24,282 Result(s)
within
English
Artificial Intelligence
**g WANG
Conference Paper
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Chapter and Conference Paper
Deployment and Comparison of Large Language Models Based on Virtual Cluster
[Objective] Currently, large language model (LLM) is one of research highlights in the field of natural language processing. This paper selected some open-source LLMs for deployment and comparison from the perspe...
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Chapter and Conference Paper
Updates and Experiences of VenusAI Platform
[Objective] This paper presents an overview introduction of the VenusAI platform, focusing on its technical updates and sharing the experiences gained since its deployment. The objective is to highlight the platf...
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Chapter and Conference Paper
Prediction and Analysis of Multiple Causes of Mental Health Problems Based on Machine Learning
To prevent other types of mental health problems from being misclassified as depression, as well as to remedy the problem of inadequate resources for mental health consultations. This study first analyzes the ...
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Chapter and Conference Paper
Strict Differentially Private Support Vector Machines with Dimensionality Reduction
With the widespread data collection and processing, privacy-preserving machine learning has become increasingly important in addressing privacy risks related to individuals. Support vector machine (SVM) is one...
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Chapter and Conference Paper
A Robust Detection and Correction Framework for GNN-Based Vertical Federated Learning
Graph Neural Network based Vertical Federated Learning (GVFL) facilitates data collaboration while preserving data privacy by learning GNN-based node representations from participants holding different dimensi...
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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
Design of a Rotating Inverted Pendulum Control System Based on Qube-Servo2
In this paper, based on the Qube-Serco2 rotating inverted pendulum system, the mathematical model and state space expression are established, and a stable pendulum control algorithm based on BP neural network ...
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Chapter and Conference Paper
FRBBM-Scheme: A Flexible Ratio Virtual Primary Key Generation Approach Based on Binary Matching
The protection of database watermarking techniques based on primary key (PK) is weakened by potential PK attacks and their huge impact. Using virtual primary key (VPK) schemes is an effective solution to enhan...
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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
Research and Application of Offline Log Analysis Method for E-commerce Based on HHS
Today, with the rapid development of Internet technology, the storage, analysis and mining of massive data have become an important technical topic in the era of information explosion. The big data technology ...
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Chapter and Conference Paper
A Modified Two_Arch2 Based on Reference Points for Many-Objective Optimization
Many-objective optimization problems (MaOPs) refer to those multi-objective problems (MOPs) having more than three objectives. For MaOPs, the performance of most multi-objective evolutionary algorithms (MOEAs)...
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Chapter and Conference Paper
Zero-Shot Medical Information Retrieval via Knowledge Graph Embedding
In the era of the Internet of Things (IoT), the retrieval of relevant medical information has become essential for efficient clinical decision-making. This paper introduces MedFusionRank, a novel approach to z...
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Chapter and Conference Paper
FAI: A Fraudulent Account Identification System
Fraudulent account detection is essential for businesses and online Internet enterprises, which can help to avoid financial loss and improve user experience. However, conventional solutions suffer from two mai...
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Chapter and Conference Paper
Dual-Stream Context-Aware Neural Network for Survival Prediction from Whole Slide Images
Whole slide images (WSI) encompass a wealth of information about the tumor micro-environment, which holds prognostic value for patients’ survival. While significant progress has been made in predicting patient...
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Chapter and Conference Paper
Classification Method for Ship-Radiated Noise Based on Joint Feature Extraction
In order to address the problem of poor recognition performance from single signal features in ship identification and to enhance the accuracy of Convolutional Neural Networks (CNNs) in underwater acoustic tar...
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Chapter and Conference Paper
Optimization of Takagi-Sugeno-Kang Fuzzy Model Based on Differential Evolution with Lévy Flight
In this article, a novel evolutionary algorithm called differential evolution with Lévy flight (DEFL) algorithm was proposed to optimize the Takagi-Sugeno-Kang fuzzy model (TSK fuzzy model) by finding the opti...
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Chapter and Conference Paper
Joint Training or Not: An Exploration of Pre-trained Speech Models in Audio-Visual Speaker Diarization
The scarcity of labeled audio-visual datasets is a constraint for training superior audio-visual speaker diarization systems. To improve the performance of audio-visual speaker diarization, we leverage pre-tra...
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Chapter and Conference Paper
A Probability Map**-Based Privacy Preservation Method for Social Networks
The mining and analysis of social networks can bring significant economic and social benefits. However, it also poses a risk of privacy leakages. Differential privacy is a de facto standard to prevent such lea...
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Chapter and Conference Paper
Online Identification and Prediction of USV Maneuverability Parameters Based on Multi-innovation Recursive Least Squares Algorithm with a Forgetting Factor
The parameter accuracy of the ship motion model has an important influence on the maneuverability prediction accuracy of the high-speed unmanned surface vehicle (USV). In order to solve the problem of data sat...
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Chapter and Conference Paper
BotRGA: Neighborhood-Aware Twitter Bot Detection with Relational Graph Aggregation
With the rapid development of AI-based technology, social bot detection is becoming an increasingly challenging task to combat the spread of misinformation and protect the authenticity of online resources. Exi...
