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检索条件"任意字段=International Conference on Methods and Models in Automation and Robotics"
24667 条 记 录,以下是291-300 订阅
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Advancing Agricultural Sustainability: Machine Learning-Driven Insights for Optimized Crop Yield Forecasting
Advancing Agricultural Sustainability: Machine Learning-Driv...
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automation and Computation (AUTOCOM), international conference on
作者: Nitish Kumar Chirag Sharma Tanya Nagpal Department of Computer science and Engineering Lovely Professional University Punjab India Mittal School of Business Lovely Professional University Punjab India
Sustainable agriculture is crucial for addressing global challenges related to food security, resource efficiency, and environmental preservation. This study examines the potential of machine learning (ML) in forecast... 详细信息
来源: 评论
Intelligent Intrusion Detection in IoT: Integrating Machine Learning and Feature automation
Intelligent Intrusion Detection in IoT: Integrating Machine ...
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international conference on Computer and automation Engineering, ICCAE
作者: Nazratun Naim Neha A. A. M. Muzahid Md Shamsuzzoha Imrul Jahid Hua Han Yujin Zhang Md Musabbir Hossain Ferdous Sohel School of Electronic and Electric Engineering Shanghai University of Engineering Science Shanghai China Hawaii Natural Energy Institute University of Hawaii at Manoa Honolulu HI USA School of Information Technology Murdoch University Murdoch WA Australia
The rapid growth of the internet of things (IoT) raises serious security concerns, demanding effective protection from cyber-attacks. Intrusion detection depends on identifying key features, but despite advances in au... 详细信息
来源: 评论
Attack Detection in Smart Home IoT Networks: A Survey on Challenges, methods and Analysis  14th
Attack Detection in Smart Home IoT Networks: A Survey on Cha...
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14th EAI international conference on Broadband Communications, Networks, and Systems, BROADNETS 2024
作者: Rreddy, M. Vinay Kuma Lathigara, Amit Reddy, Muthangi Kantha RK University Gujarat India Computer Engineering RK University Gujarat India Shri Vishnu Engineering College for Women Andhra Pradesh India
The ubiquity of Internet of Things (IoT) gadgets in smart homes has transformed our interactions with our living environments by providing never-before-seen levels of automation and convenience. However, because IoT d... 详细信息
来源: 评论
A Current Zero-Crossing Distortion Compensation Method Based on BP Neural Network In Fast-Scanning Power Supply
A Current Zero-Crossing Distortion Compensation Method Based...
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Electrical automation and Artificial Intelligence (ICEAAI), international conference on
作者: Shuxian Zhang Jiang Zhao Zhongzu Zhou Yuan He Huan Jia Yuanshuai Qin Shuai Zhang Ye Liu Anhui Feng Institute of Modern Physics Chinese Academy of Sciences University of Chinese Academy of Sciences Lanzhou China Electrical and Electromagnetic Compatibility Group Institute of Modern Physics Chinese Academy of Sciences Lanzhou China
fast scanning power supply is utilized in many accelerator fields. Current waveform distortion caused by various reasons often occurs at the zero-crossing point, which reduce accuracy of output current. In order to op... 详细信息
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Multi-Task Model Fusion via Adaptive Merging
Multi-Task Model Fusion via Adaptive Merging
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international conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Luming Chen Ziwei Xiang Kai Lei Xu-Yao Zhang School of Artifcial Intelligence University of Chinese Academy of Sciences MAIS Institute of Automation of Chinese Academy of Sciences
Multi-task model fusion (MTMF) aims to integrate the capabilities of individual models into a unified model. Past approaches either require extensive training and fine-tuning or necessitate that models share the same ... 详细信息
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Cognitive Flux Detection and Adaptive Emotional Modulation
Cognitive Flux Detection and Adaptive Emotional Modulation
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Advancements in Electrical, Electronics, Communication, Computing and automation (ICAECA), international conference on
作者: K. Mythili Nandhini R Trishla B Vasantha Kumar S Department of Information Technology Sri Krishna College of Technology
The rapid rise of social networking sites has led to unusual usage patterns that contribute to various social network-related mental disorders, including Cyberrelationship Addiction, Information Overload, and Net Comp... 详细信息
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Impedance Modeling Method Considering the Phase of the Grid Connection Point in Grid-Forming and Grid-Following Converter Multi-Machine System
Impedance Modeling Method Considering the Phase of the Grid ...
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Electrical automation and Artificial Intelligence (ICEAAI), international conference on
作者: Yue Ma Ning Chen Yibin Tao Luming Ge China Electric Power Research Institute Nanjing China
In recent years, the rapid growth of renewable energy sources such as wind and solar power has contributed to environmental improvements while introducing new challenges to the safe and stable operation of power syste... 详细信息
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Trust Assessment Model for Visual Image-Based Human-Robot Interaction Under Known and Unknown Threats  16th
Trust Assessment Model for Visual Image-Based Human-Robot I...
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16th international conference on Social robotics, ICSR + BioMed 2024
作者: Li, Heqing Li, Xinde Liu, Erfeng Ge, Shuzhi Sam School of Cyber Science and Engineering Southeast University Nanjing China School of Automation Southeast University Nanjing China Department of Electrical and Computer Engineering National University of Singapore Singapore Singapore
Visual imagery is a critical perceptual source in human-robot interaction (HRI), extensively applied in various domains such as robotic navigation, target detection, and task planning. Aerial robots, also known as UAV... 详细信息
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Leveraging Cloud-Based Deep Learning for Cardiovascular Diseases Prediction: Challenges and Solutions
Leveraging Cloud-Based Deep Learning for Cardiovascular Dise...
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Advancements in Electrical, Electronics, Communication, Computing and automation (ICAECA), international conference on
作者: S. Kanagaraj Department of Information Technology Kumaraguru College of Technology Coimbatore India
Cardiovascular diseases CVDs are a growing threat to global mortality therefore the need for accurate early prediction of diseases is imperative to improve patient outcome. The cloud-based deep learning model provides... 详细信息
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Major Depressive Disorder Detection using Dung Beetle Optimization based QGNN Classification
Major Depressive Disorder Detection using Dung Beetle Optimi...
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Advancements in Electrical, Electronics, Communication, Computing and automation (ICAECA), international conference on
作者: R.K Shalini V. Sujitha P. Parameswari Department of Information Technology Kumaraguru College of Technology Coimbatore TamilNadu India
Major Depressive Disorder (MDD) is prevalent and incapacitating mental health disorder which mandates correct and early diagnosis for appropriate intervention. Conventional diagnostic methods are based on subjective a... 详细信息
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