Results 121 to 130 of about 1,355,935 (279)
ABSTRACT The high accuracy in surface‐enhanced Raman scattering‐lateral flow immunoassays (SERS–LFIAs) is critical for reliable point‐of‐care testing (POCT) in clinical diagnostics. Conventional approaches are often affected by sampling variability and uneven distribution of immunoprobes, leading to unreliable signal fluctuations.
Shuai Zhao +9 more
wiley +1 more source
ABSTRACT Safe and reliable mobility over different kinds of ground is important for planetary rovers on space missions. Since terrain changes might affect the mobility of the rover, energy consumption, and safety, detecting the type of ground in real‐time is vital.
Md Masrul Khan +7 more
wiley +1 more source
The radial basis function architecture and the multilayer perceptron architecture are very different approaches to neural networks in theory and practice.
László Kovács
doaj +1 more source
Hiding & Retrieval of Encrypted Data in an Image Using XOR Based on RBF and GRNN Networks and Comparison between their Performance [PDF]
In this paper an image is hidden in another image by applying logical XOR operation to the two least significant bit of each byte of the cover and two bits of the secret message to produce the stego-cover image which is used as an input with the cover to
doaj +1 more source
Retracted: Simulation and Prediction of Fungal Community Evolution Based on RBF Neural Network. [PDF]
Methods In Medicine CAM.
europepmc +1 more source
Vector Field‐Based Collision‐Free Navigation in Tunnel‐Like Environments
ABSTRACT Tunnel‐like environments, renowned for their vast scale, confined spaces, and limited visibility, present significant challenges for autonomous robot navigation. This study addresses the critical issue of guiding robots through such environments while ensuring collision‐free navigation and maintaining a specified safety margin from both tunnel
Bao Jianjun +5 more
wiley +1 more source
ABSTRACT Accurately predicting line loss rates is crucial for effective management in distribution networks, particularly for short‐term multihorizon forecasts ranging from 1 hour to 1 week. In this study, we propose attention‐GCN–LSTM, a novel method that integrates graph convolutional networks (GCN), long short‐term memory (LSTM) and a three‐level ...
Jie Liu +4 more
wiley +1 more source
A maximum power point tracking control strategy for an affine nonlinear constant displacement pump-variable hydraulic motor actuation system with parameter uncertainty, used within an offshore hydraulic wind turbine, is studied in this paper.
Qinwei Wang +7 more
doaj +1 more source
Retracted: Signal Recognition Based on APSO-RBF Neural Network to Assist Athlete's Competitive Ability Evaluation. [PDF]
Intelligence And Neuroscience C.
europepmc +1 more source
Integrated Learning‐Based Ageing Assessment of Silicone Rubber
ABSTRACT The surface ageing of silicone rubber composite insulators, widely used in power systems, poses significant challenges. This study integrates Fourier transform infrared (FTIR) spectroscopy with machine learning to evaluate ageing states and explore underlying mechanisms under various environmental conditions.
Xinzhe Yu +7 more
wiley +1 more source

