Multicriteria group decision making via generalized trapezoidal intuitionistic fuzzy number-based novel similarity measure and its application to diverse COVID-19 scenarios [0.03%]
基于广义梯形直觉模糊数的新型相似度测度的多准则群决策及其在不同新冠肺炎场景下的应用
Palash Dutta,Gourangajit Borah
Palash Dutta
Havoc, brutality, economic breakdown, and vulnerability are the terms that can be rightly associated with COVID-19, for the kind of impact it is having on the whole world for the last two years. COVID-19 came as a nightmare and it is still ...
A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences [0.03%]
可解释人工智能的全球分类法：统一技术与社会科学术语体系
Mara Graziani,Lidia Dutkiewicz,Davide Calvaresi et al.
Mara Graziani et al.
Since its emergence in the 1960s, Artificial Intelligence (AI) has grown to conquer many technology products and their fields of application. Machine learning, as a major part of the current AI solutions, can learn from the data and through...
A velocity-guided Harris hawks optimizer for function optimization and fault diagnosis of wind turbine [0.03%]
一种用于函数优化及风力发电机故障诊断的基于速度的Harris鹰优化器
Wen Long,Jianjun Jiao,Ximing Liang et al.
Wen Long et al.
Harris hawks optimizer (HHO) is a relatively novel meta-heuristic approach that mimics the behavior of Harris hawk over the process of predating the rabbits. The simplicity and easy implementation of HHO have attracted extensive attention o...
Deep learning in the stock market-a systematic survey of practice, backtesting, and applications [0.03%]
深度学习在股市中的应用：实践、回测与展望系统的调查研究
Kenniy Olorunnimbe,Herna Viktor
Kenniy Olorunnimbe
The widespread usage of machine learning in different mainstream contexts has made deep learning the technique of choice in various domains, including finance. This systematic survey explores various scenarios employing deep learning in fin...
Global bibliometric mapping of the frontier of knowledge in the field of artificial intelligence for the period 1990-2019 [0.03%]
1990-2019年人工智能领域前沿知识的全球文献计量地图研究
Iván Manuel De la Vega Hernández,Angel Serrano Urdaneta,Elias Carayannis
Iván Manuel De la Vega Hernández
Artificial Intelligence (AI) has emerged as a field of knowledge that is displacing and disrupting technologies, leading to changes in human life. Therefore, the purpose of this study is to scientifically map this topic and its ramification...
A state-of-the-art survey of object detection techniques in microorganism image analysis: from classical methods to deep learning approaches [0.03%]
微organisms图像分析中目标检测技术的研究进展：从传统方法到深度学习方案
Pingli Ma,Chen Li,Md Mamunur Rahaman et al.
Pingli Ma et al.
Microorganisms play a vital role in human life. Therefore, microorganism detection is of great significance to human beings. However, the traditional manual microscopic detection methods have the disadvantages of long detection cycle, low d...
A survey on the use of association rules mining techniques in textual social media [0.03%]
关联规则在文本社交媒体中的挖掘技术使用调查综述
Jose A Diaz-Garcia,M Dolores Ruiz,Maria J Martin-Bautista
Jose A Diaz-Garcia
The incursion of social media in our lives has been much accentuated in the last decade. This has led to a multiplication of data mining tools aimed at obtaining knowledge from these data sources. One of the greatest challenges in this area...
Applications of artificial neural networks in microorganism image analysis: a comprehensive review from conventional multilayer perceptron to popular convolutional neural network and potential visual transformer [0.03%]
人工神经网络在微生物图像分析中的应用：从传统的多层感知器到流行的卷积神经网络和潜在的视觉转换器的全面回顾
Jinghua Zhang,Chen Li,Yimin Yin et al.
Jinghua Zhang et al.
Microorganisms are widely distributed in the human daily living environment. They play an essential role in environmental pollution control, disease prevention and treatment, and food and drug production. The analysis of microorganisms is e...
Developments in the detection of diabetic retinopathy: a state-of-the-art review of computer-aided diagnosis and machine learning methods [0.03%]
糖尿病视网膜病变检测的新进展：计算机辅助诊断和机器学习方法的现状及展望研究
Ganeshsree Selvachandran,Shio Gai Quek,Raveendran Paramesran et al.
Ganeshsree Selvachandran et al.
The exponential increase in the number of diabetics around the world has led to an equally large increase in the number of diabetic retinopathy (DR) cases which is one of the major complications caused by diabetes. Left unattended, DR worse...
Deep Neuro-Fuzzy System application trends, challenges, and future perspectives: a systematic survey [0.03%]
深度神经模糊系统应用趋势、挑战及未来前景：系统性调查研究报告
Noureen Talpur,Said Jadid Abdulkadir,Hitham Alhussian et al.
Noureen Talpur et al.
Deep neural networks (DNN) have remarkably progressed in applications involving large and complex datasets but have been criticized as a black-box. This downside has recently become a motivation for the research community to pursue the idea...