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
Adaptive Transit Design: Optimizing Fixed and Demand Responsive Multi-Modal Transportation via Continuous Approximation
Giovanni Calabro', Andrea Araldo 외 4명
arXiv (Cornell University)
|
2021
|
15 회 인용
Advancing Spiking Neural Networks towards Deep Residual Learning
Yifan Hu, Lei Deng 외 3명
arXiv (Cornell University)
|
2021
|
15 회 인용
Aerial Intelligent Reflecting Surface: Joint Placement and Passive Beamforming Design with 3D Beam Flattening
Haiquan Lu, Yong Zeng 외 2명
arXiv (Cornell University)
|
2020
|
15 회 인용
Agent-based Simulation Model and Deep Learning Techniques to Evaluate and Predict Transportation Trends around COVID-19
Ding Wang, Fan Zuo 외 12명
arXiv (Cornell University)
|
2020
|
15 회 인용
AI-Augmented Multi Function Radar Engineering with Digital Twin: Towards Proactivity
Mathieu Klein, Thomas Carpentier 외 8명
arXiv (Cornell University)
|
2020
|
15 회 인용
AI-Based Autonomous Line Flow Control via Topology Adjustment for Maximizing Time-Series ATCs
Tu Lan, Jiajun Duan 외 5명
arXiv (Cornell University)
|
2019
|
15 회 인용
ALTO: A Large-Scale Dataset for UAV Visual Place Recognition and Localization
Iván Cisneros, Peng Yin 외 3명
arXiv (Cornell University)
|
2022
|
15 회 인용
An Empirical Experiment on Deep Learning Models for Predicting Traffic Data
Hyunwook Lee, Cheonbok Park 외 4명
arXiv (Cornell University)
|
2021
|
15 회 인용
An entrainment-based model for annular wakes, with applications to airborne wind energy
Sam Kaufman‐Martin, Nicholas D. Naclerio 외 2명
arXiv (Cornell University)
|
2020
|
15 회 인용
An Improved Gap-Dependency Analysis of the Noisy Power Method
Maria Florina Balcan, Simon S. Du 외 2명
arXiv (Cornell University)
|
2016
|
15 회 인용
517
518
519
520
521
