Short text topic modelling approaches in the context of big data: taxonomy, survey, and analysis [0.03%]
大数据背景下的短文本主题模型：分类、综述与分析
Belal Abdullah Hezam Murshed,Suresha Mallappa,Jemal Abawajy et al.
Belal Abdullah Hezam Murshed et al.
Social media platforms such as (Twitter, Facebook, and Weibo) are being increasingly embraced by individuals, groups, and organizations as a valuable source of information. This social media generated information comes in the form of tweets...
AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives [0.03%]
面向建筑自动化和管理系统的AI-大数据分析：现状、挑战及未来展望
Yassine Himeur,Mariam Elnour,Fodil Fadli et al.
Yassine Himeur et al.
In theory, building automation and management systems (BAMSs) can provide all the components and functionalities required for analyzing and operating buildings. However, in reality, these systems can only ensure the control of heating venti...
Applications of deep learning into supply chain management: a systematic literature review and a framework for future research [0.03%]
深度学习在供应链管理中的应用：系统性文献综述及未来研究框架
Fahimeh Hosseinnia Shavaki,Ali Ebrahimi Ghahnavieh
Fahimeh Hosseinnia Shavaki
In today's complex and ever-changing world, Supply Chain Management (SCM) is increasingly becoming a cornerstone to any company to reckon with in this global era for all industries. The rapidly growing interest in the application of Deep Le...
Securing federated learning with blockchain: a systematic literature review [0.03%]
基于区块链的联邦学习安全研究综述性文献分析
Attia Qammar,Ahmad Karim,Huansheng Ning et al.
Attia Qammar et al.
Federated learning (FL) is a promising framework for distributed machine learning that trains models without sharing local data while protecting privacy. FL exploits the concept of collaborative learning and builds privacy-preserving models...
Unsupervised feature selection based on incremental forward iterative Laplacian score [0.03%]
基于增量正向迭代Laplacian得分的无监督特征选择方法
Jiefang Jiang,Xianyong Zhang,Jilin Yang
Jiefang Jiang
Feature selection facilitates intelligent information processing, and the unsupervised learning of feature selection has become important. In terms of unsupervised feature selection, the Laplacian score (LS) provides a powerful measurement ...
Automatic captioning for medical imaging (MIC): a rapid review of literature [0.03%]
医学影像自动标注（MIC）文献快速回顾
Djamila-Romaissa Beddiar,Mourad Oussalah,Tapio Seppänen
Djamila-Romaissa Beddiar
Automatically understanding the content of medical images and delivering accurate descriptions is an emerging field of artificial intelligence that combines skills in both computer vision and natural language processing fields. Medical imag...
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...