Results 31 to 40 of about 14,713 (239)

Enabling image optimisation and artificial intelligence technologies for better Internet of Things framework to predict COVID

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, Farah Nazar Ibraheem, Refed Adnan Jaleel   +2 more
wiley   +1 more source

A new optimized GA-RBF neural network algorithm. [PDF]

Comput Intell Neurosci, 2014
When confronting the complex problems, radial basis function (RBF) neural network has the advantages of adaptive and self-learning ability, but it is difficult to determine the number of hidden layer neurons, and the weights learning ability from hidden layer to the output layer is low; these deficiencies easily lead to decreasing learning ability and ...
Jia W, Zhao D, Shen T, Su C, Hu C, Zhao Y.   +5 more
europepmc   +5 more sources

Convergent Decomposition Techniques for Training RBF Neural Networks [PDF]

Neural Computation, 2001
In this article we define globally convergent decomposition algorithms for supervised training of generalized radial basis function neural networks. First, we consider training algorithms based on the two-block decomposition of the network parameters into the vector of weights and the vector of centers.
C. BUZZI, L. GRIPPO, SCIANDRONE, MARCO
openaire   +6 more sources

Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot

Advanced Robotics Research, EarlyView.
A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini, Elena Adelucci, Stefano Scatigna, Lorenzo Pugi, Alice Bruni, Benedetta Carotenuto, Chiara Pecini, Filippo Cavallo   +7 more
wiley   +1 more source

Short-term prediction of atmospheric concentrations of ground-level ozone in Karaj using artificial neural network [PDF]

Pollution, 2016
Air pollution is a challenging issue in some of the large cities in developing countries. Air quality monitoring and interpretation of data are two important factors for air quality management in urban areas. Several methods exist to analyze air quality.
Gholamreza Asadollahfardi, Mojtaba Tayebi Jebeli, Mahdi Mehdinejad, Mohammad Javad Rajabipour   +3 more
doaj   +1 more source

NICE: A Two‐Step Non‐Invasive Framework for Embryo cfDNA Read Enrichment and Quality Assessment

Advanced Science, EarlyView.
The non‐invasive NICE framework, built on an ensemble stacking machine learning model, prioritizes embryos by analyzing cell‐free DNA from spent culture medium. By integrating multimodal signals, including genomic and epigenetic profiles, this automated approach standardizes morphological assessment without human bias, paving the way for more precise ...
Xueya Zhou, Shu Ding, Zhenyi Zhang, Qiaoling Shangguan, Jie Qiao, Peijie Zhou, Yidong Chen   +6 more
wiley   +1 more source

Structural parameter optimization of radial basis function neural network based on improved genetic algorithm and cost function model

Advances in Mechanical Engineering
This paper investigates the structural parameter optimization of RBF networks with the goal of economic control. The cost function and its implementation method are analyzed, and the cost function model of RBF neural network is established.
Lianhui Li, Adham Manyara, Jie Liu
doaj   +1 more source

GRNN-Based Scattering Parameter Modeling Investigation for HBT at Different Temperature

IEEE Access, 2023
In this paper, the scattering parameter (S-parameter) modeling method for heterojunction bipolar transistor (HBT) at different temperatures is investigated. S-parameters of HBT at different temperatures are randomly divided into training and testing sets,
Qian Lin, Xiao-Zheng Wang, Hai-Feng Wu
doaj   +1 more source

Predicting Single‐Cell Perturbation Responses Across Biological Contexts With a Deep Generative Model Integrating Optimal Transport

Advanced Science, EarlyView.
Single‐cell perturbation responses are predicted across held‐out biological contexts using scPILOT, a query‐conditioned two‐stage latent response‐transfer framework. A shared latent representation supports cell‐level response estimation by latent optimal transport, followed by Leiden‐localized query‐specific transfer and adaptive weighting.
Jialiang Wang, Ziqi Liu, Zhengqian Zhang, Yikun Cao, Junjun Ren, Peng Cheng, Jingjing Tian, Lingyun Xie, Xin Lu, Zhanwei Du, Yongzhuang Liu   +10 more
wiley   +1 more source

A Hybrid Hierarchical Framework for Quantifying Mechanical Markers in Atherosclerotic Disease Progression: A New Approach for Diagnosis and Risk Assessment

Advanced Science, EarlyView.
The mechanobiological basis of atherosclerotic progression and its contribution to spatial and temporal heterogeneity remain incompletely understood. Spatially resolved AFM measurements revealed that plaque formation and distinct regions (cap fibrosis, intimal fibrosis, and lipid‐rich core) exhibit heterogeneous elastic modulus and viscoelastic ...
Yidan Zhou, Zhuo Chang, Xianjun Wu, Sijie Wang, Yuzhi Zhang, Hao Zhang, Haoyu Xu, Ruining Peng, Zhe Wang, Huiyun Xu, Yu Liu, Guangkui Xu, Nu Zhang, Hui Yang   +13 more
wiley   +1 more source