Results 81 to 90 of about 35,631 (308)
Radial basis function neural networks (RBFs) are prime candidates for pattern classification and regression and have been used extensively in classical machine learning applications.
Mohammadreza Amirian +1 more
doaj +1 more source
A Dual‐Functional Electrolyte Additive for Highly Reversible Zinc‐Ion Batteries
This study introduces tetrabutylammonium bromide (TBAB) as a dual‐function additive for aqueous zinc‐ion batteries. TBAB disrupts the hydrogen‐bond network of water while TBA+ adsorbs on Zn to improve interfacial wettability and regulate Zn2+ flux, resulting in suppressed dendrite growth and parasitic reactions. This synergy extended the lifespan of Zn|
Shirui Zhang +9 more
wiley +1 more source
Advances in Sustainable and Wearable Textile Based Soft Robotics
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas +6 more
wiley +1 more source
Randomized Modality Mixing with Patchwise RBF Networks for Robust Multimodal Pain Recognition
Pain recognition based on multimodal physiological signals remains a challenge, not only because of the limited training data, but also due to the varying responses of individuals.
Mehmet Erdal +3 more
doaj +1 more source
Conformal Metallosaccharide Hybrid Films for Protecting Wood Surfaces From Environmental Damage
Ti‐ribose hybrid films fabricated by molecular layer deposition form a conformal and uniform coating on wood surfaces, which provides water repellence, dimensional stability, and resistance to acidic and alkaline environments, while preserving the natural appearance.
Wenwen Wang +7 more
wiley +1 more source
A high‐Zn2+‐transference hydrogel electrolyte of ex‐PDADAM is developed via anion exchange at quaternary ammonium sites, achieving high Zn2+ transference number (0.86), ionic conductivity (8.10 mS cm−1), and toughness (51.25 MJ m−3). Symmetric cells are operated stably for over 2000 h, while flexible pouch cells retain 90.9% capacity after 300 cycles ...
Jung Woo Hong +8 more
wiley +1 more source
Power load forecasting using extended normalised radial basis function networks
Neural networks are currently finding practical applications, ranging from 'soft' regulatory control in consumer products, to the accurate modelling of nonlinear systems.
Lygouras, J.N. +2 more
core +1 more source
Review of Thermally Activated Twisted Coiled Polymer Actuators: A Materials Science Perspective
Thermally activated twisted and coiled polymer actuators (TCPAs) combine lightweight design, large deformation, and scalable fabrication for soft robotic and wearable applications. This review connects polymer structure, processing history, helix geometry, and thermomechanical characterization to actuator performance, highlighting current challenges in
Nadja Schenk +3 more
wiley +1 more source
Radial basis function based meshless methods for fluid flow problems
This thesis is concerned with the development of meshless methods using radial basis functions for solving fluid flow problems. The advantage of meshless methods over traditional mesh-based methods is that they make use of a scattered set of collocation ...
Chinchapatnam, Phani P. +1 more
core
Carbon Monoxide Concentration Forecasting Using' Hybrid Radial Basis Function Network. [PDF]
Neural network has been renown for its applications in many fields of research especially related to pattern recognition. In this paper, Hybrid Radial Basis Function (HRBF) Neural Network will be exploited to carry out the Carbon Monoxide ...
Saad, Abdul Rahman +3 more
core

