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Engineering Paper Reviews
AI-generated reviews of key Engineering papers, structured into motivation, method, and results.
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9999+ results
Data-Driven Stochastic Models and Policies for Energy Harvesting Sensor Communications
Meng‐Lin Ku, Yan Chen, +1
arXiv (Cornell University)
|
2014
|
17 citations
Deep Denoising Neural Network Assisted Compressive Channel Estimation for mmWave Intelligent Reflecting Surfaces
Shicong Liu, Zhen Gao, +3
arXiv (Cornell University)
|
2020
|
17 citations
Deep Learning for Communication over Dispersive Nonlinear Channels: Performance and Comparison with Classical Digital Signal Processing
Boris Karanov, Gabriele Liga, +4
arXiv (Cornell University)
|
2019
|
17 citations
Deep learning models for predictive maintenance: a survey, comparison, challenges and prospect
Oscar Serradilla, Ekhi Zugasti, +1
arXiv (Cornell University)
|
2020
|
17 citations
Deep Neural Network Inverse Design of Integrated Nanophotonic Devices
Mohammad H. Tahersima, Keisuke Kojima, +5
arXiv (Cornell University)
|
2018
|
17 citations
Deep Projective 3D Semantic Segmentation
Felix Järemo Lawin, Martin Danelljan, +4
arXiv (Cornell University)
|
2017
|
17 citations
Deep Reinforcement Learning and Transportation Research: A Comprehensive Review
Nahid Parvez Farazi, Tanvir Ahamed, +2
arXiv (Cornell University)
|
2020
|
17 citations
DeepNVM++: Cross-Layer Modeling and Optimization Framework of Non-Volatile Memories for Deep Learning
Ahmet Inci, Mehmet Meric Isgenc, +1
arXiv (Cornell University)
|
2020
|
17 citations
DeepSphere: a graph-based spherical CNN
Michaël Defferrard, Martino Milani, +2
arXiv (Cornell University)
|
2020
|
17 citations
Delay Reduction via Lagrange Multipliers in Stochastic Network Optimization
Longbo Huang, Michael J. Neely
ArXiv.org
|
2009
|
17 citations
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