|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Energy-based design method for seismic retrofitting with passive energy dissipation systems显示文摘 | Ali Habibi Ricky W.K. Chan Faris Albermani | 2013 | Engineering Structures2013，，： | 2 |
| 2 | Aspects of Behaviour of CFRP Reinforced Concrete Beams in Bending显示文摘 | Rafi Muhammad Masood Ali Nadjai Ali Faris | 2008 | Construction and Building Materials2008，22，3： | 1 |
| 3 | Structural performance of rotationally restrained steel cohlmns in fire显示文摘 | FARIS ALI DAVID OCONNER | 2001 | Fire Safety Journal2001，36，： | 1 |
| 4 | Numerical and experimental investigation of the behavior of high strength concrete columns in fire显示文摘 | Faris Ali Ali Nadjai S. Choi | 2009 | Engineering Structures2009，，5： | 1 |
| 5 | Structural performance of rotationally restrained steel columns in fire显示文摘 | Faris Ali David O'Conner | 2001 | Fire Safety Journal2001，36，： | 1 |
| 6 | Outcomes of a major research on fire resistance of concrete columns显示文摘 | Ali Faris Nadjai Ali Silcock Gordon | 2004 | Fire Safety Journal2004，39，6： | 1 |
| 7 | Structural performance of rotationally restrained steel columns in fire 显示文摘 | Faris Ali David O'Connor | 2001 | Fire Safety Journal2001，36，7： | 1 |
| 8 | Screening for high risk human papilloma virus(HR-HPV) subtypes,among Sudanese patients with oral lesions显示文摘 | Ali YB Faris ME Mohamed SA | | 0，，04： | 1 |
| 9 | Outcomes of a major research on fire resistance of concrete columns显示文摘 | FARIS A ALI N GORDON S | 2004 | Fire Safety Journal2004，39，： | 1 |
| 10 | Structural performance of rotationally restrained steel columns in fire 显示文摘 | Faris Ali David O′Conner | 2001 | Fire Safety Journal2001，36，： | 1 |
| 11 | Experimentaland numerical investigation of localized fire on glazing fa-cades having different orientations 显示文摘 | Quinn Michael Nadjai Ali1 Ali Faris | 2013 | Journal of Structur-al Fire Engineering2013，4，3： | 1 |
| 12 | Updated Society for Vascular Surgery guidelines for management of extracranial carotid disease显示文摘 | John J. Ricotta Ali AbuRahma Enrico Ascher Mark Eskandari Peter Faries Brajesh K. Lal | 2011 | Journal of Vascular Surgery2011，，3： | 1 |
| 13 | Screening for high risk hu-man papilloma virus(HR-HPV)subtypes,among Sudanese pa-tients with oral lesions显示文摘 | ALI Y B FARIS M E MOHAMED S A | 2013 | Int J Clin Exp Med2013，6，4： | 1 |
| 14 | An experimental and numerical study on the behavior of high strength concrete columns in fire subjeceted to high restraint显示文摘 | Faris Ali Nadjai Ali Choi S | 2010 | Engineering Structure2010，1，1： | 1 |
| 15 | Outcomes of a major research on fire resistance of concrete columns显示文摘 | Faris Ali | 2004 | Fire Safety Journal2004，39，： | 1 |
| 16 | Outcomes of a major research on fire resistance of concrete columns显示文摘 | Faris Ali Ali Nagjai Gordon Sicock Abid ABU-Tair | 2004 | Fire Safety Journal2004，39，： | 1 |
| 17 | Numerical and experimental investigation of the behavior of high strength concrete columns in fire显示文摘 | Faris All Ali Nadjai S Choi | 2010 | Engineering Structures2010，32，： | 1 |
| 18 | Image-Based Feature Extraction Technique for Inclined Crack Quanti cation Using Pulsed Eddy Current显示文摘Existing eddy current non-destructive testing(NDT) techniques generally do not consider the inclination angle of inclined cracks, which potentially harms a larger region of a tested structure. This work proposes the use of 2 D scan images generated by using pulsed eddy current(PEC) non-destructive testing(NDT) technique in the quantification of the inclination and depth of inclined cracks. The image-based feature extraction technique e ectively identifies the crack axis, which consequently enables extraction of features from the extracted linear scans. The technique extracts linear scans from the images to allow the extraction of three novel image-based features, namely the length of extracted linear scans(LLS), the linear scan skewness(LSS), and the highest value on linear scan(LSmax). The correlation of the three features to surface crack inclination angles and depths were analysed and found to be highly dependent on the crack depths, while only LLS and LSS are correlated to the crack inclination angles. | Faris Nafah Ali Sophian Md Raisuddin Khan Syamsul Bahrin Abdul Hamid Ilham Mukriz Zainal Abidin | 2019 | Chinese Journal of Mechanical Engineering2019，32，2： | 0 |
| 19 | Estimation of Evapotranspiration Using SEBAL Algorithm and Landsat-8 Data--A Case Study: Tatra Mountains Region显示文摘 | Ayad Ali Faris Beg Ahmed H. Al-Sulttani Adrian Ochtyra Anna Jarocinska Adriana Marcinkowska | 2016 | Journal of Geological Resource and Engineering2016，4，6： | 0 |
| 20 | Assuring enhanced privacy violation detection model for social networks显示文摘Purpose-Virtually unlimited amounts of data collection by cybersecurity systems put people at risk of having their privacy violated.Social networks like Facebook on the Internet provide an overplus of knowledge concerning their users.Although users relish exchanging data online,only some data are meant to be interpreted by those who see value in it.It is now essential for online social network(OSN)to regulate the privacy of their users on the Internet.This paper aims to propose an efficient privacy violation detection model(EPVDM)for OSN.Design/methodology/approach-In recent months,the prominent position of both industry and academia has been dominated by privateness,its breaches and strategies to dodge privacy violations.Corporations around the world have become aware of the effects of violating privacy and its effect on them and other stakeholders.Once privacy violations are detected,they must be reported to those affected and it’s supposed to be mandatory to make them to take the next action.Although there are different approaches to detecting breaches of privacy,most strategies do not have a functioning tool that can show the values of its subject heading.An EPVDM for Facebook,based on a deep neural network,is proposed in this research paper.Findings-The main aim of EPVDM is to identify and avoid potential privacy breaches on Facebook in the future.Experimental analyses in comparison with major intrusion detection system(IDS)to detect privacy violation show that the proposed methodology is robust,precise and scalable.The chances of breaches or possibilities of privacy violations can be identified very accurately.Originality/value-All the resultant is compared with well popular methodologies like adaboost(AB),decision tree(DT),linear regression(LR),random forest(RF)and support vector machine(SVM).It’s been identified from the analysis that the proposed model outperformed the existing techniques in terms of accuracy(94%),precision(99.1%),recall(92.43%),f-score(95.43%)and violation detection rate(>98.5%). | Ali Altalbe Faris Kateb | 2022 | International Journal of Intelligent Computing and Cybernetics2022，15，1： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员