Results 91 to 100 of about 367 (238)

Icephobic Gradient Polymer Coatings Coupled with Electromechanical De‐icing Systems: A Promising Ice Repellent Hybrid System

Advanced Engineering Materials, EarlyView.
A hybrid system for de‐icing made of gradient polymer coatings, deposited on aluminum coupled with an electromechanical system, is demonstrated as an effective and durable strategy for reducing drastically ice adhesion. The system is capable of detaching ice blocks over the coating in less than 1 s, regardless of the ice type and covered area ...
Gabriel Hernández Rodríguez, Giulia Gastaldo, Luca Stendardo, Younes Rafik, Jason Pothin, Marc Budinger, Carlo Antonini, Valérie Pommier‐Budinger, Anna Maria Coclite   +8 more
wiley   +1 more source

Establishment and Validation of a Machine Learning-Based Prediction Model for Termination of Pregnancy via Cesarean Section

International Journal of General Medicine, 2023
Rui Zhang,1 Weixuan Sheng,2 Feiran Liu,1 Jin Zhang,1 Wenpei Bai1 1Department of Obstetrics and Gynaecology, Beijing Shijitan Hospital, Capital Medical University, Beijing, People’s Republic of China; 2Department of Anesthesiology, Beijing Shijitan ...
Zhang R, Sheng W, Liu F, Zhang J, Bai W
doaj  

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

Explainable extreme gradient boosting as a machine learning tool for discrimination of the geographical origin of chili peppers using laser ablation-inductively coupled plasma mass spectrometry, X-ray fluorescence, and near-infrared spectroscopy

Journal of Agriculture and Food Research
The spectroscopic discrimination of chili pepper samples according to geographical origin was executed using analytical techniques coupled with machine learning.
Seongsoo Jeong, Yong-kyoung Kim, Suel Hye Hur, Hyojoo Bang, HoJin Kim, Hoeil Chung   +5 more
doaj  

The variance for partial match retrievals in $k$-dimensional bucket digital trees [PDF]

, 2010
Michael Fuchs
openalex   +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

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

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

Pattern Recognition of Partial Discharge Faults in Switchgear Using a Back Propagation Neural Network Optimized by an Improved Mantis Search Algorithm

Sensors
The dependable functioning of switchgear is essential to maintain the stability of power supply systems. Partial discharge (PD) is a critical phenomenon affecting the insulation of switchgear, potentially leading to equipment failure and accidents.
Zhangjun Fei, Yiying Li, Shiyou Yang
doaj   +1 more source