POCASUM : Policy Categorizer and Summarizer Based on Text Mining and Machine Learning [0.03%]
基于文本挖掘和机器学习的政策分类器和总结工具POCASUM
Rushikesh Deotale,Shreyash Rawat,V Vijayarajan et al.
Rushikesh Deotale et al.
Having control over your data is a right and a duty that every citizen has in our digital society. It is often that users skip entire policies of applications or websites to save time and energy without realizing the potential sticky points...
Machine learning-based self-sensing of the stiffness of shape memory coil actuator [0.03%]
基于机器学习的形状记忆线圈致动器刚度自感知技术
Bhagoji Bapurao Sul,K Dhanalakshami
Bhagoji Bapurao Sul
Self-sensing actuation (SSA) assists in sensing the vital property of the shape memory coil which can be used to monitor and control the actuation in smart equipment as well as robotics. The stiffness characteristic of the shape memory coil...
An Intelligent handcrafted feature selection using Archimedes optimization algorithm for facial analysis [0.03%]
一种基于阿基米德优化算法的智能手工选择面部分析特征的方法
Imène Neggaz,Hadria Fizazi
Imène Neggaz
Human facial analysis (HFA) has recently become an attractive topic for computer vision research due to technological progress and mobile applications. HFA explores several issues as gender recognition (GR), facial expression, age, and race...
A novel depreciation approach in an uncertain environment: interval type-2 fuzzy sets in the maritime industry [0.03%]
一种不确定环境下的新型折旧方法：海上运输业的区间T2FS应用研究
Ercan Akan,Kasim Kiraci
Ercan Akan
This study aims to propose a novel model for the determination of depreciation in an environment of uncertainty. In the study, amortization methods were modified through interval type-2 fuzzy, and a new approach was proposed to help investo...
Integrating supplier selection, lot sizing and facility location decisions under a TBL approach: a case study [0.03%]
基于TBL方法的集成供应商选择、批量规模和设施选址决策研究——案例研究
Mehmet Alegoz,Haluk Yapicioglu
Mehmet Alegoz
Triple bottom line (TBL) is one of the well-known frameworks for measuring the sustainability of a system in which environmental and social aspects are also considered together with the economic aspect. In this study, we consider the integr...
Mixed models for optimal saving with labor income risk and interest-rate risk [0.03%]
含劳动收入风险和利率风险下的最优储蓄的混合模型
Irina Georgescu
Irina Georgescu
In this paper, optimal saving models with two risk components are studied: the labor income risk and the interest rate risk. These risks can be modeled probabilistically by random variables or possibilistically by fuzzy numbers. In mixed mo...
COVID-19 detection from chest x-ray using MobileNet and residual separable convolution block [0.03%]
基于MobileNet和残差可分离卷积块的胸部X光新冠肺炎检测方法
V Santhosh Kumar Tangudu,Jagadeesh Kakarla,Isunuri Bala Venkateswarlu
V Santhosh Kumar Tangudu
A newly emerged coronavirus disease affects the social and economical life of the world. This virus mainly infects the respiratory system and spreads with airborne communication. Several countries witness the serious consequences of the COV...
Deep learning approaches for detecting DDoS attacks: a systematic review [0.03%]
基于深度学习的DDoS攻击检测方法综述研究
Meenakshi Mittal,Krishan Kumar,Sunny Behal
Meenakshi Mittal
In today's world, technology has become an inevitable part of human life. In fact, during the Covid-19 pandemic, everything from the corporate world to educational institutes has shifted from offline to online. It leads to exponential incre...
Distance education tool selection using novel spherical fuzzy AHP EDAS [0.03%]
基于新型球形模糊AHP-EDAS的远程教育工具选择模型研究
Akın Menekşe,Hatice Camgöz Akdağ
Akın Menekşe
COVID 19 pandemic, which entered our lives suddenly, caused the change of our classical education system and forced higher education institutions to switch to distance education quickly. During this time, the need for a method that can comp...
A new limited memory method for unconstrained nonlinear least squares [0.03%]
一个新的无约束非线性最小二乘问题的有限内存法
Morteza Kimiaei,Arnold Neumaier
Morteza Kimiaei
This paper suggests a new limited memory trust region algorithm for large unconstrained black box least squares problems, called LMLS. Main features of LMLS are a new non-monotone technique, a new adaptive radius strategy, a new Broyden-lik...