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Engineering 논문 리뷰
Engineering 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
9999+개의 결과
Data-Driven Stochastic Models and Policies for Energy Harvesting Sensor Communications
Meng‐Lin Ku, Yan Chen 외 1명
arXiv (Cornell University)
|
2014
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17 회 인용
Deep Denoising Neural Network Assisted Compressive Channel Estimation for mmWave Intelligent Reflecting Surfaces
Shicong Liu, Zhen Gao 외 3명
arXiv (Cornell University)
|
2020
|
17 회 인용
Deep Learning for Communication over Dispersive Nonlinear Channels: Performance and Comparison with Classical Digital Signal Processing
Boris Karanov, Gabriele Liga 외 4명
arXiv (Cornell University)
|
2019
|
17 회 인용
Deep learning models for predictive maintenance: a survey, comparison, challenges and prospect
Oscar Serradilla, Ekhi Zugasti 외 1명
arXiv (Cornell University)
|
2020
|
17 회 인용
Deep Neural Network Inverse Design of Integrated Nanophotonic Devices
Mohammad H. Tahersima, Keisuke Kojima 외 5명
arXiv (Cornell University)
|
2018
|
17 회 인용
Deep Projective 3D Semantic Segmentation
Felix Järemo Lawin, Martin Danelljan 외 4명
arXiv (Cornell University)
|
2017
|
17 회 인용
Deep Reinforcement Learning and Transportation Research: A Comprehensive Review
Nahid Parvez Farazi, Tanvir Ahamed 외 2명
arXiv (Cornell University)
|
2020
|
17 회 인용
DeepNVM++: Cross-Layer Modeling and Optimization Framework of Non-Volatile Memories for Deep Learning
Ahmet Inci, Mehmet Meric Isgenc 외 1명
arXiv (Cornell University)
|
2020
|
17 회 인용
DeepSphere: a graph-based spherical CNN
Michaël Defferrard, Martino Milani 외 2명
arXiv (Cornell University)
|
2020
|
17 회 인용
Delay Reduction via Lagrange Multipliers in Stochastic Network Optimization
Longbo Huang, Michael J. Neely
ArXiv.org
|
2009
|
17 회 인용
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