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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
Deep Learning for Target Classification from SAR Imagery: Data Augmentation and Translation Invariance
Hidetoshi Furukawa
arXiv (Cornell University)
|
2017
|
53 회 인용
Deep Reinforcement Learning for Optimal Control of Space Heating
Ádám Nagy, Hussain Kazmi 외 2명
arXiv (Cornell University)
|
2018
|
53 회 인용
Deep Spiking Networks
Peter O’Connor, Max Welling
arXiv (Cornell University)
|
2016
|
53 회 인용
Design and Evaluation of a Novel Short Prototype Filter for FBMC/OQAM Modulation
Jérémy Nadal, Charbel Abdel Nour 외 1명
arXiv (Cornell University)
|
2017
|
53 회 인용
Dex-Net 3.0: Computing Robust Robot Suction Grasp Targets in Point Clouds using a New Analytic Model and Deep Learning
Jeffrey Mahler, Matthew Matl 외 4명
arXiv (Cornell University)
|
2017
|
53 회 인용
Effective Spectral Unmixing via Robust Representation and Learning-based Sparsity
Feiyun Zhu, Ying Wang 외 3명
arXiv (Cornell University)
|
2014
|
53 회 인용
Efficient Algorithms for Smooth Minimax Optimization
Kiran Koshy Thekumparampil, Prateek Jain 외 2명
arXiv (Cornell University)
|
2019
|
53 회 인용
Epiphany-V: A 1024 processor 64-bit RISC System-On-Chip
Andreas Olofsson
arXiv (Cornell University)
|
2016
|
53 회 인용
FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations
Jinhyun So, Kevin Hsieh 외 4명
arXiv (Cornell University)
|
2022
|
53 회 인용
Infrared Imaging of the Nanometer-Thick Accumulation Layer in Organic Field-Effect Transistors
Z. Q. Li, G. M. Wang 외 6명
arXiv (Cornell University)
|
2006
|
53 회 인용
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