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检索条件"任意字段=International Conference on Methods and Models in Automation and Robotics"
24666 条 记 录,以下是341-350 订阅
排序:
An Abnormal Detection Method of Electric Power Equipment Based on Contrast Learning
An Abnormal Detection Method of Electric Power Equipment Bas...
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Electrical automation and Artificial Intelligence (ICEAAI), international conference on
作者: Kunsan Zhang Chen Chen Xiaoping Lin Siqi Pan Linyun Fan Jinhuang Lin State Grid Fujian Electric Power Co. Ltd. Zhangzhou Power Supply Company Zhangzhou China
With the widespread application of Industrial Control Systems (ICS), equipment anomaly detection has become crucial for ensuring safety and reliability. Traditional detection methods rely on predefined rules and thres... 详细信息
来源: 评论
Multi-Time Scale Simulation of Integrated Energy System Based on Finite Difference Approximation
Multi-Time Scale Simulation of Integrated Energy System Base...
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Electrical automation and Artificial Intelligence (ICEAAI), international conference on
作者: Wentao Yang Aochen Jin Hao Sun Wenbin Yang Guangxi University College of Electrical Engineering Nanning China The R&D Department II China Mobile Industry Research Institute Chengdu China
The time scale span of energy transmission in the electric gas thermal integrated energy system is enormous, and the mathematical modeling of dynamic processes in multi-energy flow systems at different time scales is ... 详细信息
来源: 评论
Analysis of Fractional-Order Biological Model via A Novel Semi-Analytical Approach
Analysis of Fractional-Order Biological Model via A Novel Se...
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Advancements in Electrical, Electronics, Communication, Computing and automation (ICAECA), international conference on
作者: Jayaram Prakash K Saratha S R Department of Mathematics Kumaraguru College of Technology Coimbatore Tamil Nadu India
This study presents a hybrid methodology that combines a novel fractional integral transform with the Fractional Differential Transform Method (FDTM) to solve fractional differential equations (FDEs). The proposed app... 详细信息
来源: 评论
Continuous Adversarial Text Representation Learning for Affective Recognition
Continuous Adversarial Text Representation Learning for Affe...
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international conference on Artificial Intelligence in Information and Communication (ICAIIC)
作者: Seungah Son Andres Saurez Dongsoo Har CCS Graduate School of Mobility Korea Advanced Institute of Science and Technology (KAIST) Daejeon Rep. of Korea Robotics Program Korea Advanced Institute of Science and Technology (KAIST) Daejeon Rep. of Korea
While pre-trained language models excel at semantic understanding, they often struggle to capture nuanced affective information critical for affective recognition tasks. To address these limitations, we propose a nove... 详细信息
来源: 评论
Anything-DT Modeling: A New Framework for Digital Twin Modeling of Wild Objects from a Single RGB Image
Anything-DT Modeling: A New Framework for Digital Twin Model...
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Electrical automation and Artificial Intelligence (ICEAAI), international conference on
作者: Jun Geng Siqi Wang Xiaoyun Yi Wanqing Xiong Hongchao Yin Xiaoyu Li The School of Software Xinjiang University Urumqi China The School of Information and Software Engineering University of Electronic Science and Technology of China Chengdu China
Given the significant limitations of current digital twin modeling methods in practical applications, their lack of sufficient generalizability, and the inherent diversity and complexity of real-world objects and envi... 详细信息
来源: 评论
3D Industrial Human Action Recognition Based on the Synergy Between Convolutional Neural Networks and Long Short-Term Memory
3D Industrial Human Action Recognition Based on the Synergy ...
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international conference on Autonomous Robots and Agents, ICARA
作者: Mohammadamin Salimi Carla Alves André Cardoso Estela Bicho Luis Louro Ana Colim José J. M. Machado João Manual R. S. Tavares Duarte Fernandes DTx - Digital Transformation Colab Azurém Campus of University of Minho Guimarães Portugal Dept of Industrial Eletronics Algoritmi Center Azurém Campus of University of Minho Guimarães Portugal DTx-Digital Transformation Colab Algoritmi Centre Azurém Campus of University of Minho Guimarães Portugal Departamento de Engenharia Mecânica Faculdade de Engenharia Universidade do Porto Porto Portugal DTx-Digital Transformation Colab Azurém Campus of University of Minho Guimarães Portugal
This paper illustrates a significant contribution to Human Activity Recognition (HAR) within industrial environments. We propose a deep learning model that combines Long Short-Term Memory (LSTM) and Convolutional Neur... 详细信息
来源: 评论
Multi-Discriminator Deep Learning Framework for Comprehensive Classification Tasks
Multi-Discriminator Deep Learning Framework for Comprehensiv...
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Electronics, Energy Systems and Power Engineering (EESPE), IEEE international conference on
作者: Haorun Zhao Tianjin University of Science and Technology Tianjin China
This paper presents an automated classification model leveraging multiple artificial intelligence discriminators to tackle complex classification tasks in industrial and agricultural scenarios. Traditional manual clas... 详细信息
来源: 评论
Research on Intelligent Evaluation Model of Classroom Teaching Based on Machine Learning Algorithm
Research on Intelligent Evaluation Model of Classroom Teachi...
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Electronics, Energy Systems and Power Engineering (EESPE), IEEE international conference on
作者: Caiyun Wang Changchun University of Architecture and Civil Engineering Changchun China
This paper proposes an intelligent evaluation model of classroom teaching based on SVM algorithm, aiming to improve the automation, objectivity and accuracy of the evaluation process. First, this paper designs an inte... 详细信息
来源: 评论
River-GEM: Generating and Enhancing Muddy Water Images
River-GEM: Generating and Enhancing Muddy Water Images
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international conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Alik Pramanick Chivukula Sairam Satwik Sonal Kumar Akshay Daydar Arijit Sur Indian Institute of Technology Guwahati India
Underwater image enhancement is crucial for marine engineering and aquatic robotics. However, most recent methods have focused on ocean environments, where they trained and tested on oceanic images. As a result, these... 详细信息
来源: 评论
LLM-Driven Peer Competitor and Stock Analysis
LLM-Driven Peer Competitor and Stock Analysis
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Computing for Sustainability and Intelligent Future (COMP-SIF), international conference on
作者: Sharathchandra Patil S. Mahalakshmi N R Vikas V N Srajan M Srinandan Information Science & Engineering BMS Institute of Technology & Management Bengaluru India
The competitive landscape is a significant factor in strategic corporate decision-making, and therefore the identification of peer competitors is crucial for businesses, investors, and financial analysts. This paper i... 详细信息
来源: 评论