Results 111 to 120 of about 320,698 (271)

Linear decision trees, subspace arrangements and Möbius functions [PDF]

, 1994
Anders Björner, László Lovász
openalex   +1 more source

Bioinspired Design of Isotropic Lattices with Tunable and Controllable Anisotropy

Advanced Engineering Materials, EarlyView.
This study introduces nested isotropic lattices, integrating architectural elements like nesting orders and orientations inspired by bioarchitectures. The design enables tunable anisotropy across nine mono‐nest and twenty multi‐nest lattices with 252 parametric variations, demonstrating transitions from shear‐ to tensile‐compression‐dominant behaviors ...
Ramalingaiah Boda, Biranchi Panda, Shanmugam Kumar   +2 more
wiley   +1 more source

Exploiting Geometric Frustration in Coupled von Mises Trusses to Program Multifunctional Mechanical Metamaterials

Advanced Engineering Materials, EarlyView.
Mechanical metamaterials capable of compressive stiffness tunability, shape morphing, and post‐fabrication modularity. Herein, the 3D unit cell design is based on an assembly of bistable von Mises trusses that exhibit a switch in compressive stiffness and resting height from one stable state to the other.
Yannis Liétard, Daniel Therriault, David Melancon   +2 more
wiley   +1 more source

Learning decision trees using the Fourier spectrum [PDF]

, 1991
Eyal Kushilevitz, Yishay Mansour
openalex   +1 more source

Nonlinearity and Domain Switching in a 3D‐Printed Architected Ferroelectric

Advanced Engineering Materials, EarlyView.
By combining functional properties measurement with in situ 2D X‐ray microdiffraction experiments, it is shown that nonlinear polarization and strain responses of a 3D‐printed architected ferroelectric are driven by localized progression of domain switching, which depends on nonuniform electric‐field distribution as well as evolving stress fields.
Abhijit Pramanick, Chaimae Babori, Frédéric Albertini, Frederik Holm Gjørup, Aurore Brézard Oudot, Ashutosh Kumar, Mads Ry Vogel Jørgensen, Laurent Daniel   +7 more
wiley   +1 more source

Beyond Global Mechanical Properties: Bioinspired Triply‐Periodic Minimal Surface Cellular Solids for Efficient Mechanical Design and Optimization

Advanced Engineering Materials, EarlyView.
Using novel probe‐based metrics, this study evaluates lattice structures on criteria critical to cellular solid optimization. Triply‐periodic minimal surface (TPMS) lattices outperform other lattices, offering more predictable mechanical behavior in complex design spaces and, as a result, higher performance in optimized models.
Firas Breish, Christian Hamm, Reinhold Kienzler   +2 more
wiley   +1 more source

Learning kμ decision trees on the uniform distribution [PDF]

, 1993
Thomas R. Hancock
openalex   +1 more source

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

Advanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi, Saeed Kamarian, Mahdi Bodaghi, Saeed Saber‐Samandari, Jung‐il Song   +4 more
wiley   +1 more source

Optimizing Interpretable Decision Tree Policies for Reinforcement Learning [PDF]

arXiv
Reinforcement learning techniques leveraging deep learning have made tremendous progress in recent years. However, the complexity of neural networks prevents practitioners from understanding their behavior. Decision trees have gained increased attention in supervised learning for their inherent interpretability, enabling modelers to understand the ...
arxiv  

Simulating medical decision trees with random variable parameters [PDF]

, 1992
Robert S. Dittus, Robert W. Klein
openalex   +1 more source