Kumoh National Institute of Technology

🇰🇷 KR

论文数

108

总引用数

2,145

H-Index

22

研究人员

115

关于

暂无简介。

研究焦点

Computer science98 · 2,054 次引用
Artificial intelligence82 · 1,695 次引用
Robot69 · 1,234 次引用
Engineering57 · 1,056 次引用
Mechanical engineering20 · 579 次引用
Materials science23 · 543 次引用
Simulation29 · 508 次引用
Real-time computing20 · 467 次引用
Nanotechnology12 · 369 次引用
Systems engineering9 · 361 次引用

主要成就

22
H 指数
108
论文
2,145
总引用数
115
教职员与研究人员
🏆 最高被引论文
Fusion of Federated Learning and Industrial Internet of Things: A survey
284 次引用 · 2022
📊 篇均引用: 20
📈 最高产年份: 2023 (18)
🔬 研究焦点: Computer science, Artificial intelligence, Robot, Engineering, Mechanical engineering, Materials science

代表论文

  1. 1
    Fusion of Federated Learning and Industrial Internet of Things: A survey
    284 次引用 · 2022
  2. 2
    Mechanically Robust and Linearly Sensitive Soft Piezoresistive Pressure Sensor for a Wearable Human–Robot Interaction System
    144 次引用 · 2024
  3. 3
    Robot-based construction automation: An application to steel beam assembly (Part I)
    116 次引用 · 2013
  4. 4
    A minimum-time trajectory planning method for two robots
    115 次引用 · 1992
  5. 5
    Resource-based task allocation for multi-robot systems
    102 次引用 · 2018
  6. 6
    Shape Memory Alloy (SMA)‐Based Microscale Actuators with 60% Deformation Rate and 1.6 kHz Actuation Speed
    84 次引用 · 2018
  7. 7
    A State-of-the-Art Review on Robots and Medical Devices Using Smart Fluids and Shape Memory Alloys
    70 次引用 · 2018
  8. 8
    Robot-based construction automation: An application to steel beam assembly (Part II)
    69 次引用 · 2013
  9. 9
    Control Aspects of Shape Memory Alloys in Robotics Applications: A Review over the Last Decade
    68 次引用 · 2022
  10. 10
    Short-Packet Communications in Wireless-Powered Cognitive IoT Networks: Performance Analysis and Deep Learning Evaluation
    66 次引用 · 2021

教职员与研究人员

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