Skip to main content
Nubint
Agents
Resources
Pricing
About
EN
Home
Paper Reviews
Engineering
Engineering Paper Reviews
AI-generated reviews of key Engineering papers, structured into motivation, method, and results.
All
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
Filter
9999+ results
Nonlinear Traffic Prediction as a Matrix Completion Problem with Ensemble Learning
Wenqing Li, Chuhan Yang, +1
arXiv (Cornell University)
|
2020
|
22 citations
Numerical Investigation of Effects of Compound Angle and Length to Diameter Ratio on Adiabatic Film Cooling Effectiveness
Vidit Sharma, Ashish Garg
arXiv (Cornell University)
|
2014
|
22 citations
O-Net: A Convolutional Neural Network for Quantitative Photoacoustic Image Segmentation and Oximetry
Geoffrey P. Luke, Kevin Hoffer-Hawlik, +2
arXiv (Cornell University)
|
2019
|
22 citations
On origami embeddings of flat tori
Takashi Tsuboi
arXiv (Cornell University)
|
2020
|
22 citations
On The Critical Reynolds Number For Transition From Laminar To Turbulent Flow
Khanh Tuoc Trịnh
arXiv (Cornell University)
|
2010
|
22 citations
On the o(1/k) Convergence and Parallelization of the Alternating Direction Method of Multipliers
Wei Deng, Ming‐Jun Lai, +1
arXiv (Cornell University)
|
2013
|
22 citations
On the Optimal Number of Cooperative Base Stations in Network MIMO Systems
Jakob Hoydis, Mari Kobayashi, +1
arXiv (Cornell University)
|
2010
|
22 citations
On the Universality of Rotation Equivariant Point Cloud Networks
Nadav Dym, Haggai Maron
arXiv (Cornell University)
|
2020
|
22 citations
On the Wavefunctional for Two Heavy Color Sources in Yang-Mills Theory
Peter E. Haagensen, K. Johnson
ArXiv.org
|
1997
|
22 citations
Opportunities in Machine Learning for Particle Accelerators
Auralee Edelen, Christopher Mayes, +11
arXiv (Cornell University)
|
2018
|
22 citations
343
344
345
346
347
