Results 51 to 60 of about 30,328 (257)

Intrinsic Photoactive Star ZnPc–Poly(glutamate) Nanoplatforms for Multimodal Glioblastoma Therapy and Brain‐Targeted Delivery

Advanced Functional Materials, EarlyView.
An intrinsic photoactive star‐shaped zinc phtalocyanine‐poly(L‐glutamic acid) (ZnPc‐PGA) nanoplatform for multimodal glioblastoma (GBM) therapy and brain‐targeted elivery. A ZnPc‐PGA‐based multifunctional theranostic nanocarrier platform enables image‐guided, multimodal GBM therapy. ZnPc‐PGA nanocarriers support the integration of fluorescence imaging,
Amina Benaicha‐Fernández, Teodora Ranđelović, Ana Armiñán, Víctor Sebastián, Manuel Fuentes, Cristián Huck‐Iriart, Esther Masiá, Paula Carrascosa‐Marco, Pablo Juanes‐Velasco, Snežana Đorđević, Clara Bayona, Ignacio Ochoa, Maria Medel, Inmaculada Conejos‐Sánchez, María J. Vicent   +14 more
wiley   +1 more source

Advances in Sustainable and Wearable Textile Based Soft Robotics

Advanced Functional Materials, EarlyView.
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, Marzia Dulal, Sophia K. Novoselov, Victoria K. Novoselov, Kostya S. Novoselov, Shaila Afroj, Nazmul Karim   +6 more
wiley   +1 more source

Modeling Marine Electromagnetic Survey with Radial Basis Function Networks

Journal of ICT Research and Applications, 2014
A marine electromagnetic survey is an engineering endeavour to discover the location and dimension of a hydrocarbon layer under an ocean floor. In this kind of survey, an array of electric and magnetic receivers are located on the sea floor and record ...
Agus Arif, Vijanth S. Asirvadam, M.N. Karsiti   +2 more
doaj  

Noise Reduction Technique for Images using Radial Basis Function Neural Networks [PDF]

Mehran University Research Journal of Engineering and Technology, 2014
This paper presents a NN (Neural Network) based model for reducing the noise from images. This is a RBF (Radial Basis Function) network which is used to reduce the effect of noise and blurring from the captured images. The proposed network calculates the
Sander Ali Khowaja, Syed Zafi Sherhan Shah, Muhammad Usman Memon   +2 more
doaj  

From Photoalignment to Structured Light: Liquid Crystal Platforms for Beam Shaping and Complex Wavefronts

Advanced Functional Materials, EarlyView.
Photoaligned and photopatterned liquid crystal platforms provide programmable control of optical phase, polarization, and spin‐orbit interactions, enabling compact generation of structured light and complex wavefronts. This review highlights how tailored molecular orientations transform simple beams into designed optical fields, opening versatile ...
Le Zhou, Tingjun Zhong, Sijie Liu, Pouya Nosratkhah, Ke Xu, Yuzhen Zhao, Kristiaan Neyts   +6 more
wiley   +1 more source

On Comparison between Radial Basis Function and Wavelet Basis Functions Neural Networks

Ibn Al-Haitham Journal for Pure and Applied Sciences, 2017
      In this paper we study and design two feed forward neural networks. The first approach uses radial basis function network and second approach uses wavelet basis function network to approximate the mapping from the input to the output space.
L.N.M. Tawfiq, T.A.M. Rashid
doaj  

Randomized Modality Mixing with Patchwise RBF Networks for Robust Multimodal Pain Recognition

Computers
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, Sascha Gruss, Steffen Walter, Friedhelm Schwenker   +3 more
doaj   +1 more source

The use of radial basis function and non-linear autoregressive exogenous neural networks to forecast multi-step ahead of time flood water level

IJAIN (International Journal of Advances in Intelligent Informatics), 2019
Many different Artificial Neural Networks (ANN) models of flood have been developed for forecast updating. However, the model performance, and error prediction in which forecast outputs are adjusted directly based on models calibrated to the time series ...
Amrul Faruq, Shahrum Shah Abdullah, Aminaton Marto, Mohd Anuar Abu Bakar, Shamsul Faisal Mohd Hussein, Che Munira Che Razali   +5 more
doaj   +1 more source

Radial Basis Function Networks for Convolutional Neural Networks to Learn Similarity Distance Metric and Improve Interpretability

IEEE Access, 2020
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, Friedhelm Schwenker   +1 more
doaj   +1 more source

Hierarchical Primary‐Secondary Coordination Synchronizes Ion Flux and Sulfur Redox in Solid Polymer Electrolytes

Advanced Functional Materials, EarlyView.
Hierarchical coordination engineering redistributes Li+ from anion‐dominated pairing toward polymer‐mediated binding. Strong primary sites promote salt dissociation, while distributed secondary sites sustain dynamic hopping pathways. This coordination landscape couples ion flux with polysulfide conversion, suppresses transport‐conversion decoupling ...
Zhong‐Wei Zheng, Jing‐Yu Li, Meng‐Che Tsai, Tsung‐I. Yeh, Wei‐Ming Huang, Mohamed Gamal Mohamed, Shiao‐Wei Kuo, Bing‐Joe Hwang, Yun‐Sheng Ye   +8 more
wiley   +1 more source