6,730 Result(s)
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English
Computer Science
Artificial Intelligence
Image Processing and Computer Vision
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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
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
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
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
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
Face Recognition and Facial Temperature Detection System Based on Neural Network Algorithms
In response to the issues of proximity between the measurer and the measured individual, as well as low measurement efficiency in traditional methods of body temperature measurement, a face recognition and fac...
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Chapter and Conference Paper
Deep Learning Estimation of Medical Substance Concentrations Using Pytorch
Machine learning has been widely used in healthcare services. Accurate estimation of target analyte concentrations is crucial for disease diagnosis and treatment planning. In this work, medical datasets are co...
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Chapter and Conference Paper
Subway Tunnel Segment Disease Detection System Based on Machine Vision Technology
For the subway operation period tunnel detection efficiency is low, difficult maintenance and other problems. Research based on machine vision technology of the subway tunnel segment disease detection system. ...
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Chapter and Conference Paper
Integrated Classification and Regression for Quantitative Biomarker Analysis in Mixture Samples
This study aims to develop a comprehensive approach for the classification and concentration estimation of multiple target analytes in biosensing samples by combining classification and regression algorithms. ...
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Chapter and Conference Paper
TOAC: Try-On Aligning Conformer for Image-Based Virtual Try-On Alignment
Recently, Image-based Virtual Try-on has garnered increasing attention within the realm of online apparel e-commerce, which aims to virtually superimpose garments onto images of portraits. Image-based virtual try...
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Chapter and Conference Paper
A Comparative Study of Pre-trained Audio and Speech Models for Heart Sound Detection
Cardiovascular disease screening is critically anchored in heart sound auscultation. As deep learning methodologies advance, the impetus toward automating heart sound detection grows, aiming to curtail relianc...
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Chapter and Conference Paper
FGL-YOLOv8: A Fine-Grained Lightweight Algorithm for Small Object Detection in UAV Images
To enhance the precision of small object detection in UAV images and minimize missed detections, this paper proposes a fine-grained lightweight YOLOv8 algorithm for complex backgrounds and densely distributed ...
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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
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
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
Model Distillation for Lane Detection on Car-Level Chips
As one of the most essential perception modules in the autonomous driving system, the lane detection module must accurately and efficiently detect each traffic lane’s location, color and type to secure the veh...
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Chapter and Conference Paper
Interpretable Back Propagation Neural Network Based Fast Directional Modulation Design
Traditional solutions for directional modulation (DM) rely on weight optimization methods, which has high computational complexity and cannot be implemented in real time. To solve the problem, in this paper, a...
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Chapter and Conference Paper
Text-Oriented Modality Reinforcement Network for Multimodal Sentiment Analysis from Unaligned Multimodal Sequences
Multimodal Sentiment Analysis (MSA) aims to mine sentiment information from text, visual, and acoustic modalities. Previous works have focused on representation learning and feature fusion strategies. However,...
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Chapter and Conference Paper
Enhancing Daily Life Through an Interactive Desktop Robotics System
In this demo, we develop an intelligent desktop operating robot designed to assist humans in their daily lives by comprehending natural language with large language models and performing a variety of desktop-r...
