Quantum OPTICS and deep self-learning on swarm intelligence algorithms for Covid-19 emergency transportation [0.03%]
量子光学和基于群智能算法的深度自学习在新冠肺炎应急运输中的应用
Habiba Drias,Yassine Drias,Naila Aziza Houacine et al.
Habiba Drias et al.
In this paper, the quantum technology is exploited to empower the OPTICS unsupervised learning algorithm, which is a density-based clustering algorithm with numerous applications in the real world. We design an algorithm called Quantum Orde...
Wavelet packet and fuzzy logic theory for automatic fault detection in induction motor [0.03%]
基于小波包和模糊逻辑的感应电动机自动故障检测方法
Hicham Talhaoui,Tarek Ameid,Oualid Aissa et al.
Hicham Talhaoui et al.
In this paper, a method based on the application of the fuzzy logic technique to diagnose the fault of broken rotor bars in an induction machine has been proposed. Through the decomposition into a wavelet packet, we can detect, identify and...
A review on quantum computing and deep learning algorithms and their applications [0.03%]
量子计算和深度学习算法及其应用的研究进展
Fevrier Valdez,Patricia Melin
Fevrier Valdez
In this paper, we describe a review concerning the Quantum Computing (QC) and Deep Learning (DL) areas and their applications in Computational Intelligence (CI). Quantum algorithms (QAs), engage the rules of quantum mechanics to solve probl...
Empirical evidence of effects of stringency amid Covid-19 pandemic spread [0.03%]
新冠肺炎疫情期间严格管控措施的效果证据
R I Minu,G Nagarajan,A Viji Amutha Mary et al.
R I Minu et al.
The objective of this paper is to provide an insight on effect of stringency in Covid-19 spread in India especially in Chennai, a city were more lockdown, and restrictions was imposed to control the infection. Even though the restriction wa...
Biserial targeted feature projection based radial kernel regressive deep belief neural learning for covid-19 prediction [0.03%]
基于双边靶向特征映射的径向核回归深信度神经学习的COVID-19预测方法
S Subash Chandra Bose,A Vinoth Kumar,Anitha Premkumar et al.
S Subash Chandra Bose et al.
Coronavirus disease 2019 (COVID-19) is a highly infectious viral disease caused by the novel SARS-CoV-2 virus. Different prediction techniques have been developed to predict the coronavirus disease's existence in patients. However, the accu...
Dynamic multi-variant relational scheme-based intelligent ETL framework for healthcare management [0.03%]
一种基于动态多变体关系模式的智能ETL框架用于医疗管理
Vijayalakshmi Manickam,Minu Rajasekaran Indra
Vijayalakshmi Manickam
The growth of information technology has opened the gate for the organizations to maintain their data in various forms and at various volumes. This increases the volume and dimension of data being maintained. However, they store their data ...
SCLAVOEM: hyper parameter optimization approach to predictive modelling of COVID-19 infodemic tweets using smote and classifier vote ensemble [0.03%]
基于SMOTE和分类器投票集成的COVID-19信息流行病学推文预测建模的超参数优化方法
Taiwo Olaleye,Adebayo Abayomi-Alli,Kayode Adesemowo et al.
Taiwo Olaleye et al.
Fake COVID-19 tweets are dangerous since they are misinformative, completely inaccurate, as threatening the efforts for flattening the pandemic curve. Thus, aside the COVID-19 pandemic, dealing with fake news and myths about the virus const...
Hojjat Emami
Hojjat Emami
This paper introduces a new swarm intelligence strategy, anti-coronavirus optimization (ACVO) algorithm. This algorithm is a multi-agent strategy, in which each agent is a person that tries to stay healthy and slow down the spread of COVID-...
Mohammed Alweshah
Mohammed Alweshah
Classification is a technique in data mining that is used to predict the value of a categorical variable and to produce input data and datasets of varying values. The classification algorithm makes use of the training datasets to build a mo...
CFDIL: a context-aware feature deep interaction learning for app recommendation [0.03%]
基于上下文感知的深度学习用户App兴趣模型研究
Qingbo Hao,Ke Zhu,Chundong Wang et al.
Qingbo Hao et al.
The rapid development of mobile Internet has spawned various mobile applications (apps). A large number of apps make it difficult for users to choose apps conveniently, causing the app overload problem. As the most effective tool to solve t...