Results 171 to 180 of about 2,284,186 (283)
The impact of defects type and location on the integrity test results of RC piles in sand. [PDF]
Samaan RM +3 more
europepmc +1 more source
Interpretable Short‐Term Electric Load Forecasting
A temporal fusion transformer is implemented to generate day‐ahead forecasts of the hourly electrical load of a departmentbuilding at an Italian university. A forecasting performance improvement of more than 25% compared with established benchmark models and a provision of inherent robust interpretability insights reveal the potential of this model for
Alessandro Nicola +6 more
wiley +1 more source
Physics-informed AI framework for multiscale design, discovery, and optimization of polymer nanocomposite microstructures using neural operators. [PDF]
Lakshmaiya N +6 more
europepmc +1 more source
A hybrid mobile robot with a modular Variable‐Stiffness Bridge transitions between a rigid locomotion platform and a flexible, shape‐conforming body. By enclosing objects within its deformable structure rather than relying on dedicated end effectors, the robot achieves orientation‐regulated planar transport, with conformal contact quality shown to ...
Luiza Labazanova +5 more
wiley +1 more source
Shear-Stiffening Damping Ionogels Enabled by the Synergy of Dynamic Bonds and Steric Hindrance. [PDF]
Zhang S +7 more
europepmc +1 more source
Inspired by the Mexican jumping bean, this study presents a centimeter‐scale, electronics‐free robot that merges principles from both the animal and plant kingdoms. A thermo‐responsive actuator mimicking larval motion, enclosed within a uniquely shaped plant‐seed‐inspired shell, generates jumping, rolling, flipping, sliding, and climbing through ...
Ragesh Chellattoan +3 more
wiley +1 more source
Integrated 3D modeling of train-induced ground vibrations considering track irregularities and wave impeding barrier performance under different subgrade stiffness conditions. [PDF]
Hussein HH, Mhanna M.
europepmc +1 more source
This study introduces Cellular Material Network (CM‐Net), a pioneering machine learning architecture integrating physical information, to predict the mechanical properties of cellular materials. Comprehensive validation through simulations and experiments demonstrates its accuracy in predicting nonlinear behaviors, including initial peak compression ...
Sicong Zhou +5 more
wiley +1 more source
Far-Infrared Hyperbolic Phonon-Polaritons in Zirconium Disulfide. [PDF]
Saha S +7 more
europepmc +1 more source
Inspired by human touch, a tendon‐driven soft robotic finger combines multimodal tactile sensing and deep learning to simultaneously perceive texture and softness on deformable surfaces. A CNN‐LSTM model fuses pressure, accelerometer, and gyroscope signals to accurately classify material properties, achieving up to 95.4% texture and 97.0% softness ...
Gorkem Anil Al +3 more
wiley +1 more source

