated data. However, the performance of single-domain image captioning m...
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Chapter and Conference Paper
A Multi-view Feature Construction and Multi-Encoder-Decoder Transformer Architecture for Time Series Classification
Time series data plays a significant role in many research fields since it can record and disclose the dynamic trends of a phenomenon with a sequence of ordered data points. Time series data is dynamic, of var...
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Chapter and Conference Paper
Integrating Human Parsing and Pose Network for Human Action Recognition
Human skeletons and RGB sequences are both widely-adopted input modalities for human action recognition. However, skeletons lack appearance features and color data suffer large amount of irrelevant depiction. ...
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Chapter and Conference Paper
Recognizer Embedding Diffusion Generation for Few-Shot SAR Recognization
Synthetic Aperture Radar (SAR) has become a research hotspot due to its ability to identify targets in all weather conditions and at all times. To achieve satisfactory recognition performance in most existing ...
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Chapter and Conference Paper
A Two-Stage Federated Learning Framework for Class Imbalance in Aerial Scene Classification
Centralized aerial imagery analysis techniques face two challenges. The first one is the data silos problem, where data is located at different organizations separately. The second challenge is the class imbal...
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Chapter and Conference Paper
Research on the Quality Evaluation of Online Teaching of Instrument Analysis Courses in Universities Based on Analytic Hierarchy Process
With the development of computer technology, in the field of education, a new online teaching model has been formed in order to improve flexibility and convenience, broaden learning resources and opportunities...
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Chapter and Conference Paper
Fuzzy Sliding Mode Trajectory Tracking Control for Omnidirectional Mobile Robots Based on Exponential Convergence Law
The increasing advancements in information technology have led to a growing interest in control research for mobile robot trajectory tracking. A controller for robot systems should exhibit adaptivity and robus...
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Chapter and Conference Paper
StableYolo: Optimizing Image Generation for Large Language Models
AI-based image generation is bounded by system parameters and the way users define prompts. Both prompt engineering and AI tuning configuration are current open research challenges and they require a significa...
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Chapter and Conference Paper
Boosting Generalization Performance in Person Re-identification
Generalizable person re-identification (ReID) has gained significant attention in recent years as it poses greater challenges in recognizing individuals across different domains and unseen scenarios. Existing ...
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Chapter and Conference Paper
Sem-Avatar: Semantic Controlled Neural Field for High-Fidelity Audio Driven Avatar
In this paper, we tackle the audio-driven avatar challenge by fitting a semantic controlled neural field to a talking-head video. While existing methods struggle with realism and head-torso inconsistency, our ...
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Chapter and Conference Paper
Lightweight Multispectral Skeleton and Multi-stream Graph Attention Networks for Enhanced Action Prediction with Multiple Modalities
Human action recognition methods often focus on extracting structural and temporal information from skeleton-based graphs. However, these approaches struggle with effectively capturing and processing extensive...
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Chapter and Conference Paper
Unsupervised Domain Adaptation for Optical Flow Estimation
In recent years, we have witnessed significant breakthroughs of optical flow estimation with the thriving of deep learning. The performance of the unsupervised method is unsatisfactory due to it is lack of eff...
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Chapter and Conference Paper
Construction of Business English Translation Teaching Model in Higher Vocational Colleges Based on Web-Based Learning Platform
With the formation of economic globalization and the increasingly frequent exchanges between countries in politics, culture, trade and other aspects, the society urgently needs high-level business English tran...
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Chapter and Conference Paper
Semantic-Information Space Sharing Interaction Network for Arbitrary Shape Text Detection
Arbitrary shape text detection is a challenging task due to significant variations in text shapes, sizes, and aspect ratios. Previous approaches relying on single-level feature map generated through a top-down...
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Chapter and Conference Paper
Visual Inertial Navigation Optimization Method Based on Landmark Recognition
This study utilizes a low-cost, low-power, and highly accurate monocular visual-inertial odometry (VIO) as the navigation algorithm for unmanned aerial vehicles (UAV). However, VIO may experience positioning i...
