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Engineering 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
9999+개의 결과
Random feedback weights support learning in deep neural networks
Timothy Lillicrap, Daniel Cownden 외 2명
arXiv (Cornell University)
|
2014
|
88 회 인용
TESLA Technical Design Report, Part VI, Chapter 1: The Photon Collider at TESLA
B. Badełek, C. Blöchinger 외 97명
arXiv (Cornell University)
|
2001
|
88 회 인용
A Classical Density-Functional Theory for Describing Water Interfaces
Jessica Hughes, Η. Krebs 외 1명
arXiv (Cornell University)
|
2012
|
87 회 인용
FireNet: A Specialized Lightweight Fire & Smoke Detection Model for Real-Time IoT Applications.
Arpit Jadon, Mohd Omama 외 3명
arXiv (Cornell University)
|
2019
|
87 회 인용
Generalized Parameter Estimation-based Observers: Application to Power Systems and Chemical-Biological Reactors
Roméo Ortega, Alexey Bobtsov 외 3명
arXiv (Cornell University)
|
2020
|
87 회 인용
GMAN: A Graph Multi-Attention Network for Traffic Prediction
Chuanpan Zheng, Xiaoliang Fan 외 2명
arXiv (Cornell University)
|
2019
|
87 회 인용
GRIP++: Enhanced Graph-based Interaction-aware Trajectory Prediction for Autonomous Driving
Xin Li, Xiaowen Ying 외 1명
arXiv (Cornell University)
|
2019
|
87 회 인용
License Plate Detection and Recognition Using Deeply Learned Convolutional Neural Networks
Syed Zain Masood, Guang Shu 외 2명
arXiv (Cornell University)
|
2017
|
87 회 인용
Low-Rank Matrix and Tensor Completion via Adaptive Sampling
Akshay Krishnamurthy, Aarti Singh
arXiv (Cornell University)
|
2013
|
87 회 인용
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks
Tong Bu, Wei Fang 외 4명
arXiv (Cornell University)
|
2023
|
87 회 인용
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