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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
Transfer Learning-based Road Damage Detection for Multiple Countries
Deeksha Arya, Hiroya Maeda 외 5명
arXiv (Cornell University)
|
2020
|
68 회 인용
Un-regularizing: approximate proximal point and faster stochastic algorithms for empirical risk minimization
Roy Frostig, Rong Ge 외 2명
arXiv (Cornell University)
|
2015
|
68 회 인용
A Block Successive Upper Bound Minimization Method of Multipliers for Linearly Constrained Convex Optimization
Mingyi Hong, Tsung‐Hui Chang 외 4명
arXiv (Cornell University)
|
2014
|
67 회 인용
A Hybrid Method for Traffic Flow Forecasting Using Multimodal Deep Learning
Shengdong Du, Tianrui Li 외 2명
arXiv (Cornell University)
|
2018
|
67 회 인용
A Large Scale Event-based Detection Dataset for Automotive
Pierre de Tournemire, Davide Oscar Nitti 외 3명
arXiv (Cornell University)
|
2020
|
67 회 인용
A robust monolithic solver for phase-field fracture integrated with fracture energy based arc-length method and under-relaxation
Ritukesh Bharali, Somdatta Goswami 외 2명
arXiv (Cornell University)
|
2021
|
67 회 인용
An open-source finite volume toolbox for solid mechanics and fluid-solid interaction simulations
Philip Cardiff, Aleksandar Karač 외 5명
arXiv (Cornell University)
|
2018
|
67 회 인용
Controllability, Observability, Realizability, and Stability of Dynamic Linear Systems
John M. Davis, Ian Gravagne 외 2명
ArXiv.org
|
2009
|
67 회 인용
Deep Dynamics Models for Learning Dexterous Manipulation
Anusha Nagabandi, Kurt Konoglie 외 2명
arXiv (Cornell University)
|
2019
|
67 회 인용
Fixing the train-test resolution discrepancy: FixEfficientNet
Hugo Touvron, Andrea Vedaldi 외 2명
arXiv (Cornell University)
|
2020
|
67 회 인용
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