Results 41 to 50 of about 59,339 (255)
, 2010 Recently, applying the novel data mining techniques for evaluating enterprise financial distress has received much research alternation. Support Vector Machine (SVM) and back propagation neural (BPN) network has been applied successfully in many areas ...
Lee, Ming-Chang, To, Chang
core +1 more source
Embedded CRISPRi Enhances Gene‐Silencing Efficiency in Drosophila
Advanced Science, EarlyView.Current CRISPR interference (CRISPRi) technology in Drosophila has limited efficiency. This study introduces the emCRISPRi platform, which significantly enhances transcriptional silencing efficacy by embedding inhibitory domains within the dCas9 architecture.
Pengchong Fu +7 more
wiley +1 more source
Predicting real-time roadside CO and NO2 concentrations using neural networks [PDF]
, 2008 The main aim of this paper is to develop a model based on neural network (NN) theory to estimate real-time roadside CO and $hbox{NO}_{2}$ concentrations using traffic and meteorological condition data.
Bell, M.C., Chen, H., Zito, P.
core +1 more source
Advanced Science, EarlyView.A brain‐adhesive sensor (B‐Sensor) was developed by integrating a self‐healing biodegradable elastomer, a tissue‐adhesive hydrogel, and molybdenum electrodes. The B‐Sensor adheres to brain tissue, conforms to cortical curvatures, and maintains stable electrical performance over the intended period for reliable recording of spatiotemporal brain activity
Heewon Choi +8 more
wiley +1 more source
Actuators, 2023 Modeling errors and external disturbances have significant impacts on the control accuracy of robotic arm trajectory tracking. To address this issue, this paper proposes a novel method, the neural network terminal sliding mode control (ALSSA-RBFTSM ...
Jianguo Duan +3 more
doaj +1 more source
Similarity networks for classification: a case study in the Horse Colic problem [PDF]
, 2014 This paper develops a two-layer neural network in which the neuron model computes a user-defined similarity function between inputs and weights. The neuron transfer function is formed by composition of an adapted logistic function with the mean of the ...
Belanche Muñoz, Luis Antonio +1 more
core +1 more source
Advanced Science, EarlyView.Fabrication‐induced variability remains a fundamental limitation in the scalable design of soft biomaterials. In this work, a stochastic machine learning approach based on Gaussian processes modeling is employed to establish quantitative links between biofabrication parameters, material properties, and their intrinsic variability.
Maria Alexaki +8 more
wiley +1 more source
IET Networks, EarlyView., 2022 Abstract Sensor technology advancements have provided a viable solution to fight COVID and to develop healthcare systems based on Internet of Things (IoTs). In this study, image processing and Artificial Intelligence (AI) are used to improve the IoT framework.
Noor M Allayla +2 more
wiley +1 more source
Application of a radial basis function neural network for diagnosis of diabetes mellitus [PDF]
, 2006 In this article an attempt is made to study the applicability of a general purpose, supervised feed forward neural network with one hidden layer, namely. Radial Basis Function (RBF) neural network.
Anitha, S, Venkatesan, P
core
Customizing Tactile Sensors via Machine Learning‐Driven Inverse Design
Advanced Science, EarlyView.ABSTRACT Replicating the sophisticated sense of touch in artificial systems requires tactile sensors with precisely tailored properties. However, manually navigating the complex microstructure‐property relationship results in inefficient and suboptimal designs.
Baocheng Wang +15 more
wiley +1 more source