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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251-260 订阅
排序:
Modelling of Shear Walls with Opening Using Machine Learning Techniques
Modelling of Shear Walls with Opening Using Machine Learning...
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international conference on Autonomous Robots and Agents, ICARA
作者: Yogesh Aggarwal Department of Civil Engineering NIT Kurukshetra Kurukshetra Haryana India
A Shear wall is the most appropriate structure shape in reinforced concrete buildings. Thus, examining the Shear Wall in structural systems is vital because it effectively resists lateral loads such as wind and seismi... 详细信息
来源: 评论
Performance Analysis of ANFIS and DRL Based Speed Controllers for Sensorless Drives
Performance Analysis of ANFIS and DRL Based Speed Controller...
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IEEE SSD international Multi-conference on Systems, Signals and Devices
作者: Kasim M. Al-Aubidy Abdullah F. Al-Saoudi Mechatronics Eng. Dept. Tishk International University Erbil Iraq
Permanent magnet synchronous machines (PMSMs) are of great interest in automation and robotics applications due to their small size, high efficiency, and low maintenance requirements. However, these motors face challe... 详细信息
来源: 评论
Vision-Based Robotic Grasping: Integrating YOLOv8 and GRCNN for Dynamic Object Handling  2nd
Vision-Based Robotic Grasping: Integrating YOLOv8 and GRCNN ...
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2nd international conference on Intelligent Manufacturing and robotics, ICIMR 2024
作者: Lyu, Xingze Hajjaj, Sami Salama Hussen School of Robotics Xi’an Jiaotong-Liverpool University 111 Taicang Avenue Jiangsu Province Suzhou Taicang215400 China School of Engineering and Technology Sunway University No. 5 Jalan Universiti Selangor Darul Ehsan Bandar Sunway47500 Malaysia
This work presents an approach to vision-based robotic grasping, combining scene understanding with advanced neural network architectures. The primary goal is to develop a system that enables robots to grasp a wide va... 详细信息
来源: 评论
Deep Learning Meets Traditional Machine Learning: CNN-SVM Hybrid models for Parkinson's Diagnosis  3
Deep Learning Meets Traditional Machine Learning: CNN-SVM Hy...
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3rd IEEE international conference on automation and Computation, AUTOCOM 2025
作者: Mehta, Shiva Bhardwaj, Rishabh Chitkara University Institute of Engineering and Technology Chitkara University Centre for Research Impact & Outcome Punjab Rajpura140401 India Chitkara University Chitkara Centre for Research and Development Himachal Pradesh 174103 India
Parkinson's disease (PD) is a neurodegenerative disorder that needs early and accurate diagnosis for good management. Our approach in this study is to have a hybrid diagnostic framework which uses Convolutional Ne... 详细信息
来源: 评论
An Embedding Algorithm Based on Neighborhood Aggregation for Attribute Graphs
An Embedding Algorithm Based on Neighborhood Aggregation for...
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international conference on Computer and automation Engineering, ICCAE
作者: Dongming Chen Shuyue Zhang Yumeng Zhao Mingzhao Xie Dongqi Wang Software College Northeastern University Shenyang China
Attribute graph embedding algorithms based on graph neural networks aggregate information about the neighborhood of a target node to update the embedding of the target node, i.e. neighborhood aggregation. The shallow ... 详细信息
来源: 评论
Harnessing CNN and LSTM models for Enhanced Predictive Maintenance in Industrial IoT Systems
Harnessing CNN and LSTM Models for Enhanced Predictive Maint...
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automation and Computation (AUTOCOM), international conference on
作者: Rajeev Kumar Bhaskar Balasubramaniam Kumaraswamy Department of CS & IT Kalinga University Raipur India
In this research, the problem of predictive maintenance using the Industrial Internet of Things (IIoT) systems is investigated with the use of hybrid Convolutional Neural Networks (CNN) and Long Short Term Memory (LST... 详细信息
来源: 评论
Detection of Endangered Deer Species Using UAV Imagery: A Comparative Study between Efficient Deep Learning Approaches
Detection of Endangered Deer Species Using UAV Imagery: A Co...
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international conference on Unmanned Aircraft Systems (ICUAS)
作者: Agustin Roca Gastón Castro Gabriel Torre Leonardo J. Colombo Ignacio Mas Javier Pereira Juan I. Giribet Artificial Intelligence and Robotics Laboratory (LINAR) Universidad de San Andrés Victoria Provincia de Buenos Aires Argentina Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) Argentina Centre for Automation and Robotics (CSIC-UPM) Ctra. M300 Campo Real Km 0200 Arganda del Rey Madrid Spain Museo Argentino Bernardino Rivadavia Capital Federal Argentina
This study compares the performance of state-of-the-art neural networks including variants of the YOLOv11 and RT-DETR models for detecting marsh deer in UAV imagery, in scenarios where specimens occupy a very small po... 详细信息
来源: 评论
Discrete Fourier Transform-Based Point Cloud Compression for Efficient SLAM in Featureless Terrain
Discrete Fourier Transform-Based Point Cloud Compression for...
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international conference on Autonomous Robots and Agents, ICARA
作者: Riku Suzuki Ayumi Umemura Shreya Santra Kentaro Uno Kazuya Yoshida Department of Aerospace Engineering Space Robotics Lab. (SRL) Tohoku University Sendai Japan
Simultaneous Localization and Mapping (SLAM) is an essential technology for the efficiency and reliability of unmanned robotic exploration missions. While the onboard computational capability and communication bandwid... 详细信息
来源: 评论
Experimental Validation of Intelligent Ad Hoc System for Sea Surface Velocity Approximation
Experimental Validation of Intelligent Ad Hoc System for Sea...
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international conference on Autonomous Robots and Agents, ICARA
作者: Karlo Jakac Luka Lanča Ante Sikirica Stefan Ivić Faculty of Engineering University of Rijeka Rijeka Croatia Center for Advanced Computing and Modelling University of Rijeka Rijeka Croatia
This paper presents the validation of a smart ad hoc system designed to approximate the sea surface velocity field using measurements obtained from multiple floating sensors. Recognizing that point data alone cannot f... 详细信息
来源: 评论
A Survey on Fast Task Adaptation Techniques in Machine Learning
A Survey on Fast Task Adaptation Techniques in Machine Learn...
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international conference on Inventive Computation Technologies (ICICT)
作者: Ramesh G Kiran Raj K M Shantveer Kesti Charandeep B S Manvith Suvarna Akash Nayak Department of ISE NMAM Institute of Technology Nitte(Deemed to be University Udupi Karnataka India Department of Artificial Intelligence and Machine Learning Alva's Institute of Engineering and Technology Mangalore Karnataka India
Meta-reinforcement learning is a cutting-edge approach that facilitates swift and adaptable responses to new tasks in dynamic environments with significant resource limitations. Utilizing meta-learning principles offe... 详细信息
来源: 评论