22,538 Result(s)
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Chapter and Conference Paper
Credible Dual-X Modality Learning for Visible and Infrared Person Re-Identification
Visible-Infrared person Re-Identification (VI-ReID) is essential for public security. However, it poses a significant challenge due to the distinct reflection frequencies of visible and infrared modalities, le...
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Chapter and Conference Paper
Research on Algorithms of Lateral Face Recognition Based on Data Generation
With the rapid progress of artificial intelligence, the methods of face recognition have also achieved considerable progress. However, when multiple head poses are present, the accuracy of face recognition dec...
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Chapter and Conference Paper
Entity Relation Joint Extraction with Data Augmentation Based on Large Language Model
Entity relation extraction aims to identify entities and their semantic relationships from unstructured text. To address issues like cascading errors and redundant information found in current joint extraction...
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Chapter and Conference Paper
CANAMRF: An Attention-Based Model for Multimodal Depression Detection
Multimodal depression detection is an important research topic that aims to predict human mental states using multimodal data. Previous methods treat different modalities equally and fuse each modality by naïv...
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Chapter and Conference Paper
Medical Entity Recognition with Few-Shot Based on Chinese Character Radicals
In medical text entity recognition tasks, Chinese character radicals are often closely related to the semantics of the characters. Based on this insight, we proposed the CSR-ProtoLERT model to integrate Chines...
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Chapter and Conference Paper
Reinforcement Learning-Based Differential Evolution Algorithm with Levy Flight
In this paper, a reinforcement learning-based differential evolution algorithm with levy flight strategy (RLLDE) for solving optimization problems is proposed. It introduces a novel mutation mode considering s...
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Chapter and Conference Paper
Research on FaceNet Face Recognition Algorithm Based on Attention Mechanism
FaceNet face recognition algorithm is the mainstream face recognition algorithm at present, and its running speed is widely used in the industry. To further improve the accuracy of FaceNet face recognition net...
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Chapter and Conference Paper
A Key Person Extraction Method for Chat Groups Based on Structure-Aware Graph Neural Network
With the rapid development of mobile Internet and communication software, chat groups are used more and more in daily life and work scenarios, and a large amount of chat data is generated, which has a great im...
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Chapter and Conference Paper
Research on Tongue Muscle Strength Measurement and Recovery System
Dysphagia is caused by movement disorders such as muscular systems or neurological diseases that participate in speech movement. Speech difficulty sufferers as the main victim of Dysphagia often have problems ...
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Chapter and Conference Paper
An Optimized Solution for Highly Contended Transactional Workloads
High contention frequently explodes in E-commerce scenario when promotions are held. However, modern multi-core main-memory databases cannot achieve ideal performance under high contention. Transactions conten...
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Chapter and Conference Paper
SyncRec: A Synchronized Online Learning Recommendation System
With the rapid development of digitalization and big data technology, numerous online learning materials have become available for self-regulated online learning. However, there is still a lack of a practical ...
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Chapter and Conference Paper
Corpus Construction of Critical Illness Entities and Relationships
Entity and relational corpus construction is a key part of information extraction and knowledge graph construction. Based on the existing norms of medical entity relationship at home and abroad, we established...
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Chapter and Conference Paper
TIG-KIGNN: Time Interval Guided Knowledge Inductive Graph Neural Network for Misinformation Detection from Social Media
Since the emergence of social media, misinformation has become prevalent and is propagated through various social media platforms. Time plays a crucial role in verifying the source and authenticity of informat...
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Chapter and Conference Paper
A Classification Denoising Algorithm Based on 3D Point Cloud Curvature
In the process of denoising and smoothing 3D point cloud data, it often faces the problems of poor results required for denoising and difficulty in maintaining the local feature details of the point cloud. The...
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Chapter and Conference Paper
DSQA-LLM: Domain-Specific Intelligent Question Answering Based on Large Language Model
Question Answering (QA) is crucial for humans to access vast knowledge bases, but there is a lack of attention towards representing raw, unstructured questions and answers in specific fields. Additionally, the...
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Chapter and Conference Paper
GIST: Transforming Overwhelming Information into Structured Knowledge with Large Language Models
This paper introduces GIST (Generative Information Synthesis Taskforce), a novel personal knowledge management system that utilizes large-scale online language models to analyze and organize the information, g...
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Chapter and Conference Paper
Hierarchical Competitive Differential Evolution for Global Optimization
Global search is a fundamental task in optimization, aiming to find the optimal solution across the entire search space. To address the challenges in global search, a hierarchical competitive differential evol...
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Chapter and Conference Paper
Smart Contract Code Clone Detection Based on Pre-training Techniques
Smart contract has been utilized to realize cryptocurrencies and crowdfunding initiatives. Due to its characteristics of immutable once deployed, the security issues have been widely studied and paid much atte...
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Chapter and Conference Paper
Make Chat-GPT 4 an Expert Reading Assistant
In this study, an end-to-end framework was constructed to consolidate key information into an intuitive, easy-to-read table or graphical interface by using ChatGPT4 to analyse news articles from the automotive...
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Chapter and Conference Paper
Learning Hierarchical Representations in Temporal and Frequency Domains for Time Series Forecasting
Long-term time series forecasting is a critical task in many domains, including finance, healthcare, and weather forecasting. While Transformer-based models have made significant progress in time series foreca...
