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9篇 您的检索式:作者名="Arsal"
    题名 作者 年代 出处 被引量
1Investigating online information disclosure: Effects of information relevance, trust and risk显示文摘J. Christopher Zimmer Riza Ergun Arsal Mohammad Al-Marzouq Varun Grover 2009Information & Management2009,,:1
2Investigating online information disclosure:Effects of information relevance,trust and risk显示文摘Zimmer J.C Arsal R.E Al-Marzouq M Grover V 0,,02:1
3Knowing your customers: Using a re- ciprocal relationship to enhance voluntary information dis- closure显示文摘Zimmer J C Arsal R 2010Decision Support Systems2010,48,2:1
4Investigating online information disclosure: Effects of information relevance, trust and risk 显示文摘ZIMMER J C ARSAL R E AL-MARZOUQ M 2010Information & Management2010,47,2:1
5Influence of an online travel community on travel decisions显示文摘ARSAL I 2008Information and Communication Technologies in Tourism2008,3,:1
6Investiga- ting online information disclosure : effects of information rel- evance, trust and risk 显示文摘Zimmer J C Arsal R E AI-Marzouq M 2010Information & Management2010,47,2:1
7Residents as travel destination information providers:An online community perspective显示文摘Arsal I Woosnam K M Baldwin E D 2010Journal of Travel Research2010,49,4:1
8Microteaching and pre-service teachers' sense of self- efficacy in teaching显示文摘Arsal Z 2014Eur J Teach Educ2014,37,4:1
9Force Sensitive Resistors-Based Real-Time Posture Detection System Using Machine Learning Algorithms显示文摘To detect the improper sitting posture of a person sitting on a chair,a posture detection system using machine learning classification has been proposed in this work.The addressed problem correlates to the third Sustainable Development Goal(SDG),ensuring healthy lives and promoting well-being for all ages,as specified by the World Health Organization(WHO).An improper sitting position can be fatal if one sits for a long time in the wrong position,and it can be dangerous for ulcers and lower spine discomfort.This novel study includes a practical implementation of a cushion consisting of a grid of 3×3 force-sensitive resistors(FSR)embedded to read the pressure of the person sitting on it.Additionally,the Body Mass Index(BMI)has been included to increase the resilience of the system across individual physical variances and to identify the incorrect postures(backward,front,left,and right-leaning)based on the five machine learning algorithms:ensemble boosted trees,ensemble bagged trees,ensemble subspace K-Nearest Neighbors(KNN),ensemble subspace discriminant,and ensemble RUSBoosted trees.The proposed arrangement is novel as existing works have only provided simulations without practical implementation,whereas we have implemented the proposed design in Simulink.The results validate the proposed sensor placements,and the machine learning(ML)model reaches a maximum accuracy of 99.99%,which considerably outperforms the existing works.The proposed concept is valuable as it makes it easier for people in workplaces or even at individual household levels to work for long periods without suffering from severe harmful effects from poor posture.Arsal Javaid Areeb Abbas Jehangir Arshad Mohammad Khalid Imam Rahmani Sohaib Tahir Chauhdary Mujtaba Hussain Jaffery Abdulbasid S.Banga 2023Computers, Materials & Continua2023,77,11:0
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