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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
Compare Contact Model-based Control and Contact Model-free Learning: A Survey of Robotic Peg-in-hole Assembly Strategies
Jing Xu, Zhimin Hou 외 2명
arXiv (Cornell University)
|
2019
|
84 회 인용
Efficient Monte Carlo Integration Using Boosted Decision Trees and Generative Deep Neural Networks
J. Bendavid
arXiv (Cornell University)
|
2017
|
84 회 인용
Hollow-core fibers with reduced surface roughness and ultralow loss in the short-wavelength range
Jonas H. Osório, Foued Amrani 외 10명
arXiv (Cornell University)
|
2022
|
84 회 인용
NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles
Holger Caesar, Juraj Kabzan 외 7명
arXiv (Cornell University)
|
2021
|
84 회 인용
Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark
Joakim Bruslund Haurum, Thomas B. Moeslund
arXiv (Cornell University)
|
2021
|
84 회 인용
Simple, Efficient, and Neural Algorithms for Sparse Coding
Sanjeev Arora, Rong Ge 외 2명
arXiv (Cornell University)
|
2015
|
84 회 인용
A comparison of non-intrusive load monitoring methods for commercial and residential buildings
Nipun Batra, Oliver Parson 외 3명
arXiv (Cornell University)
|
2014
|
83 회 인용
A Telecom Perspective on the Internet of Drones: From LTE-Advanced to 5G
Guang Yang, Xingqin Lin 외 6명
arXiv (Cornell University)
|
2018
|
83 회 인용
Convex and Network Flow Optimization for Structured Sparsity
Julien Mairal, Rodolphe Jenatton 외 2명
arXiv (Cornell University)
|
2011
|
83 회 인용
Curiosity-driven Exploration for Mapless Navigation with Deep Reinforcement Learning
Oleksii Zhelo, Jingwei Zhang 외 3명
arXiv (Cornell University)
|
2018
|
83 회 인용
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