Decades on emergency decision-making: a bibliometric analysis and literature review [0.03%]
应急决策领域的文献计量分析和综述：基于几十年的研究
Lin-Xiu Hou,Ling-Xiang Mao,Hu-Chen Liu et al.
Lin-Xiu Hou et al.
When an emergency occurs, effective decisions should be made in a limited time to reduce the casualties and economic losses as much as possible. In the past decades, emergency decision-making (EDM) has become a research hotspot and a lot of...
Complex T-spherical fuzzy Dombi aggregation operators and their applications in multiple-criteria decision-making [0.03%]
复数T- spherical模糊Dombi聚集算子及其在多准则决策中的应用
Faruk Karaaslan,Mohammed Allaw Dawood Dawood
Faruk Karaaslan
Complex fuzzy (CF) sets (CFSs) have a significant role in modelling the problems involving two-dimensional information. Recently, the extensions of CFSs have gained the attention of researchers studying decision-making methods. The complex ...
A systematic review on AI/ML approaches against COVID-19 outbreak [0.03%]
针对2019冠状病毒病爆发的AI / ML方法系统综述
Onur Dogan,Sanju Tiwari,M A Jabbar et al.
Onur Dogan et al.
A pandemic disease, COVID-19, has caused trouble worldwide by infecting millions of people. The studies that apply artificial intelligence (AI) and machine learning (ML) methods for various purposes against the COVID-19 outbreak have increa...
A construction of a conformal Chebyshev chaotic map based authentication protocol for healthcare telemedicine services [0.03%]
一种基于共形Chebyshev混沌映射的身份认证协议在远程医疗服务中的构造方法
Dharminder Dharminder,Uddeshaya Kumar,Pratik Gupta
Dharminder Dharminder
The outbreak of coronavirus has caused widespread global havoc, and the implementation of lockdown to contain the spread of the virus has caused increased levels of online healthcare services. Upgraded network technology gives birth to a ne...
Multi-criteria healthcare waste disposal location selection based on Fermatean fuzzy WASPAS method [0.03%]
基于Fermatean模糊WASPAS方法的多准则医疗卫生废物处置地点选择
Arunodaya Raj Mishra,Pratibha Rani
Arunodaya Raj Mishra
Medical services inevitably generate healthcare waste (HCW) that may become hazardous to healthcare staffs, patients, the population, and the atmosphere. In most of the developing countries, HCW disposal management has become one of the fas...
A review on Deep Learning approaches for low-dose Computed Tomography restoration [0.03%]
深度学习在低剂量计算机断层扫描修复中的应用研究综述
K A Saneera Hemantha Kulathilake,Nor Aniza Abdullah,Aznul Qalid Md Sabri et al.
K A Saneera Hemantha Kulathilake et al.
Computed Tomography (CT) is a widely use medical image modality in clinical medicine, because it produces excellent visualizations of fine structural details of the human body. In clinical procedures, it is desirable to acquire CT scans by ...
Vikash Kumar,Ditipriya Sinha
Vikash Kumar
With the introduction of the Internet to the mainstream like e-commerce, online banking, health system and other day-to-day essentials, risk of being exposed to various are increasing exponentially. Zero-day attack(s) targeting unknown vuln...
A new mathematical model for determining optimal workforce planning of pilots in an airline company [0.03%]
确定航空公司员工规划的新型数学模型
İbrahim Zeki Akyurt,Yusuf Kuvvetli,Muhammet Deveci et al.
İbrahim Zeki Akyurt et al.
This study aims to model a workforce-planning problem of pilot roles which include captain and first officer in an airline company and to make an efficient plan having maximal utilization of minimum workforce requirements. To tackle this pr...
O2O selection mode portrait and optimization for railway service enterprises based on K-means [0.03%]
基于K-均值的铁路服务企业O2O选择模式画像及优化研究
Changsuo Sun,Long Ye,Na Zhang
Changsuo Sun
Establishing a platform successfully is just the basis for railway service companies to meet the demands of online to offline (O2O) supply chain services. In this paper, the K-means algorithm is first used to construct the user segmentation...
O-WCNN: an optimized integration of spatial and spectral feature map for arrhythmia classification [0.03%]
O-WCNN：一种优化的空间和光谱特征图集成方法用于心律失常分类
Manisha Jangra,Sanjeev Kumar Dhull,Krishna Kant Singh et al.
Manisha Jangra et al.
The regular monitoring and accurate diagnosis of arrhythmia are critically important, leading to a reduction in mortality rate due to cardiovascular diseases (CVD) such as heart stroke or cardiac arrest. This paper proposes a novel convolut...