Intelligent attendance monitoring system with spatio-temporal human action recognition [0.03%]
具备时空人体动作识别的智能考勤监控系统
Ming-Fong Tsai,Min-Hao Li
Ming-Fong Tsai
This paper proposes an intelligent attendance monitoring system based on spatio-temporal human action recognition, which includes human skeleton gait recognition, multi-action body silhouette recognition and face recognition. Our system sol...
An improved butterfly optimization algorithm for training the feed-forward artificial neural networks [0.03%]
一种改进的蝴蝶优化算法用于训练前馈人工神经网络
Büşra Irmak,Murat Karakoyun,Şaban Gülcü
Büşra Irmak
Artificial neural network (ANN) which is an information processing technique developed by modeling the nervous system of the human brain is one of the most powerful learning methods today. One of the factors that make ANN successful is its ...
Algorithms for Covid-19 outbreak using soft set theory: estimation and application [0.03%]
基于软集理论的COVID-19疫情算法：估计与应用
Orhan Dalkılıç,Naime Demirtaş
Orhan Dalkılıç
Coronavirus disease (Covid-19) is a novel pandemic disease. Covid-19 originates from SARS-COV2 and represents the cause of a potentially fatal disease as a global public health problem. However, we have to renew our knowledge about the symp...
Prabhash Kumar Singh,Biswapati Jana,Kakali Datta
Prabhash Kumar Singh
Secret communication of sensitive data must progress in a trustworthy environment through data hiding. Using Mamdani fuzzy logic to identify color proximity at the block level and a shared secret key and post-processing system, this paper a...
Multi-criteria decision making for determining best teaching method using fuzzy analytical hierarchy process [0.03%]
基于模糊层次分析过程的确定最佳教学方法的多准则决策问题
Sheng-Li Xu,Tang Yeyao,Mohammad Shabaz
Sheng-Li Xu
During the outbreak of COVID-19, information technology played a critical role in promoting education all around the world. Online teaching boosts students' learning processes and has a good impact on their learning during the epidemic. Big...
Various aggregation operators of the generalized hesitant fuzzy numbers based on Archimedean t-norm and t-conorm functions [0.03%]
基于Archimedean T-N范数和T-Con范数函数的广义犹豫模糊数字的各种聚合算子
Harish Garg,Abazar Keikha
Harish Garg
This paper intends to introduce mathematical tools for aggregation of the generalized hesitant fuzzy numbers in order to increase the use of them in the real world. The proposed operators, are based on general form of t-norm and t-conorm fu...
Deep learning models for detecting respiratory pathologies from raw lung auscultation sounds [0.03%]
基于深度学习的肺部听诊呼吸病理分析模型
Ali Mohammad Alqudah,Shoroq Qazan,Yusra M Obeidat
Ali Mohammad Alqudah
In recent years deep learning models improve the diagnosis performance of many diseases especially respiratory diseases. This paper will propose an evaluation for the performance of different deep learning models associated with the raw lun...
The reliability analysis based on the generalized intuitionistic fuzzy two-parameter Pareto distribution [0.03%]
基于广义直觉模糊双参数帕累托分布的可靠性分析
Zahra Roohanizadeh,Ezzatallah Baloui Jamkhaneh,Einolah Deiri
Zahra Roohanizadeh
In this paper, the two-parameter Pareto lifetime distribution is considered with vague shape and scale parameters, where parameters are set as generalized intuitionistic fuzzy numbers. A new L-R type intuitionistic fuzzy number is introduce...
Complex q-rung orthopair fuzzy Frank aggregation operators and their application to multi-attribute decision making [0.03%]
复杂q-秩正交对模糊Frank聚合算子及其在多属性决策中的应用
Yuqin Du,Xiangjun Du,Yuanyuan Li et al.
Yuqin Du et al.
The complex q-rung orthopair fuzzy sets (Cq-ROFSs) can serve as a generalization of q-rung orthopair fuzzy sets (q-ROFSs) and complex fuzzy sets FS (CFSs). Cq-ROFSs provide more freedom for people handling uncertainty and vagueness by the t...
An automatic and intelligent brain tumor detection using Lee sigma filtered histogram segmentation model [0.03%]
基于Lee Sigma滤波直方图分割模型的自动智能脑肿瘤检测方法研究
Simy Mary Kurian,Sujitha Juliet
Simy Mary Kurian
Brain tumors are the second important origin of death worldwide. The early and exact identification of brain tumors is significant for the healing process. With accelerating diagnoses, medicine as well as pricing, quantum computing permits ...