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Papers matching “statistical modeling” 16

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Stochastic evolution elasto-plastic modeling of a metallic glass
2024 arXiv (Cornell University) preprint Engineering Metallic Glasses and Amorphous Alloys Open access

Bin Xu, Zhao Wu, Jiayin Lü, Michael D. Shields, Chris H. Rycroft, Franz Bamer, +1 more

0

citations
Leverage Multi-source Traffic Demand Data Fusion with Transformer Model for Urban Parking Prediction
2024 arXiv (Cornell University) preprint Engineering Smart Parking Systems Research Open access

Yin Huang, Yongqi Dong, Youhua Tang, LI Li

2

citations
Effect of Thermo-Mechanical Coupling on the Anisotropic Behavior of rock under True Triaxial Conditions: Constitutive Description and Parameter Analysis
2026 SSRN Electronic Journal preprint Engineering Rock Mechanics and Modeling Open access

Qijian Chen, Youliang Chen, Huidong Tong, Peng Xiao, S Q G Wang, Rafig Azzam

0

citations
3D Shape Generation with Grid-based Implicit Functions
2021 arXiv (Cornell University) preprint Engineering 3D Shape Modeling and Analysis Open access

Moritz Ibing, Isaak Lim, Leif P. Kobbelt

0

citations
Evaluating the Scalability of Binary and Ternary CNN Workloads on RRAM-based Compute-in-Memory Accelerators
2025 arXiv (Cornell University) preprint Engineering Advanced Memory and Neural Computing Open access

José Cubero-Cascante, Rebecca Pelke, Noah Flohr, Arunkumar M. Vaidyanathan, Rainer Leupers, Jan Moritz Joseph

0

citations
ML-SAFT: A machine learning framework for PCP-SAFT parameter prediction
2023 ChemRxiv preprint Engineering Phase Equilibria and Thermodynamics Open access

Kobi Felton, Lukas Rasßpe-Lange, Jan G. Rittig, Kai O. Leonhard, Alexander Mitsos, Julian Meyer‐Kirschner, +2 more

6

citations
Automated and Connected Driving: State-of-the-Art and Implications for Future Scenario Analysis
2024 arXiv (Cornell University) preprint Engineering Transportation and Mobility Innovations Open access

Edgar Jungblut, Thomas Grube, J.G.A. Linssen, Detlef Stolten

1

citations
Uncertainty quantification for learned ISTA
2023 arXiv (Cornell University) preprint Engineering Sparse and Compressive Sensing Techniques Open access

Frederik Hoppe, Claudio Mayrink Verdun, Felix Krahmer, Hannah Laus, Holger Rauhut

0

citations
Distributionally Robust Stochastic MPC under Disturbance-Affine Feedback Policies
2026 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Xu Chen, Lorenz Dörschel

0

citations
From Proper Scoring Rules and Edge Biases to Mumford-Shah Models: Robust Unsupervised Hyperspectral Image Segmentation
2026 arXiv (Cornell University) preprint Engineering Remote-Sensing Image Classification Open access

Fabian Conrad, Benjamin Berkels

0

citations
More is Less: Inducing Sparsity via Overparameterization
2021 arXiv (Cornell University) preprint Engineering Sparse and Compressive Sensing Techniques Open access

Hung-Hsu Chou, Johannes Maly, Holger Rauhut

1

citations
Drag coefficient for irregularly shaped grains: rotational dependence at high Reynolds numbers
2024 arXiv (Cornell University) preprint Engineering Particle Dynamics in Fluid Flows Open access

Álvaro Vergara, Deheng Wei, Raúl Fuentes

0

citations
Deep Learning and Conventional Machine Learning for Image-Based in-Situ Fault Detection During Laser Welding: A Comparative Study
2021 Preprints.org preprint Engineering Industrial Vision Systems and Defect Detection Open access

Christian Knaak, Moritz Kröger, Frederic Schulze, Arnold Gillner

4

citations
On the Effect of Donor Strength on the Photoluminescence Performance in Mono-substituted N-Donor Triarylmethyl Radicals
2024 ChemRxiv preprint Engineering Organic Light-Emitting Diodes Research Open access

Mona E. Arnold, Philipp Thielert, Francisca de Almeida Neno Bartley, Julia Zolg, Florian Bartsch, Ludwig A. Kibler, +3 more

2

citations
Effect of programming schemes on short-term instability in 1T1R configuration
2024 preprint Engineering Advanced Memory and Neural Computing Open access

Xiaohua Liu, Nils Kopperberg, Oliver Solfronk, Susanne Hoffmann‐Eifert, Stephan Menzel, Rainer M. Waser, +1 more

0

citations
Zero-Shot Parameter Learning of Robot Dynamics Using Bayesian Statistics and Prior Knowledge
2025 arXiv (Cornell University) preprint Engineering Robotic Mechanisms and Dynamics Open access

Carsten Reiners, Minh Trinh, Lukas Grundel, Sven Tauchmann, David Bitterolf, Oliver Petrović, +1 more

0

citations

16 results