Developing sequentially trained robust Punjabi speech recognition system under matched and mismatched conditions [0.03%]
匹配和非匹配条件下的鲁棒性潘查布语语音识别系统的研究与开发
Puneet Bawa,Virender Kadyan,Abinash Tripathy et al.
Puneet Bawa et al.
Development of a native language robust ASR framework is very challenging as well as an active area of research. Although an urge for investigation of effective front-end as well as back-end approaches are required for tackling environment ...
Fermatean fuzzy copula aggregation operators and similarity measures-based complex proportional assessment approach for renewable energy source selection [0.03%]
基于相似性测度的费马延模糊聚合算子及可再生能源选择的复比例评估方法
Arunodaya Raj Mishra,Pratibha Rani,Abhijit Saha et al.
Arunodaya Raj Mishra et al.
Selecting the optimal renewable energy source (RES) is a complex multi-criteria decision-making (MCDM) problem due to the association of diverse conflicting criteria with uncertain information. The utilization of Fermatean fuzzy numbers is ...
Semi-supervised multi-label classification using an extended graph-based manifold regularization [0.03%]
一种扩展的图结构流形正则化半监督多标签分类方法
Ding Li,Scott Dick
Ding Li
Graph-based algorithms are known to be effective approaches to semi-supervised learning. However, there has been relatively little work on extending these algorithms to the multi-label classification case. We derive an extension of the Mani...
A systematic review of homomorphic encryption and its contributions in healthcare industry [0.03%]
同态加密的系统性综述及其在医疗行业的贡献
Kundan Munjal,Rekha Bhatia
Kundan Munjal
Cloud computing and cloud storage have contributed to a big shift in data processing and its use. Availability and accessibility of resources with the reduction of substantial work is one of the main reasons for the cloud revolution. With t...
New extension of ordinal priority approach for multiple attribute decision-making problems: design and analysis [0.03%]
优先次序法在多属性决策中的扩展研究与分析
Mohamed Abdel-Basset,Mai Mohamed,Ahmed Abdel-Monem et al.
Mohamed Abdel-Basset et al.
The selection and assessment process of appropriate robots became a more complex and complicated task due to various available alternatives and conflicting attributes which must take into consideration. Also, uncertainty which exists usuall...
Deep convolutional forest: a dynamic deep ensemble approach for spam detection in text [0.03%]
深度卷积森林：文本垃圾信息检测的动态深度集成方法
Mai A Shaaban,Yasser F Hassan,Shawkat K Guirguis
Mai A Shaaban
The increase in people's use of mobile messaging services has led to the spread of social engineering attacks like phishing, considering that spam text is one of the main factors in the dissemination of phishing attacks to steal sensitive d...
Yoshio Taniguchi,Yukino Ikegami,Hiroshi Fujikawa et al.
Yoshio Taniguchi et al.
This paper presents a counseling (ro)bot called Visual Counseling Agent (VICA) which focuses on remote mental healthcare. It is an agent system leveraging artificial intelligence (AI) to aid mentally distressed persons through speech conver...
An estimation of distribution algorithm with clustering for scenario-based robust financial optimization [0.03%]
基于聚类的场景鲁棒金融优化的分布估计算法
Wen Shi,Xiao-Min Hu,Wei-Neng Chen
Wen Shi
One important problem in financial optimization is to search for robust investment plans that can maximize return while minimizing risk. The market environment, namely the scenario of the problem in optimization, always affects the return a...
Power Muirhead mean in spherical normal fuzzy environment and its applications to multi-attribute decision-making: Spherical normal fuzzy power Muirhead mean [0.03%]
球形正态模糊幂Muirhead平均及其在多属性决策中的应用
Tansu Temel,Salih Berkan Aydemir,Yaşar Hoşcan
Tansu Temel
This study aims to propose the power Muirhead mean (PMM) operator in the spherical normal fuzzy sets (SNoFS) environment to solve multiple attribute decision-making problems. Spherical normal fuzzy sets better characterize real-world proble...
Junali Jasmine Jena,Samarendra Chandan Bindu Dash,Suresh Chandra Satapathy
Junali Jasmine Jena
Swarm-based optimization algorithms have been popularly used these days for optimization of various real world problems but sometimes it becomes hard to estimate the associated characteristics due to their stochastic nature. To ensure a ste...