Skip to main content
누빈트
에이전트
더 알아보기
요금제
회사 소개
KO
Home
논문 리뷰
Engineering
Engineering 논문 리뷰
Engineering 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
전체
Computer Science
Mathematics
Physics and Astronomy
Engineering
Materials Science
Chemistry
Chemical Engineering
Earth and Planetary Sciences
Environmental Science
Energy
Biochemistry, Genetics and Molecular Biology
Neuroscience
Immunology and Microbiology
Agricultural and Biological Sciences
Medicine
Pharmacology, Toxicology and Pharmaceutics
Health Professions
Economics, Econometrics and Finance
Business, Management and Accounting
Decision Sciences
Social Sciences
Psychology
Arts and Humanities
필터
9999+개의 결과
Spatial-Temporal Transformer Networks for Traffic Flow Forecasting
Mingxing Xu, Wenrui Dai 외 5명
arXiv (Cornell University)
|
2020
|
265 회 인용
Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction
Huaxiu Yao, Fei Wu 외 7명
arXiv (Cornell University)
|
2018
|
260 회 인용
Multi-Label Prediction via Compressed Sensing
Daniel Hsu, Sham M. Kakade 외 2명
ArXiv.org
|
2009
|
260 회 인용
DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications
Ahmed Alkhateeb
arXiv (Cornell University)
|
2019
|
259 회 인용
Pruning neural networks without any data by iteratively conserving synaptic flow
Hidenori Tanaka, Daniel Kunin 외 2명
arXiv (Cornell University)
|
2020
|
256 회 인용
Truncated Power Method for Sparse Eigenvalue Problems
Xiao–Tong Yuan, Tong Zhang
arXiv (Cornell University)
|
2011
|
254 회 인용
Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework
Yuankai Wu, Huachun Tan
arXiv (Cornell University)
|
2016
|
251 회 인용
IntentNet: Learning to Predict Intention from Raw Sensor Data
Sergio Casas, Wenjie Luo 외 1명
arXiv (Cornell University)
|
2021
|
250 회 인용
Towards Smart and Reconfigurable Environment: Intelligent Reflecting Surface Aided Wireless Network
Qingqing Wu, Rui Zhang
arXiv (Cornell University)
|
2019
|
250 회 인용
Road Damage Detection Using Deep Neural Networks with Images Captured Through a Smartphone
Hiroya Maeda, Yoshihide Sekimoto 외 3명
arXiv (Cornell University)
|
2018
|
248 회 인용
10
11
12
13
14
